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<h1 align="center">Awesome AI Agent Stack</h1> <a href="https://awesome.re"><img src="https://awesome.re/badge.svg" alt="Awesome"></a> <a href="https://tayyabimam1.github.io/awesome-ai-agent-stack/"><img src="https://img.shields.io/badge/website-live-0969da?style=flat" alt="Website"></a> <a href="https://github.com/tayyabimam1/awesome-ai-agent-stack/stargazers"><img src="https://img.shields.io/github/stars/tayyabimam1/awesome-ai-agent-stack?style=flat" alt="Stars"></a> <a href="https://github.com/tayyabimam1/awesome-ai-agent-stack/commits/main"><img src="https://img.shields.io/github/last-commit/tayyabimam1/awesome-ai-agent-stack?style=flat" alt="Last commit"></a> A curated, layer-by-layer map of the tools I actually use to build AI agents — from the coding agent in your terminal down to the model serving the tokens. <a href="https://tayyabimam1.github.io/awesome-ai-agent-stack/">Browse the website</a> · <a href="https://github.com/tayyabimam1/awesome-ai-agent-stack/edit/main/README.md">Suggest a tool</a> <a href="https://tayyabimam1.github.io/awesome-ai-agent-stack/"><img src=".github/site-preview.jpg" alt="The Awesome AI Agent Stack website: 3,000+ tools in 29 categories, ranked by GitHub stars" width="860"></a> **3,000+ tools across 29 categories, ranked by GitHub stars.** Each section is split into sub-groups by what the tools do. Every entry passes a mechanical bar: real, public, not archived, and actively maintained (pushed in the last 12 months); new additions also need 1,000+ stars. Every link is re-checked against the GitHub API, and projects under 10,000 stars that stop being maintained are pruned. Organized as a **stack** so you can find the right tool for each layer of an agent system. **On the website** you can search every tool, sort any category by stars, and see the most-starred projects in each layer. It rebuilds from this README on every change. > If this list saves you time, **[give it a star](https://github.com/tayyabimam1/awesome-ai-agent-stack/stargazers)** — it helps other builders find it. ``` ┌──────────────────────────────────────────────────────────────┐ │ Coding Agents & Harnesses → Skills & Context Engineering │ ← how you build ├──────────────────────────────────────────────────────────────┤ │ Agent Frameworks → Memory → RAG → MCP / Tools │ ← what you build with ├──────────────────────────────────────────────────────────────┤ │ Sandboxes & Browsers → Document Ingestion → Workflows │ ← what agents act on ├──────────────────────────────────────────────────────────────┤ │ Gateways & Routing → Free LLM APIs → Local Inference │ ← where tokens come from ├──────────────────────────────────────────────────────────────┤ │ Evaluation, Observability & Review → Reference Systems │ ← how you ship └──────────────────────────────────────────────────────────────┘ ``` ## Contents - [Coding Agents & Harnesses](#coding-agents--harnesses) - [Skills, Plugins & Context Engineering](#skills-plugins--context-engineering) - [Agent Frameworks & Orchestration](#agent-frameworks--orchestration) - [Memory & Persistent Context](#memory--persistent-context) - [RAG & Retrieval](#rag--retrieval) - [MCP Servers & Tool Integration](#mcp-servers--tool-integration) - [Sandboxes, Browsers & Computer Use](#sandboxes-browsers--computer-use) - [Document Processing & Data Ingestion](#document-processing--data-ingestion) - [Workflow Automation](#workflow-automation) - [Model Gateways & Routing](#model-gateways--routing) - [Free LLM APIs & Free Tiers](#free-llm-apis--free-tiers) - [Local Models, Inference & Hardware](#local-models-inference--hardware) - [Evaluation, Observability & Code Review](#evaluation-observability--code-review) - [Production Architectures & Reference Systems](#production-architectures--reference-systems) - [UI & Application Layer](#ui--application-layer) - [Learning Path](#learning-path) - [Voice, Speech & Audio](#voice-speech--audio) - [Vision & Multimodal](#vision--multimodal) - [Image, Video & Creative Generation](#image-video--creative-generation) - [Computer Use & GUI Agents](#computer-use--gui-agents) - [Structured Output, Guardrails & Safety](#structured-output-guardrails--safety) - [Chat UIs & Application Layer](#chat-uis--application-layer) - [Deployment, Serving & MLOps](#deployment-serving--mlops) - [Data, Datasets & Synthetic Data](#data-datasets--synthetic-data) - [Domain Agents: Finance, Healthcare, Research & More](#domain-agents-finance-healthcare-research--more) - [Assistants, Copilots & Personal Agents](#assistants-copilots--personal-agents) - [Interpretability, Alignment & Research](#interpretability-alignment--research) - [Developer Tools & Utilities](#developer-tools--utilities) - [Other Awesome Lists](#other-awesome-lists) ## Coding Agents & Harnesses *The agent that writes the code. Pick one, learn it deeply.* **Terminal coding agents** - [anthropics/claude-code](https://github.com/anthropics/claude-code) - Anthropic's terminal coding agent; the reference harness most of this list is built around. - [openai/codex](https://github.com/openai/codex) - OpenAI's lightweight terminal coding agent. - [google-gemini/gemini-cli](https://github.com/google-gemini/gemini-cli) - Gemini in the terminal with a generous free tier. - [anomalyco/opencode](https://github.com/anomalyco/opencode) - Open-source, provider-agnostic coding agent with a polished TUI. - [Aider-AI/aider](https://github.com/Aider-AI/aider) - Pair-programming in the terminal with git-native edits; the original open coding agent. - [QwenLM/qwen-code](https://github.com/QwenLM/qwen-code) - Alibaba's open-source terminal coding agent with MCP support. - [Gitlawb/openclaude](https://github.com/Gitlawb/openclaude) - Open Claude Code-compatible harness that runs on any provider. - [deepseek-ai/deepseek-harness](https://github.com/deepseek-ai/deepseek-harness) - Plugin-first agent harness from DeepSeek. - [earendil-works/pi](https://github.com/earendil-works/pi) - AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI. - [shareAI-lab/learn-claude-code](https://github.com/shareAI-lab/learn-claude-code) - Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1. - [1jehuang/jcode](https://github.com/1jehuang/jcode) - Memory-efficient terminal coding agent for repo work. - [aws/amazon-q-developer-cli](https://github.com/aws/amazon-q-developer-cli) - AWS terminal coding agent with AWS service integration. - [build-with-groq/groq-code-cli](https://github.com/build-with-groq/groq-code-cli) - Lightweight terminal coding agent for Groq models. - [can1357/oh-my-pi](https://github.com/can1357/oh-my-pi) - Terminal coding agent with anchored edits and subagents. - [CodebuffAI/freebuff](https://github.com/CodebuffAI/freebuff) - Free AI coding agent for the terminal. - [CommandCodeAI/command-code](https://github.com/CommandCodeAI/command-code) - Terminal coding agent supporting multiple model providers. - [dhanji/g3](https://github.com/dhanji/g3) - Minimal terminal coding agent with multi-model support. - [esengine/DeepSeek-Reasonix](https://github.com/esengine/DeepSeek-Reasonix) - Terminal coding agent tuned for DeepSeek models. - [gi-dellav/zerostack](https://github.com/gi-dellav/zerostack) - Lightweight Rust coding agent with Git worktrees and ACP. - [github/copilot-cli](https://github.com/github/copilot-cli) - GitHub's terminal coding agent for repo tasks and commands. - [Hmbown/Codewhale](https://github.com/Hmbown/Codewhale) - Rust terminal coding agent with MCP, worktrees, and subagents. - [gptme/gptme](https://github.com/gptme/gptme) - Terminal agent that codes, browses, and runs autonomously. - [Kuberwastaken/claurst](https://github.com/Kuberwastaken/claurst) - Agentic coding assistant for builders who ship. - [letta-ai/letta-code](https://github.com/letta-ai/letta-code) - Stateful terminal coding agent with persistent memory. - [MayDay-wpf/snow-cli](https://github.com/MayDay-wpf/snow-cli) - Terminal coding agent for OpenAI, Gemini, Claude workflows. - [MoonshotAI/kimi-code](https://github.com/MoonshotAI/kimi-code) - Moonshot's terminal coding agent with MCP support. - [mistralai/mistral-vibe](https://github.com/mistralai/mistral-vibe) - Mistral's terminal coding agent with planning and delegation. - [Nano-Collective/nanocoder](https://github.com/Nano-Collective/nanocoder) - Local-first terminal coding agent with bring-your-own-model. - [neovateai/neovate-code](https://github.com/neovateai/neovate-code) - Terminal coding agent for codegen, fixes, and headless runs. - [plandex-ai/plandex](https://github.com/plandex-ai/plandex) - Plan-first terminal coding agent for large codebases. - [solvyxtech/molt](https://github.com/solvyxtech/molt) - Coding agent refusing unproven done claims with receipts. - [superagent-ai/grok-cli](https://github.com/superagent-ai/grok-cli) - Open-source terminal coding agent for the Grok API. - [SWE-agent/mini-swe-agent](https://github.com/SWE-agent/mini-swe-agent) - Minimalist terminal coding agent for SWE tasks. - [tailcallhq/forgecode](https://github.com/tailcallhq/forgecode) - Terminal pair programmer with multi-provider model support. - [truffle-ai/dexto](https://github.com/truffle-ai/dexto) - Terminal coding agent with local-first tool execution. - [vinhnx/VTCode](https://github.com/vinhnx/VTCode) - Rust terminal coding agent with native sandboxing. - [vercel-labs/fx](https://github.com/vercel-labs/fx) - Small embeddable Zig coding agent with a Unix-like CLI. - [XiaomiMiMo/MiMo-Code](https://github.com/XiaomiMiMo/MiMo-Code) - Xiaomi's terminal coding agent with skills and worktrees. - [xai-org/grok-build](https://github.com/xai-org/grok-build) - xAI terminal coding agent with full-screen interface. - [vstorm-co/pydantic-deepagents](https://github.com/vstorm-co/pydantic-deepagents) - Self-hosted terminal coding assistant and Python framework for deep agents. - [charmbracelet/crush](https://github.com/charmbracelet/crush) - Glamourous agentic coding for all. - [stakpak/agent](https://github.com/stakpak/agent) - Terminal AI coding agent for agentic software engineering. - [Tura-AI/tura](https://github.com/Tura-AI/tura) - Coding agent harness with terminal and editor integrations. - [vybestack/llxprt-code](https://github.com/vybestack/llxprt-code) - Multi-provider AI coding assistant CLI for terminal workflows. **IDE, editor & desktop agents** - [cline/cline](https://github.com/cline/cline) - Autonomous coding agent inside VS Code with human-in-the-loop approvals. - [continuedev/continue](https://github.com/continuedev/continue) - Open-source coding agent. - [Kilo-Org/kilocode](https://github.com/Kilo-Org/kilocode) - Open-source agentic coding platform for VS Code and JetBrains; the Roo Code successor. - [intitni/CopilotForXcode](https://github.com/intitni/CopilotForXcode) - The first GitHub Copilot, Codeium and ChatGPT Xcode Source Editor Extension. - [TabbyML/tabby](https://github.com/TabbyML/tabby) - Self-hosted AI coding assistant with autocomplete, chat, and RAG. - [avante-corp/avante.nvim](https://github.com/avante-corp/avante.nvim) - Cursor-style AI coding features for Neovim. - [baiyuscc13724-max/deepseek-harness-desktop](https://github.com/baiyuscc13724-max/deepseek-harness-desktop) - Desktop client for the DeepSeek Harness coding workbench. - [coder/claudecode.nvim](https://github.com/coder/claudecode.nvim) - Neovim bridge making it a first-class Claude Code IDE. - [olimorris/codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim) - ACP-based AI chat and coding assistant for Neovim. - [PawanOsman/OpenCursor](https://github.com/PawanOsman/OpenCursor) - VS Code coding agent with agentic chat and semantic search. - [stagewise-io/stagewise](https://github.com/stagewise-io/stagewise) - Agentic IDE with code editing and app previews. - [warpdotdev/warp](https://github.com/warpdotdev/warp) - Agentic terminal combining a modern shell with coding agents. - [trypear/pearai-master](https://github.com/trypear/pearai-master) - Open-source AI-native code editor (PearAI). - [winfunc/opcode](https://github.com/winfunc/opcode) - Desktop GUI for Claude Code: custom agents and sessions. - [Exafunction/windsurf.nvim](https://github.com/Exafunction/windsurf.nvim) - Native Windsurf Neovim plugin with completions and chat. - [zed-industries/zed](https://github.com/zed-industries/zed) - High-performance editor with built-in agentic coding. - [editor-code-assistant/eca](https://github.com/editor-code-assistant/eca) - Editor-agnostic AI pair programming server and protocol. - [github/CopilotForXcode](https://github.com/github/CopilotForXcode) - GitHub's official Copilot coding assistant for Xcode. **Autonomous software engineers** - [OpenHands/OpenHands](https://github.com/OpenHands/OpenHands) - Autonomous software-development agent platform with sandboxed execution. - [aaif-goose/goose](https://github.com/aaif-goose/goose) - Extensible open-source agent that installs, runs and tests code with any LLM. - [Significant-Gravitas/AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) - The project that started the autonomous-agent wave; now a platform for building agents. - [coleam00/remote-agentic-coding-system](https://github.com/coleam00/remote-agentic-coding-system) - Run coding agents remotely with a persistent workspace. - [ai-christianson/RA.Aid](https://github.com/ai-christianson/RA.Aid) - Autonomous dev agent that plans, edits, and validates. - [AndyMik90/Aperant](https://github.com/AndyMik90/Aperant) - Autonomous multi-session AI coding with verification. - [aws-samples/remote-swe-agents](https://github.com/aws-samples/remote-swe-agents) - AWS samples for running SWE agents remotely. - [bytedance/trae-agent](https://github.com/bytedance/trae-agent) - ByteDance's software engineering agent for repo tasks. - [ColeMurray/background-agents](https://github.com/ColeMurray/background-agents) - Self-hosted background coding system for repo tasks. - [HKUDS/DeepCode](https://github.com/HKUDS/DeepCode) - Agentic coding system turning specs into code and sites. - [imbue-ai/sculptor](https://github.com/imbue-ai/sculptor) - Imbue's coding agent with verification harnesses. - [langchain-ai/open-swe](https://github.com/langchain-ai/open-swe) - Async coding agent working tasks in isolated environments. - [PrimeIntellect-ai/prime-agent](https://github.com/PrimeIntellect-ai/prime-agent) - Self-improving coding agent for long-running tasks. - [Pythagora-io/gpt-pilot](https://github.com/Pythagora-io/gpt-pilot) - AI developer that plans, writes, and debugs whole apps. - [stitionai/devika](https://github.com/stitionai/devika) - Autonomous software engineer that plans and writes apps. - [SWE-agent/SWE-agent](https://github.com/SWE-agent/SWE-agent) - Autonomous agent that resolves real GitHub issues. - [wrtnlabs/autobe](https://github.com/wrtnlabs/autobe) - Backend coding agent generating compiler-validated TypeScript servers. - [chaitin/MonkeyCode](https://github.com/chaitin/MonkeyCode) - AI coding platform for teams. **General-purpose agent harnesses** - [NousResearch/hermes-agent](https://github.com/NousResearch/hermes-agent) - Self-improving general-purpose agent with a large skills ecosystem. - [openclaw/openclaw](https://github.com/openclaw/openclaw) - Cross-platform agent that operates the OS, not just the editor. - [agentlas-ai/Agentlas-OS](https://github.com/agentlas-ai/Agentlas-OS) - Local-first OS staffing specialist agent teams per task. - [truefoundry/trueforge](https://github.com/truefoundry/trueforge) - Open-source agent harness that turns an LLM into a working agent runtime. - [autonomous-ai/openharness](https://github.com/autonomous-ai/openharness) - Harness to run all your coding agents across all your machines. - [androoAGI/starnet](https://github.com/androoAGI/starnet) - Local-first desktop agent harness where agents work in a pixel-art station. **Multi-agent orchestration on top of coding agents** - [stablyai/orca](https://github.com/stablyai/orca) - Agentic Development Environment for running fleets of parallel coding agents. - [Yeachan-Heo/oh-my-claudecode](https://github.com/Yeachan-Heo/oh-my-claudecode) - Teams-first multi-agent orchestration layer for Claude Code. - [code-yeongyu/oh-my-openagent](https://github.com/code-yeongyu/oh-my-openagent) - Graph-based multi-agent workflows triggered from a single prompt. - [openai/codex-plugin-cc](https://github.com/openai/codex-plugin-cc) - Delegate review or tasks from Claude Code to Codex. - [asheshgoplani/agent-deck](https://github.com/asheshgoplani/agent-deck) - Kanban-style TUI for running parallel coding agents. - [AutoMaker-Org/automaker](https://github.com/AutoMaker-Org/automaker) - Autonomous coding agent orchestrator for multi-agent builds. - [awslabs/cli-agent-orchestrator](https://github.com/awslabs/cli-agent-orchestrator) - AWS Labs harness for orchestrating CLI coding agents. - [Charlie85270/Dorothy](https://github.com/Charlie85270/Dorothy) - TUI dashboard for parallel Claude Code sessions. - [coder/xum](https://github.com/coder/xum) - A desktop app for isolated, parallel agentic development. - [Dicklesworthstone/ntm](https://github.com/Dicklesworthstone/ntm) - Named tmux manager coordinating AI coding agents. - [dagger/container-use](https://github.com/dagger/container-use) - Isolated dev environments for parallel coding agents. - [gastownhall/gastown](https://github.com/gastownhall/gastown) - Terminal multi-agent coding orchestrator. - [generalaction/emdash](https://github.com/generalaction/emdash) - Open-source agentic development environment for running coding agents in parallel. - [getpaseo/paseo](https://github.com/getpaseo/paseo) - Parallel coding agent orchestrator for Claude and Codex. - [herdrdev/herdr](https://github.com/herdrdev/herdr) - Agent-aware multiplexer for building agentic coding systems. - [johannesjo/parallel-code](https://github.com/johannesjo/parallel-code) - Run multiple coding agents in parallel workspaces. - [launchapp-dev/animus-cli](https://github.com/launchapp-dev/animus-cli) - Orchestrator running multi-model dev teams from YAML. - [looptroop-ai/LoopTroop](https://github.com/looptroop-ai/LoopTroop) - Local AI coding orchestration for repo-scale work. - [madarco/agentbox](https://github.com/madarco/agentbox) - Run coding agents in parallel sandboxed VMs. - [mixpeek/amux](https://github.com/mixpeek/amux) - Control plane running dozens of parallel coding agents. - [nimbalyst/nimbalyst](https://github.com/nimbalyst/nimbalyst) - Open-source visual workspace for Claude Code, Codex, and OpenCode. - [nwiizo/ccswarm](https://github.com/nwiizo/ccswarm) - Swarm manager orchestrating Claude Code sessions in worktrees. - [Orkas-AI/Orkas](https://github.com/Orkas-AI/Orkas) - Local-first desktop AI workforce coordinating coding agents. - [penso/arbor](https://github.com/penso/arbor) - Multi-agent coding orchestration in the terminal. - [proliferate-ai/proliferate](https://github.com/proliferate-ai/proliferate) - Agent IDE for Claude Code, Codex, and Gemini in parallel. - [pungme/superagent-desktop](https://github.com/pungme/superagent-desktop) - macOS desktop giving coding agents a browser and simulator. - [raysonmeng/agent-bridge](https://github.com/raysonmeng/agent-bridge) - Local bridge for Claude Code and Codex collaboration. - [sahithvibudhi/vibe-tree](https://github.com/sahithvibudhi/vibe-tree) - Execute Claude Code tasks in parallel git worktrees. - [simion/termic](https://github.com/simion/termic) - Terminal multiplexer for agent coding sessions. - [smtg-ai/claude-squad](https://github.com/smtg-ai/claude-squad) - Manage multiple Claude Code agents from one unified TUI. - [standardagents/dmux](https://github.com/standardagents/dmux) - tmux-based multiplexer for parallel agent sessions. - [stravu/crystal](https://github.com/stravu/crystal) - Desktop app running parallel Claude Code sessions. - [subsy/ralph-tui](https://github.com/subsy/ralph-tui) - TUI runner for Ralph-style autonomous coding loops. - [superset-sh/superset](https://github.com/superset-sh/superset) - Agentic IDE orchestrating 100+ coding agents in parallel. - [tempestai-dev/tempest](https://github.com/tempestai-dev/tempest) - Tauri desktop running CLI coding agents in parallel. - [YoanWai/agent-manager](https://github.com/YoanWai/agent-manager) - Go TUI running coding agents side by side in tmux. - [iOfficeAI/AionUi](https://github.com/iOfficeAI/AionUi) - Desktop cowork app that runs Claude Code, Codex, OpenCode and other agents. - [manaflow-ai/cmux](https://github.com/manaflow-ai/cmux) - Ghostty-based macOS terminal with vertical tabs and notifications for coding agents. - [openchamber/openchamber](https://github.com/openchamber/openchamber) - Agentic development environment built on the OpenCode agent. - [alvinunreal/oh-my-opencode-slim](https://github.com/alvinunreal/oh-my-opencode-slim) - Lean multi-agent suite for OpenCode with model mixing and auto delegation. - [darrenhinde/OpenAgentsControl](https://github.com/darrenhinde/OpenAgentsControl) - Plan-first agent framework with approval-gated execution for coding workflows. - [codeaholicguy/ai-devkit](https://github.com/codeaholicguy/ai-devkit) - Control plane for managing and standardizing AI coding agents. - [BloopAI/vibe-kanban](https://github.com/BloopAI/vibe-kanban) - Get 10X more out of Claude Code, Codex or any coding agent. - [AgentsMesh/AgentsMesh](https://github.com/AgentsMesh/AgentsMesh) - AI agent workforce platform; run hundreds of coding agents across machines. - [chaitanyagiri/munder-difflin](https://github.com/chaitanyagiri/munder-difflin) - Local multi-agent harness driving your Claude Code and Codex subscriptions. - [coleam00/Archon](https://github.com/coleam00/Archon) - Open-source harness builder for AI coding agents. - [mattpocock/sandcastle](https://github.com/mattpocock/sandcastle) - Orchestrate sandboxed coding agents in TypeScript. - [omnigent-ai/omnigent](https://github.com/omnigent-ai/omnigent) - Meta-harness orchestrating Claude Code, Codex, Cursor, and custom agents. - [openai/symphony](https://github.com/openai/symphony) - Turns project work into isolated, autonomous implementation runs. - [Untrivial-ai/agent-orchestrator](https://github.com/Untrivial-ai/agent-orchestrator) - Run and supervise teams of coding agents from planning to merge. - [max-sixty/worktrunk](https://github.com/max-sixty/worktrunk) - Git worktree CLI built for running AI coding agents in parallel. - [mvschwarz/openrig](https://github.com/mvschwarz/openrig) - Persistent teams of Claude Code, Codex and Pi agents with roles and shared context. - [Gaurav-Gosain/tuios](https://github.com/Gaurav-Gosain/tuios) - Terminal window manager that tracks what your agents are doing. - [zeronsh/zeron](https://github.com/zeronsh/zeron) - Native control plane for Claude Code, Codex, Cursor and other coding agents. **Remote control & session monitoring** - [amantus-ai/vibetunnel](https://github.com/amantus-ai/vibetunnel) - Share terminal agent sessions over the web. - [Dimillian/CodexMonitor](https://github.com/Dimillian/CodexMonitor) - macOS menu-bar monitor for Codex CLI sessions. - [kbwo/ccmanager](https://github.com/kbwo/ccmanager) - Session manager for Claude Code with usage tracking. - [omnara-ai/omnara](https://github.com/omnara-ai/omnara) - Remote monitoring and control for coding agents. - [rustykuntz/clideck](https://github.com/rustykuntz/clideck) - Phone-friendly dashboard for CLI coding agents. - [slopus/happy](https://github.com/slopus/happy) - Mobile client for monitoring Claude Code sessions. - [soul-sol/agent-watch](https://github.com/soul-sol/agent-watch) - Stall detection for background Claude Code and Codex jobs. - [pacifio/atlas](https://github.com/pacifio/atlas) - Source control for agents that tracks and queries changes from multiple coding agents. - [tiann/hapi](https://github.com/tiann/hapi) - App for driving Codex, Claude Code and OpenCode sessions from anywhere. - [backnotprop/plannotator](https://github.com/backnotprop/plannotator) - Visually annotate and review coding agent plans and diffs, and share them. - [siteboon/claudecodeui](https://github.com/siteboon/claudecodeui) - Use Claude Code on mobile and web via CloudCLI. - [stefanprodan/cctop](https://github.com/stefanprodan/cctop) - Live top-style monitor for Claude Code sessions. - [tomasz-tomczyk/crit](https://github.com/tomasz-tomczyk/crit) - A feedback loop between you and your agent: review plans and diffs fast. - [ewsun22/codex-manager](https://github.com/ewsun22/codex-manager) - Desktop control center for OpenAI Codex sessions. - [pingdotgg/t3code](https://github.com/pingdotgg/t3code) - Mobile, web and desktop control surface for the coding agents on your machine. - [Louis-CFM/coucou](https://github.com/Louis-CFM/coucou) - Notch companion that watches your coding agents and alerts you. **Account, session & proxy managers** - [farion1231/cc-switch](https://github.com/farion1231/cc-switch) - Desktop switcher for Claude Code, Codex, OpenCode and friends. - [musistudio/claude-code-router](https://github.com/musistudio/claude-code-router) - Route Claude Code requests across models and providers. - [heyhuynhgiabuu/proxypal](https://github.com/heyhuynhgiabuu/proxypal) - Expose your chat subscriptions as local OpenAI-compatible endpoints. - [badrisnarayanan/antigravity-claude-proxy](https://github.com/badrisnarayanan/antigravity-claude-proxy) - Proxy Antigravity-provided Claude/Gemini models to any client. - [starbaser/ccproxy](https://github.com/starbaser/ccproxy) - Hook any Claude Code request, modify responses, route custom models. - [lbjlaq/Antigravity-Manager](https://github.com/lbjlaq/Antigravity-Manager) - Account manager and one-click switcher for Antigravity. **CI & GitHub Actions** - [anthropics/claude-code-action](https://github.com/anthropics/claude-code-action) - Official Claude Code GitHub Action for CI automation. - [github/gh-aw](https://github.com/github/gh-aw) - GitHub Agentic Workflows for running agents in CI. - [google-github-actions/run-gemini-cli](https://github.com/google-github-actions/run-gemini-cli) - GitHub Action running Gemini CLI in workflows. - [openai/codex-action](https://github.com/openai/codex-action) - Official Codex GitHub Action for automated coding tasks. **App builders** - [dyad-sh/dyad](https://github.com/dyad-sh/dyad) - Local desktop AI app builder that iterates on full-stack code. - [onlook-dev/onlook](https://github.com/onlook-dev/onlook) - Open-source visual editor with AI app generation. - [Nutlope/llamacoder](https://github.com/Nutlope/llamacoder) - Open-source Claude Artifacts clone generating apps with Llama. - [stackblitz-labs/bolt.diy](https://github.com/stackblitz-labs/bolt.diy) - Prompt, run, edit, and deploy full-stack web applications using any LLM you want!. - [abi/screenshot-to-code](https://github.com/abi/screenshot-to-code) - Turn a screenshot into clean HTML/Tailwind/React. **Protocols & standards** - [agentsmd/agents.md](https://github.com/agentsmd/agents.md) - Open standard for AGENTS.md agent instructions. - [agentclientprotocol/agent-client-protocol](https://github.com/agentclientprotocol/agent-client-protocol) - Protocol connecting editors to coding agents. ## Skills, Plugins & Context Engineering *What you put in front of the agent matters more than which agent. Skills, CLAUDE.md files, methodology.* **Skill frameworks & methodology** - [obra/superpowers](https://github.com/obra/superpowers) - Agentic skills framework and development methodology (brainstorm → plan → TDD → review). - [addyosmani/agent-skills](https://github.com/addyosmani/agent-skills) - Production-grade engineering skills from Addy Osmani. - [garrytan/gstack](https://github.com/garrytan/gstack) - Garry Tan's opinionated Claude Code toolset. - [affaan-m/ECC](https://github.com/affaan-m/ECC) - Harness performance-optimization system: skills, instincts, evals. - [eyaltoledano/claude-task-master](https://github.com/eyaltoledano/claude-task-master) - AI task-management system that drops into Cursor, Claude Code or Lovable. - [OthmanAdi/planning-with-files](https://github.com/OthmanAdi/planning-with-files) - File-based persistent planning for long-running agent tasks. - [HKUDS/OpenSpace](https://github.com/HKUDS/OpenSpace) - Skill-management layer for agents. - [skainguyen1412/antigravity-superpowers](https://github.com/skainguyen1412/antigravity-superpowers) - Superpowers workflows ported to Antigravity. - [bmad-code-org/BMAD-METHOD](https://github.com/bmad-code-org/BMAD-METHOD) - Breakthrough Method for Agile Ai Driven Development. - [danielmiessler/Fabric](https://github.com/danielmiessler/Fabric) - Fabric is an open-source framework for augmenting humans using AI. It provides a modular system. - [SuperClaude-Org/SuperClaude_Framework](https://github.com/SuperClaude-Org/SuperClaude_Framework) - Framework enhancing Claude Code with commands, personas, and token-efficient modes. - [EveryInc/compound-engineering-plugin](https://github.com/EveryInc/compound-engineering-plugin) - Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more. - [revfactory/harness](https://github.com/revfactory/harness) - Meta-skill that designs agent teams and generates the skills they use. - [tony/claude-code-riper-5](https://github.com/tony/claude-code-riper-5) - RIPER-5 autonomous coding mode for Claude Code. - [imbue-ai/blueprint](https://github.com/imbue-ai/blueprint) - Planning copilot for coding agents. - [NeoLabHQ/context-engineering-kit](https://github.com/NeoLabHQ/context-engineering-kit) - Hand-crafted skills for domain-driven architecture and subagent-driven development. - [automazeio/ccpm](https://github.com/automazeio/ccpm) - Project management skill system using GitHub Issues and worktrees. - [TexasBedouin/vibe-check](https://github.com/TexasBedouin/vibe-check) - Turns a vague idea into a buildable plan, then guides the build. **Autonomous loops (Ralph)** - [ClaytonFarr/ralph-playbook](https://github.com/ClaytonFarr/ralph-playbook) - Comprehensive guide to running autonomous AI coding loops with Ralph. - [frankbria/ralph-claude-code](https://github.com/frankbria/ralph-claude-code) - Autonomous AI development loop for Claude Code with exit detection. - [mikeyobrien/ralph-orchestrator](https://github.com/mikeyobrien/ralph-orchestrator) - Improved Ralph Wiggum implementation for autonomous agent orchestration. - [muratcankoylan/ralph-wiggum-marketer](https://github.com/muratcankoylan/ralph-wiggum-marketer) - Autonomous AI copywriter plugin built on the Ralph methodology. - [snwfdhmp/awesome-ralph](https://github.com/snwfdhmp/awesome-ralph) - Curated resources on the Ralph autonomous-loop coding technique. **Behavior-shaping skills (single-file, high leverage)** - [multica-ai/andrej-karpathy-skills](https://github.com/multica-ai/andrej-karpathy-skills) - A single `CLAUDE.md` distilled from Karpathy's guidance. - [DietrichGebert/ponytail](https://github.com/DietrichGebert/ponytail) - Makes the agent think like the laziest senior dev: YAGNI, stdlib first, shortest diff. - [JuliusBrussee/caveman](https://github.com/JuliusBrussee/caveman) - Cut ~65% of output tokens by making the agent talk terse. - [ayghri/i-have-adhd](https://github.com/ayghri/i-have-adhd) - Stops the agent burying the answer; answer-first output. - [Leonxlnx/taste-skill](https://github.com/Leonxlnx/taste-skill) - Gives your AI good taste; stops boring, generic output. - [conorbronsdon/avoid-ai-writing](https://github.com/conorbronsdon/avoid-ai-writing) - Audits and rewrites content to remove AI writing patterns. - [hardikpandya/stop-slop](https://github.com/hardikpandya/stop-slop) - Removes AI tells from prose before it reaches the reader. - [op7418/Humanizer-zh](https://github.com/op7418/Humanizer-zh) - Removes AI-generated stylistic traces from text (Chinese edition). - [tjboudreaux/cc-thinking-skills](https://github.com/tjboudreaux/cc-thinking-skills) - 28 eval-informed mental models and critical-thinking skills for agents. - [human-avatar/skills-for-humanity](https://github.com/human-avatar/skills-for-humanity) - Structured reasoning methods from history's rigorous thinkers, as skills. - [pbakaus/impeccable](https://github.com/pbakaus/impeccable) - Design language that makes coding agents better at frontend design. - [danyuchn/asd-ste100-skill](https://github.com/danyuchn/asd-ste100-skill) - Simplified Technical English rules as a skill for clearer agent-facing writing. **Official skill collections** - [anthropics/skills](https://github.com/anthropics/skills) - Anthropic's official Agent Skills repo; the reference implementation of the Agent Skills standard. - [vercel-labs/agent-skills](https://github.com/vercel-labs/agent-skills) - Vercel's official collection of agent skills. - [anthropics/knowledge-work-plugins](https://github.com/anthropics/knowledge-work-plugins) - Official plugins for non-coding knowledge work. - [anthropics/claude-plugins-official](https://github.com/anthropics/claude-plugins-official) - Official, Anthropic-managed directory of high-quality Claude Code plugins. - [google/skills](https://github.com/google/skills) - Agent skills for Google products and technologies. - [hashicorp/agent-skills](https://github.com/hashicorp/agent-skills) - Official skills and plugins for HashiCorp products. - [qdrant/skills](https://github.com/qdrant/skills) - Agent skills for Qdrant vector search: scaling, quality, and monitoring. - [anthropics/financial-services](https://github.com/anthropics/financial-services) - Anthropic's reference agents, skills and data connectors for financial services. - [cursor/plugins](https://github.com/cursor/plugins) - Cursor's plugin specification and official plugins. - [openai/plugins](https://github.com/openai/plugins) - OpenAI's official plugin collection. **Security skills** - [agamm/claude-code-owasp](https://github.com/agamm/claude-code-owasp) - OWASP Top 10:2025 and ASVS 5.0 secure-coding skill. - [BehiSecc/VibeSec-Skill](https://github.com/BehiSecc/VibeSec-Skill) - Helps Claude write secure code and prevent common vulnerabilities. - [gadievron/raptor](https://github.com/gadievron/raptor) - Turns Claude Code into an offensive and defensive security agent. - [jthack/ffuf_claude_skill](https://github.com/jthack/ffuf_claude_skill) - Lets Claude drive FFUF for web fuzzing workflows. - [trailofbits/skills](https://github.com/trailofbits/skills) - Trail of Bits skills for security research, vulnerability detection, and audits. - [anthropics/claude-code-security-review](https://github.com/anthropics/claude-code-security-review) - AI-powered security review GitHub Action that analyzes code changes for vulnerabilities. - [NVIDIA/SkillSpector](https://github.com/NVIDIA/SkillSpector) - Security scanner for AI agent skills: detects vulnerabilities and prompt injection. - [cso1z/claude-ip-guard](https://github.com/cso1z/claude-ip-guard) - Hook plugin for IP-based access control and account protection. - [cloudflare/security-audit-skill](https://github.com/cloudflare/security-audit-skill) - Coding-agent skill for multi-phase security audits with verified findings. - [SnailSploit/Claude-Red](https://github.com/SnailSploit/Claude-Red) - Library of offensive-security skills for Claude. **Domain & workflow skills** - [K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) - Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by. - [AlmogBaku/debug-skill](https://github.com/AlmogBaku/debug-skill) - Gives your agent a real debugger: breakpoints, stepping, inspection. - [antonbabenko/terraform-skill](https://github.com/antonbabenko/terraform-skill) - Terraform and OpenTofu skill: modules, CI/CD, and production patterns. - [bradautomates/claude-video](https://github.com/bradautomates/claude-video) - Lets Claude watch any video: downloads, extracts frames, transcribes. - [coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills) - Marketing skills: CRO, copywriting, SEO, analytics, and growth. - [gooseworks-ai/goose-skills](https://github.com/gooseworks-ai/goose-skills) - Growth and GTM skills plus data APIs for Claude Code, Codex, and Cursor. - [guia-matthieu/clawfu-skills](https://github.com/guia-matthieu/clawfu-skills) - 172 expert marketing skills for AI agents, served via the ClawFu MCP server. - [Jeffallan/claude-skills](https://github.com/Jeffallan/claude-skills) - 67 specialized skills turning Claude Code into an expert full-stack pair programmer. - [jnMetaCode/agency-agents-zh](https://github.com/jnMetaCode/agency-agents-zh) - 277 plug-and-play AI expert roles for 20+ tools across 20 departments. - [Li-Evan/Bloom](https://github.com/Li-Evan/Bloom) - Socratic AI tutor skill grounded in Bloom's 2-sigma research. - [mhattingpete/claude-skills-marketplace](https://github.com/mhattingpete/claude-skills-marketplace) - Skills for software engineering: Git automation, testing, and code review. - [muratcankoylan/Agent-Skills-for-Context-Engineering](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering) - Collection of skills for context engineering and multi-agent architectures. - [mvanhorn/last30days-skill](https://github.com/mvanhorn/last30days-skill) - Researches any topic across Reddit, X, YouTube, and HN from the last 30 days. - [Orchestra-Research/AI-Research-SKILLs](https://github.com/Orchestra-Research/AI-Research-SKILLs) - Open-source library of AI research and engineering skills for any model. - [pasky/chrome-cdp-skill](https://github.com/pasky/chrome-cdp-skill) - Hooks your agent into your live Chrome session over CDP. - [rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) - Stack-agnostic skills covering the website lifecycle: brand, SEO, dev, ops, growth. - [sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) - 24 cross-platform skills for Claude Code, Cursor, Codex, and Gemini CLI. - [SerhiiKorniienko/bullshit-detector](https://github.com/SerhiiKorniienko/bullshit-detector) - Fact-checks the internet claim-by-claim with a 0-10 BS score. - [skills-directory/skill-codex](https://github.com/skills-directory/skill-codex) - Skill that delegates prompts to Codex from Claude Code. - [wrsmith108/linear-claude-skill](https://github.com/wrsmith108/linear-claude-skill) - Skill for managing Linear issues, projects, and teams via MCP and SDK. - [zarazhangrui/codebase-to-course](https://github.com/zarazhangrui/codebase-to-course) - Skill turning any codebase into an interactive HTML course. - [zxkane/aws-skills](https://github.com/zxkane/aws-skills) - Plugins and skills for AWS development: IaC, serverless, cost ops, AgentCore. - [kepano/obsidian-skills](https://github.com/kepano/obsidian-skills) - Agent skills that teach agents to use Obsidian CLI and open file formats. - [phuryn/pm-skills](https://github.com/phuryn/pm-skills) - Marketplace of 100+ product management skills, commands and plugins for agents. - [czlonkowski/n8n-skills](https://github.com/czlonkowski/n8n-skills) - Claude Code skill set for building reliable n8n workflows. - [Weizhena/Deep-Research-skills](https://github.com/Weizhena/Deep-Research-skills) - Structured deep research skill for Claude Code, OpenCode and Codex. - [Donchitos/Claude-Code-Game-Studios](https://github.com/Donchitos/Claude-Code-Game-Studios) - Turns Claude Code into a game dev studio with 49 agents and 72 skills. - [VoltAgent/awesome-claude-code-subagents](https://github.com/VoltAgent/awesome-claude-code-subagents) - Collection of 100+ specialized Claude Code subagents. - [mattpocock/skills](https://github.com/mattpocock/skills) - Matt Pocock's engineering skills from his own agents directory. - [msitarzewski/agency-agents](https://github.com/msitarzewski/agency-agents) - Specialized agent personas covering engineering, design, marketing and more. - [nextlevelbuilder/ui-ux-pro-max-skill](https://github.com/nextlevelbuilder/ui-ux-pro-max-skill) - Agent skill with design intelligence for building UI/UX across platforms. - [VoltAgent/awesome-design-md](https://github.com/VoltAgent/awesome-design-md) - DESIGN.md files from popular design systems for coding agents to follow. - [tt-a1i/archify](https://github.com/tt-a1i/archify) - Agent skill that turns ideas, plans or codebases into interactive diagrams. - [earthtojake/text-to-cad](https://github.com/earthtojake/text-to-cad) - Gives coding agents CAD modeling abilities. - [neilsonnn/image-blaster](https://github.com/neilsonnn/image-blaster) - Image-to-world skill set for Claude. - [humanlayer/skills](https://github.com/humanlayer/skills) - HumanLayer's Claude Code skills for diagrams, visual PRs and more. - [WorldFlowAI/everything-claude-code](https://github.com/WorldFlowAI/everything-claude-code) - Claude Code toolkit of agents, commands, skills, rules and hooks. - [rehan-remade/universal-modder](https://github.com/rehan-remade/universal-modder) - Skills and tools that let Claude Code mod almost any PC game. **Hooks, status lines & usage tracking** - [ccusage/ccusage](https://github.com/ccusage/ccusage) - Track Claude Code usage and token spend from the terminal. - [disler/claude-code-hooks-multi-agent-observability](https://github.com/disler/claude-code-hooks-multi-agent-observability) - Real-time monitoring of agents through hook events. - [disler/claude-code-hooks-mastery](https://github.com/disler/claude-code-hooks-mastery) - Master Claude Code hooks with patterns and examples. - [egorfedorov/claude-context-optimizer](https://github.com/egorfedorov/claude-context-optimizer) - Tracks token usage and wasted context, saving 30-50% on API costs. - [karanb192/claude-code-hooks](https://github.com/karanb192/claude-code-hooks) - Hooks plus an installable marketplace: safety, cost, observability. - [kenryu42/cc-safety-net](https://github.com/kenryu42/cc-safety-net) - Pre-execution guard blocking destructive git and filesystem commands. - [leeguooooo/claude-code-usage-bar](https://github.com/leeguooooo/claude-code-usage-bar) - Status line with 5h/7d usage, reset countdowns, model, context window. - [mag123c/toktrack](https://github.com/mag123c/toktrack) - Ultra-fast token and cost tracker for LLM usage. - [luoyuctl/agenttrace](https://github.com/luoyuctl/agenttrace) - Local-first TUI auditing agent sessions: cost, latency, failures. - [Owloops/claude-powerline](https://github.com/Owloops/claude-powerline) - Vim-style powerline status line for Claude Code. - [shanraisshan/claude-code-hooks](https://github.com/shanraisshan/claude-code-hooks) - Hooks that announce agent activity with voice feedback. **Context compression & management** - [headroomlabs-ai/headroom](https://github.com/headroomlabs-ai/headroom) - Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens. - [jia-gao/leanctx](https://github.com/jia-gao/leanctx) - Drop-in prompt compression cutting token bills 40-60%. - [microsoft/LLMLingua](https://github.com/microsoft/LLMLingua) - Prompt compression up to 20x with minimal information loss. - [parcadei/Continuous-Claude-v3](https://github.com/parcadei/Continuous-Claude-v3) - Context management via hooks: ledgers, handoffs, no context pollution. - [yvgude/lean-ctx](https://github.com/yvgude/lean-ctx) - Context intelligence tooling for AI systems. - [mksglu/context-mode](https://github.com/mksglu/context-mode) - Context window optimizer that sandboxes tool output for AI coding agents. - [ZongqianLi/500xCompressor](https://github.com/ZongqianLi/500xCompressor) - [ACL 2025] 500xCompressor: generalized prompt compression for LLMs. - [marv1nnnnn/llm-min.txt](https://github.com/marv1nnnnn/llm-min.txt) - Min.js-style compression of tech docs for LLM context. - [wilpel/caveman-compression](https://github.com/wilpel/caveman-compression) - Caveman Compression: semantic compression for LLM context. - [ojuschugh1/sqz](https://github.com/ojuschugh1/sqz) - Context compression for AI coding agents, compressing tool output. - [ooples/token-optimizer-mcp](https://github.com/ooples/token-optimizer-mcp) - Measure token savings per coding agent and optimize context. - [sci-m-wang/OpenCE](https://github.com/sci-m-wang/OpenCE) - OpenCE: community toolkit to implement and evaluate context engineering. - [Context-Engine-AI/Context-Engine](https://github.com/Context-Engine-AI/Context-Engine) - Agentic context compression suite delivered over MCP. - [Ahren09/SARA](https://github.com/Ahren09/SARA) - [ACL 2026] SARA: selective and adaptive context compression. - [microsoft/acon](https://github.com/microsoft/acon) - ACON: optimizing context compression for long-context LLMs. - [snchimata/tokenfold](https://github.com/snchimata/tokenfold) - Private, provider-neutral, reversible context compression for LLMs. - [yzhangchuck/Sentinel](https://github.com/yzhangchuck/Sentinel) - Sentinel: lightweight, interpretable context compression for LLMs. - [Supercompress/Supercompress](https://github.com/Supercompress/Supercompress) - Query-aware context compression for LLMs, cutting about 65% of tokens. - [dshakes/distil](https://github.com/dshakes/distil) - Compression with a quality contract: cache-aware and causally pruned. - [Adityapal67/context-graph-compressor](https://github.com/Adityapal67/context-graph-compressor) - Convert long AI conversations into portable conversation state graphs. **Prompt engineering** - [KhazP/vibe-coding-prompt-template](https://github.com/KhazP/vibe-coding-prompt-template) - Templates for PRDs, tech designs and MVP workflows. - [f/prompts.chat](https://github.com/f/prompts.chat) - f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free. - [dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) - Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. - [anthropics/prompt-eng-interactive-tutorial](https://github.com/anthropics/prompt-eng-interactive-tutorial) - Anthropic's interactive prompt engineering tutorial. - [langgptai/LangGPT](https://github.com/langgptai/LangGPT) - Structured prompt framework for becoming a prompt expert. - [NirDiamant/Prompt_Engineering](https://github.com/NirDiamant/Prompt_Engineering) - 22 prompt engineering techniques with hands-on notebooks. - [promptslab/Promptify](https://github.com/promptslab/Promptify) - Prompt engineering and versioning toolkit for structured output. - [promptslab/Awesome-Prompt-Engineering](https://github.com/promptslab/Awesome-Prompt-Engineering) - Hand-curated prompt engineering resources and guides. - [ianarawjo/ChainForge](https://github.com/ianarawjo/ChainForge) - Visual environment for battle-testing prompts against LLMs. - [gepa-ai/gepa](https://github.com/gepa-ai/gepa) - AI-powered reflective optimization for prompts and code. **System prompt collections** - [x1xhlol/system-prompts-and-models-of-ai-tools](https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools) - Leaked system prompts of Cursor, Devin, Claude Code and others; study how the pros prompt. - [asgeirtj/system_prompts_leaks](https://github.com/asgeirtj/system_prompts_leaks) - Extracted system prompts from Anthropic, OpenAI and Google products. - [Piebald-AI/claude-code-system-prompts](https://github.com/Piebald-AI/claude-code-system-prompts) - Complete collection of Claude Code system prompts and tool definitions. **Guides & best practices** - [coleam00/context-engineering-intro](https://github.com/coleam00/context-engineering-intro) - Practical introduction to context engineering. - [shanraisshan/claude-code-best-practice](https://github.com/shanraisshan/claude-code-best-practice) - From vibe coding to agentic engineering. - [danielrosehill/Claude-Code-Projects-Index](https://github.com/danielrosehill/Claude-Code-Projects-Index) - Index of starter templates and projects for Claude Code. - [ithiria894/awesome-claude-code-workflows](https://github.com/ithiria894/awesome-claude-code-workflows) - Workflow recipes combining hooks, MCP, skills, agents, and CLAUDE.md. - [jasontang-ai/Context-Engineering](https://github.com/jasontang-ai/Context-Engineering) - Guide to filling the context window with just the right information. - [kousen/claude-code-training](https://github.com/kousen/claude-code-training) - Slides and demos for a Claude Code training course. - [loulanyue/awesome-claude-notes](https://github.com/loulanyue/awesome-claude-notes) - Community notes: agents, commands, skills, hooks, and workflows. - [OneRedOak/claude-code-workflows](https://github.com/OneRedOak/claude-code-workflows) - Battle-tested workflows from day-one Claude Code use. - [wesammustafa/Claude-Code-Everything-You-Need-to-Know](https://github.com/wesammustafa/Claude-Code-Everything-You-Need-to-Know) - Practical guide with mental models and copy-paste examples. - [ykdojo/claude-code-tips](https://github.com/ykdojo/claude-code-tips) - 45+ tips for getting the most out of Claude Code. - [VILA-Lab/Dive-into-Claude-Code](https://github.com/VILA-Lab/Dive-into-Claude-Code) - Systematic analysis of Claude Code for designing agent systems. - [zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) - Setup, commands, workflows, agents, skills, and tips from beginner to power user. **Plugin & skill directories** - [hesreallyhim/awesome-claude-code](https://github.com/hesreallyhim/awesome-claude-code) - The canonical Claude Code resource list. - [ComposioHQ/awesome-claude-skills](https://github.com/ComposioHQ/awesome-claude-skills) - Curated Claude Skills. - [alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) - 380+ skills, agents and plugins. - [heilcheng/awesome-agent-skills](https://github.com/heilcheng/awesome-agent-skills) - Tutorials, guides and skill directories. - [quemsah/awesome-claude-plugins](https://github.com/quemsah/awesome-claude-plugins) - Plugin adoption metrics across GitHub. - [awesome-opencode/awesome-opencode](https://github.com/awesome-opencode/awesome-opencode) - Plugins, themes and agents for OpenCode. - [0xNyk/awesome-hermes-agent](https://github.com/0xNyk/awesome-hermes-agent) - Skills, plugins and memory providers for Hermes. - [ai-boost/awesome-harness-engineering](https://github.com/ai-boost/awesome-harness-engineering) - Tools, patterns and evals for agent harnesses. - [sickn33/agentic-awesome-skills](https://github.com/sickn33/agentic-awesome-skills) - Local, agent-first control plane for skill catalogs. - [jeremylongshore/tons-of-skills-marketplace](https://github.com/jeremylongshore/tons-of-skills-marketplace) - Model-agnostic skills marketplace with a canonical layout. - [wshobson/agents](https://github.com/wshobson/agents) - Multi-harness plugin and skill marketplace for Claude Code, Codex, Cursor, OpenCode, and Copilot. - [PatrickJS/awesome-cursorrules](https://github.com/PatrickJS/awesome-cursorrules) - The definitive collection of .cursorrules for every stack. - [rohitg00/awesome-claude-code-toolkit](https://github.com/rohitg00/awesome-claude-code-toolkit) - 135 agents, 35 skills, 176+ plugins, and 20 hooks for Claude Code. - [VoltAgent/awesome-openclaw-skills](https://github.com/VoltAgent/awesome-openclaw-skills) - 5,400+ OpenClaw skills, filtered and categorized. - [standardbeagle/standardbeagle-tools](https://github.com/standardbeagle/standardbeagle-tools) - Claude Code marketplace plugins: browser, code intelligence, tools. **Spec-driven development** - [Fission-AI/OpenSpec](https://github.com/Fission-AI/OpenSpec) - Spec-driven development (SDD) for AI coding assistants. - [github/spec-kit](https://github.com/github/spec-kit) - Toolkit to help you get started with Spec-Driven Development. - [buildermethods/agent-os](https://github.com/buildermethods/agent-os) - Spec-driven development system with codebase standards. **Codebase context & packing** - [yamadashy/repomix](https://github.com/yamadashy/repomix) - Packs an entire repository into one AI-friendly file for LLM context. - [coderamp-labs/gitingest](https://github.com/coderamp-labs/gitingest) - Turn any GitHub URL into a prompt-friendly codebase extract. - [mohsen1/yek](https://github.com/mohsen1/yek) - Fast Rust tool serializing repo files for LLM consumption. - [mufeedvh/code2prompt](https://github.com/mufeedvh/code2prompt) - CLI converting a codebase into one prompt with tree, templates, token count. - [repoprompt/repoprompt-ce](https://github.com/repoprompt/repoprompt-ce) - Native macOS context-engineering app for AI coding agents. - [zilliztech/claude-context](https://github.com/zilliztech/claude-context) - Code search MCP that makes an entire codebase context for coding agents. - [oraios/serena](https://github.com/oraios/serena) - Coding agent toolkit with semantic code understanding. - [cyberchitta/llm-context.py](https://github.com/cyberchitta/llm-context.py) - Share code with LLMs via MCP or clipboard, with rule-based customization. **Skill tooling & rules sync** - [activeloopai/hivemind](https://github.com/activeloopai/hivemind) - Turns coding-agent session traces into reusable skills across agents. - [agent-sh/agnix](https://github.com/agent-sh/agnix) - Linter for agent configs: validates SKILL.md, CLAUDE.md, hooks, and MCP definitions. - [hqhq1025/skill-optimizer](https://github.com/hqhq1025/skill-optimizer) - Lifecycle toolkit: mine workflows, audit skills, and personalize from session data. - [sentient-agi/EvoSkill](https://github.com/sentient-agi/EvoSkill) - Automatically discovers and synthesizes reusable skills from failed trajectories. - [tigerless-labs/autoharness](https://github.com/tigerless-labs/autoharness) - Self-learning skill layer for Claude Code that distills sessions into skills. - [iflytek/skillhub](https://github.com/iflytek/skillhub) - Self-hosted agent skill registry for publishing and versioning skill packages. - [greyhaven-ai/autocontext](https://github.com/greyhaven-ai/autocontext) - Recursive self-improving harness for agent success. - [dyoshikawa/rulesync](https://github.com/dyoshikawa/rulesync) - Utility CLI syncing agent rules across coding tools. - [Gentleman-Programming/gentle-ai](https://github.com/Gentleman-Programming/gentle-ai) - Configures the coding agents you already use, including Claude Code and Cursor. - [Piebald-AI/tweakcc](https://github.com/Piebald-AI/tweakcc) - Customize Claude Code's system prompts, toolsets, and themes. - [pchalasani/claude-code-tools](https://github.com/pchalasani/claude-code-tools) - Productivity tools for Claude Code, Codex-CLI, and similar agents. - [xingkongliang/skills-manager](https://github.com/xingkongliang/skills-manager) - Desktop app to manage and sync agent skills across 50+ coding tools. ## Agent Frameworks & Orchestration *Build your own agents and multi-agent systems.* **Core frameworks** - [langchain-ai/langgraph](https://github.com/langchain-ai/langgraph) - Graph-based stateful agent orchestration; the default for production Python agents. - [langchain-ai/langchain](https://github.com/langchain-ai/langchain) - The original LLM application framework and integration ecosystem. - [pydantic/pydantic-ai](https://github.com/pydantic/pydantic-ai) - Type-safe agent framework from the Pydantic team; great for structured outputs. - [openai/openai-agents-python](https://github.com/openai/openai-agents-python) - OpenAI's lightweight multi-agent SDK with handoffs and guardrails. - [google/adk-python](https://github.com/google/adk-python) - Google's Agent Development Kit for Gemini and beyond. - [anthropics/anthropic-sdk-python](https://github.com/anthropics/anthropic-sdk-python) - Official Claude SDK; tool use, streaming and the Agent SDK. - [crewAIInc/crewAI](https://github.com/crewAIInc/crewAI) - Role-playing multi-agent crews with tasks and processes. - [microsoft/autogen](https://github.com/microsoft/autogen) - Conversational multi-agent framework from Microsoft Research. - [huggingface/smolagents](https://github.com/huggingface/smolagents) - Minimal agents that write code as actions. - [run-llama/llama_index](https://github.com/run-llama/llama_index) - Data framework for connecting LLMs to your data; strong agentic RAG. - [deepset-ai/haystack](https://github.com/deepset-ai/haystack) - Production-oriented pipelines for RAG and agents. - [stanfordnlp/dspy](https://github.com/stanfordnlp/dspy) - Program, don't prompt: optimize prompts and weights declaratively. - [agno-agi/agno](https://github.com/agno-agi/agno) - Build, run, and manage agent platforms. - [langchain-ai/deepagents](https://github.com/langchain-ai/deepagents) - The batteries-included agent harness. - [microsoft/agent-framework](https://github.com/microsoft/agent-framework) - Microsoft's framework for building, orchestrating and deploying agents. - [agentscope-ai/agentscope](https://github.com/agentscope-ai/agentscope) - Build agents you can see, understand and trust. - [microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) - Microsoft's SDK for building LLM agents into .NET, Python, and Java apps. - [strands-agents/harness-sdk](https://github.com/strands-agents/harness-sdk) - AWS's official open-source agent SDK for Python and TypeScript, any model or cloud. - [ag2ai/ag2](https://github.com/ag2ai/ag2) - AG2 (formerly AutoGen): the open-source AgentOS for multi-agent applications. - [anthropics/claude-agent-sdk-python](https://github.com/anthropics/claude-agent-sdk-python) - Official Python SDK for building Claude-powered agents. - [i-am-bee/beeai-framework](https://github.com/i-am-bee/beeai-framework) - Build production-ready AI agents in Python and TypeScript. - [Upsonic/Upsonic](https://github.com/Upsonic/Upsonic) - Build autonomous AI agents in Python. - [Eigenwise/atomic-agents](https://github.com/Eigenwise/atomic-agents) - Build AI agents atomically with modular, composable components. - [Forethought-Technologies/AutoChain](https://github.com/Forethought-Technologies/AutoChain) - Build lightweight, extensible, and testable LLM agents. - [jackmpcollins/magentic](https://github.com/jackmpcollins/magentic) - Seamlessly integrate LLMs as plain Python functions. - [Mirascope/mirascope](https://github.com/Mirascope/mirascope) - The LLM anti-framework: minimal abstractions over provider APIs. - [langroid/langroid](https://github.com/langroid/langroid) - Harness LLMs with multi-agent programming in Python. - [SylphAI-Inc/AdalFlow](https://github.com/SylphAI-Inc/AdalFlow) - Library to build and auto-optimize LLM applications. - [The-Pocket/PocketFlow](https://github.com/The-Pocket/PocketFlow) - 100-line LLM framework where agents can build agents. - [TencentCloudADP/youtu-agent](https://github.com/TencentCloudADP/youtu-agent) - Simple agent framework built to work well with open-source models. - [evalstate/fast-agent](https://github.com/evalstate/fast-agent) - Build and evaluate agents with MCP, skills, ACP and A2A support. - [QwenLM/Qwen-Agent](https://github.com/QwenLM/Qwen-Agent) - Agent framework on Qwen with function calling, MCP, and code execution. - [microsoft/Agents-for-python](https://github.com/microsoft/Agents-for-python) - Microsoft 365 Agents SDK for Python. - [andrewyng/openworker](https://github.com/andrewyng/openworker) - Andrew Ng's open agentic-worker framework. - [lastmile-ai/mcp-agent](https://github.com/lastmile-ai/mcp-agent) - Build effective agents with Model Context Protocol and simple workflows. - [emcie-co/parlant](https://github.com/emcie-co/parlant) - Interaction control harness for building reliable customer-facing agents. - [RasaHQ/rasa](https://github.com/RasaHQ/rasa) - Open-source machine learning framework for text and voice assistants. - [aurelio-labs/semantic-router](https://github.com/aurelio-labs/semantic-router) - Superfast semantic decision-making for routing between agents and tools. - [humanlayer/humanlayer](https://github.com/humanlayer/humanlayer) - Human-in-the-loop layer so coding agents solve hard problems safely. - [griptape-ai/griptape](https://github.com/griptape-ai/griptape) - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory. - [PrefectHQ/marvin](https://github.com/PrefectHQ/marvin) - Ambient intelligence library for agentic data workflows. - [modelscope/ms-agent](https://github.com/modelscope/ms-agent) - MS-Agent: a lightweight framework to empower agentic execution of complex tasks. **TypeScript & JavaScript frameworks** - [mastra-ai/mastra](https://github.com/mastra-ai/mastra) - Mastra is the modern TypeScript framework for AI-powered applications and agents. - [genkit-ai/genkit](https://github.com/genkit-ai/genkit) - Google's open-source framework for agentic apps in JS, Go, Python, and Dart. - [elizaOS/eliza](https://github.com/elizaOS/eliza) - TypeScript framework for autonomous agents across chat, social, and on-chain integrations. - [anthropics/anthropic-sdk-typescript](https://github.com/anthropics/anthropic-sdk-typescript) - Official TypeScript SDK for Anthropic APIs and agent tooling. - [anthropics/claude-agent-sdk-typescript](https://github.com/anthropics/claude-agent-sdk-typescript) - Official TypeScript SDK for building Claude-powered agents. - [google/adk-js](https://github.com/google/adk-js) - Google's open-source, code-first TypeScript toolkit for building agents. - [inngest/agent-kit](https://github.com/inngest/agent-kit) - Build multi-agent networks in TypeScript with deterministic routing. - [kaiban-ai/KaibanJS](https://github.com/kaiban-ai/KaibanJS) - JavaScript-native framework for building multi-agent teams. - [langchain-ai/langchainjs](https://github.com/langchain-ai/langchainjs) - The agent engineering platform for JavaScript and TypeScript. - [openai/openai-agents-js](https://github.com/openai/openai-agents-js) - Lightweight framework for multi-agent workflows and voice agents. - [VoltAgent/voltagent](https://github.com/VoltAgent/voltagent) - AI agent engineering platform on open-source TypeScript. - [vercel/eve](https://github.com/vercel/eve) - The open framework for building agents. - [withastro/flue](https://github.com/withastro/flue) - The sandbox agent framework. - [open-multi-agent/open-multi-agent](https://github.com/open-multi-agent/open-multi-agent) - Self-hosted TypeScript agent runtime with durable approvals and run records. - [cloudflare/agents](https://github.com/cloudflare/agents) - Build and deploy AI agents on Cloudflare's edge network. - [daydreamsai/daydreams](https://github.com/daydreamsai/daydreams) - TypeScript toolkit for building commerce-focused AI agents. - [bradygaster/squad](https://github.com/bradygaster/squad) - AI agent teams for any project, in TypeScript. **Go, Java, Rust, Ruby & other languages** - [0xPlaygrounds/rig](https://github.com/0xPlaygrounds/rig) - Modular Rust library for building scalable LLM-powered applications. - [agenticenv/agent-sdk-go](https://github.com/agenticenv/agent-sdk-go) - Durable execution framework for AI agents in Go. - [agentscope-ai/agentscope-java](https://github.com/agentscope-ai/agentscope-java) - Build distributed, production-grade, long-running agents in Java. - [aixgo-dev/aixgo](https://github.com/aixgo-dev/aixgo) - AI-native agent framework for Go. - [BoxcarsAI/boxcars](https://github.com/BoxcarsAI/boxcars) - Composable Ruby framework for building applications with LLMs. - [cloudwego/eino](https://github.com/cloudwego/eino) - ByteDance's Go framework for LLM/AI application development. - [embabel/embabel-agent](https://github.com/embabel/embabel-agent) - JVM agent framework for predictable, enterprise-grade agents. - [geminik23/ai-agents](https://github.com/geminik23/ai-agents) - Declarative Rust agent framework: one YAML defines any agent. - [google/adk-go](https://github.com/google/adk-go) - Google's open-source, code-first Go toolkit for building agents. - [google/adk-java](https://github.com/google/adk-java) - Google's open-source, code-first Java toolkit for building agents. - [JetBrains/koog](https://github.com/JetBrains/koog) - JVM framework for predictable, fault-tolerant, enterprise agents. - [langchain4j/langchain4j](https://github.com/langchain4j/langchain4j) - Idiomatic Java library for building LLM applications. - [LLPhant/LLPhant](https://github.com/LLPhant/LLPhant) - Comprehensive PHP generative AI framework with agent support. - [patterns-ai-core/langchainrb](https://github.com/patterns-ai-core/langchainrb) - Build LLM-powered applications in Ruby. - [prism-php/prism](https://github.com/prism-php/prism) - Unified interface for working with LLMs in Laravel. - [rhgs/crewai-go](https://github.com/rhgs/crewai-go) - Idiomatic Go port of CrewAI for collaborative autonomous agents. - [Shopify/roast](https://github.com/Shopify/roast) - Structured AI workflows made easy in Ruby. - [spring-projects/spring-ai](https://github.com/spring-projects/spring-ai) - Application framework for AI engineering on Spring. - [tmc/langchaingo](https://github.com/tmc/langchaingo) - LangChain for Go: the easiest way to write LLM programs in Go. - [crmne/ruby_llm](https://github.com/crmne/ruby_llm) - Ruby-native AI framework for chat, agents, tools and media through one API. - [agentjido/jido](https://github.com/agentjido/jido) - Autonomous, distributed agent framework for Elixir. - [trpc-group/trpc-agent-go](https://github.com/trpc-group/trpc-agent-go) - Go framework for production agents with graph workflows, tools and memory. - [alibaba/spring-ai-alibaba](https://github.com/alibaba/spring-ai-alibaba) - Agentic AI framework for Java developers. - [11fsociety/encom](https://github.com/11fsociety/encom) - Open-source AI agent framework; single-binary Rust daemon with TypeScript skills. - [thClaws/thClaws](https://github.com/thClaws/thClaws) - Open-source AI agent harness in native Rust: GUI, CLI, and headless. **Multi-agent systems** - [bytedance/deer-flow](https://github.com/bytedance/deer-flow) - An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the. - [OpenBMB/ChatDev](https://github.com/OpenBMB/ChatDev) - ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration. - [FoundationAgents/MetaGPT](https://github.com/FoundationAgents/MetaGPT) - The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming. - [2FastLabs/agent-squad](https://github.com/2FastLabs/agent-squad) - Flexible framework for managing multiple AI agents and complex conversations. - [camel-ai/camel](https://github.com/camel-ai/camel) - Pioneering multi-agent framework for role-playing autonomous agents. - [camel-ai/owl](https://github.com/camel-ai/owl) - Optimized workforce learning for general multi-agent assistance. - [FoundationAgents/OpenManus](https://github.com/FoundationAgents/OpenManus) - Open-source generalist multi-agent framework. - [HKUDS/ClawTeam](https://github.com/HKUDS/ClawTeam) - Agent swarm intelligence with one-command full automation. - [kyegomez/swarms](https://github.com/kyegomez/swarms) - Enterprise-grade multi-agent orchestration framework. - [openai/swarm](https://github.com/openai/swarm) - Educational framework for ergonomic, lightweight multi-agent orchestration. - [VRSEN/agency-swarm](https://github.com/VRSEN/agency-swarm) - Reliable multi-agent orchestration framework. - [OpenBMB/IoA](https://github.com/OpenBMB/IoA) - Open framework for collaborative AI agents across organizations. - [openagents-org/openagents](https://github.com/openagents-org/openagents) - The collaboration OS for AI agents. - [multica-ai/multica](https://github.com/multica-ai/multica) - Make humans and AI agents work as one team; open-source and self-hostable. - [MervinPraison/PraisonAI](https://github.com/MervinPraison/PraisonAI) - Multi-agent framework for building always-on AI workforces. - [yyyy231209/ai-company-framework](https://github.com/yyyy231209/ai-company-framework) - Open-source multi-agent orchestration for running an AI company. - [Zerone-Laboratories/RIGEL](https://github.com/Zerone-Laboratories/RIGEL) - Multi-agentic AI assistant and builder. - [NeuroLift-Technologies/nlt-otoi](https://github.com/NeuroLift-Technologies/nlt-otoi) - Multi-agent orchestration with user-defined terms of interaction. - [sipyourdrink-ltd/bernstein](https://github.com/sipyourdrink-ltd/bernstein) - Declarative governance and orchestration framework for AI agents. - [GammaLabTechnologies/harmonist](https://github.com/GammaLabTechnologies/harmonist) - Portable agent orchestration with mechanical protocol enforcement. - [block/buzz](https://github.com/block/buzz) - Hive-mind communication platform for coordinating agent swarms. - [aden-hive/hive](https://github.com/aden-hive/hive) - Multi-agent harness for production AI workloads. - [ruvnet/ruflo](https://github.com/ruvnet/ruflo) - Agent harness for deploying multi-player swarms and autonomous workflows. - [cft0808/edict](https://github.com/cft0808/edict) - OpenClaw multi-agent orchestration with nine specialized agents and dashboard. - [CelestoAI/agentor](https://github.com/CelestoAI/agentor) - Open-source Claude managed-agents platform for building agent teams. - [compozy/compozy](https://github.com/compozy/compozy) - Operating system for AI agents that plugs into your existing agent CLIs. - [GoogleCloudPlatform/scion](https://github.com/GoogleCloudPlatform/scion) - Open orchestration platform for teams of AI agents and their people. - [Runfusion/Fusion](https://github.com/Runfusion/Fusion) - Software factory: multi-node agents building software around the clock. - [phodal/routa](https://github.com/phodal/routa) - Workspace-first multi-agent coordination with shared specs and Kanban. - [hfadhlullah/kaizen](https://github.com/hfadhlullah/kaizen) - Agents show the plan first, then a second agent reviews the work. - [paperclipai/paperclip](https://github.com/paperclipai/paperclip) - The open-source app everyone uses to manage agents at work. - [zhayujie/CowAgent](https://github.com/zhayujie/CowAgent) - Open-source super AI assistant and self-evolving agent harness. - [openakita/openakita](https://github.com/openakita/openakita) - Open-source AI assistant framework with skills and agent architecture. - [TokenRhythm/opensquilla](https://github.com/TokenRhythm/opensquilla) - Token-efficient AI agent with higher intelligence density per budget. **Visual & low-code builders** - [langgenius/dify](https://github.com/langgenius/dify) - Visual builder for agentic workflows and RAG pipelines with a rich tool ecosystem. - [langflow-ai/langflow](https://github.com/langflow-ai/langflow) - Drag-and-drop builder for LangChain flows and agents. - [inkeep/agents](https://github.com/inkeep/agents) - Build agents in a visual builder or TypeScript SDK with two-way sync. - [botpress/botpress](https://github.com/botpress/botpress) - Open-source hub to build and deploy GPT/LLM agents. - [dust-tt/dust](https://github.com/dust-tt/dust) - Custom AI agent platform to speed up knowledge work. - [i-am-bee/agentstack](https://github.com/i-am-bee/agentstack) - Deploy and share agents on open infrastructure, free from vendor lock-in. - [paradigmxyz/centaur](https://github.com/paradigmxyz/centaur) - Frontier agentic infrastructure you own; open-source agent cloud. **Agent protocols & interoperability** - [a2aproject/a2a-js](https://github.com/a2aproject/a2a-js) - Official JavaScript SDK for the Agent2Agent (A2A) protocol. - [a2aproject/a2a-python](https://github.com/a2aproject/a2a-python) - Official Python SDK for the Agent2Agent (A2A) protocol. - [a2aproject/a2a-go](https://github.com/a2aproject/a2a-go) - Official Go SDK for the Agent2Agent (A2A) interoperability protocol. - [agent-network-protocol/AgentNetworkProtocol](https://github.com/agent-network-protocol/AgentNetworkProtocol) - Open protocol for agent communication, discovery, and identity. - [agntcy/dir](https://github.com/agntcy/dir) - Distributed announce and discovery service for multi-agent systems. - [agntcy/oasf](https://github.com/agntcy/oasf) - Open Agentic Schema Framework for interoperable agent definitions. - [Coral-Protocol/coral-server](https://github.com/Coral-Protocol/coral-server) - CoralOS: registry, runtime, and payments between your agents and production. - [fetchai/uAgents](https://github.com/fetchai/uAgents) - Fast, lightweight framework for decentralized autonomous agents. - [google-agentic-commerce/AP2](https://github.com/google-agentic-commerce/AP2) - Google's open protocol for secure, interoperable agent payments. - [projnanda/adapter](https://github.com/projnanda/adapter) - SDK for building agents on MIT's NANDA Internet-of-Agents network. - [valory-xyz/open-autonomy](https://github.com/valory-xyz/open-autonomy) - Framework for creating autonomous agent services. - [a2aproject/A2A](https://github.com/a2aproject/A2A) - Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications. **Durable execution & background agents** - [temporalio/temporal](https://github.com/temporalio/temporal) - Durable workflow engine; the right way to run long-lived agents that must survive crashes. - [inngest/inngest](https://github.com/inngest/inngest) - Event-driven durable functions with first-class AI step support. - [conductor-oss/conductor](https://github.com/conductor-oss/conductor) - Conductor is an event driven agentic workflow engine providing durable and highly resilient execution engine for applications and AI Agents. - [julep-ai/julep](https://github.com/julep-ai/julep) - Durable, composable AI agents with crash-and-resume flows. - [loopx-project/loopx](https://github.com/loopx-project/loopx) - Control plane with durable state kernel for long-horizon agents. - [restatedev/restate](https://github.com/restatedev/restate) - Resilient applications with durable workflows that tolerate any failure. - [ThousandBirdsInc/chidori](https://github.com/ThousandBirdsInc/chidori) - Agent framework where every run is durable, replayable and resumable. **Azure AI Foundry** - [Azure-Samples/get-started-with-ai-agents](https://github.com/Azure-Samples/get-started-with-ai-agents) - Deploy an agent web app with Azure AI Foundry. - [jonathanscholtes/azure-ai-foundry-agentic-workshop](https://github.com/jonathanscholtes/azure-ai-foundry-agentic-workshop) - Hands-on Foundry agent workshop. - [Azure-Samples/app-service-agentic-langgraph-foundry-python](https://github.com/Azure-Samples/app-service-agentic-langgraph-foundry-python) - LangGraph + Foundry agents on App Service. - [MSFT-Innovation-Hub-India/LangGraph-Foundry-HostedAgent-TravelAgent](https://github.com/MSFT-Innovation-Hub-India/LangGraph-Foundry-HostedAgent-TravelAgent) - Multi-agent customer support as a hosted Foundry agent. - [scholarly360/From-Zero-to-Microsoft-Foundry-Creating-Agents-Via-AI-Projects-Library](https://github.com/scholarly360/From-Zero-to-Microsoft-Foundry-Creating-Agents-Via-AI-Projects-Library) - Agents via the Azure AI Projects SDK. ## Memory & Persistent Context *Agents forget between sessions unless you give them somewhere to remember.* **Memory layers & frameworks** - [mem0ai/mem0](https://github.com/mem0ai/mem0) - Drop-in memory layer for agents and apps. - [letta-ai/letta](https://github.com/letta-ai/letta) - Stateful agents with self-editing memory (formerly MemGPT). - [getzep/graphiti](https://github.com/getzep/graphiti) - Temporal knowledge graphs for agent memory. - [topoteretes/cognee](https://github.com/topoteretes/cognee) - Memory built from knowledge graphs plus vector search. - [supermemoryai/supermemory](https://github.com/supermemoryai/supermemory) - Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era. - [MemTensor/MemOS](https://github.com/MemTensor/MemOS) - Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and. - [volcengine/OpenViking](https://github.com/volcengine/OpenViking) - Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills. - [TencentCloud/TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory) - TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs. - [memodb-io/memobase](https://github.com/memodb-io/memobase) - User Profile-Based Long-Term Memory for AI Chatbot Applications. - [MemPalace/mempalace](https://github.com/MemPalace/mempalace) - The best-benchmarked open-source AI memory system. And it's free. - [getzep/zep](https://github.com/getzep/zep) - Zep | Examples, Integrations, & More. - [MemMachine/MemMachine](https://github.com/MemMachine/MemMachine) - Open-source long-term memory layer for AI agents with MCP server support. - [langchain-ai/langmem](https://github.com/langchain-ai/langmem) - Long-term memory SDK for agents. - [memvid/memvid](https://github.com/memvid/memvid) - Single-file memory layer for AI agents in Rust with ultra-low-latency recall. - [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) - Hindsight: agent memory that learns from outcomes. - [MemoriLabs/Memori](https://github.com/MemoriLabs/Memori) - Agent-native memory infrastructure: an LLM-agnostic memory layer. - [NevaMind-AI/memU](https://github.com/NevaMind-AI/memU) - Personal memory across agents. - [EverMind-AI/EverOS](https://github.com/EverMind-AI/EverOS) - One portable, local-first memory layer for every AI agent. - [plastic-labs/honcho](https://github.com/plastic-labs/honcho) - Memory library for building stateful agents. - [aiming-lab/SimpleMem](https://github.com/aiming-lab/SimpleMem) - [ICML'26] SimpleMem: efficient lifelong memory for LLM agents. - [memodb-io/Acontext](https://github.com/memodb-io/Acontext) - Agent Skills as a Memory Layer. - [BAI-LAB/MemoryOS](https://github.com/BAI-LAB/MemoryOS) - [EMNLP 2025] MemoryOS: a memory operating system for personalized AI. - [kayba-ai/agentic-context-engine](https://github.com/kayba-ai/agentic-context-engine) - Make your agents learn from experience. - [import-ai/omnibox](https://github.com/import-ai/omnibox) - Anywhere, anything to memory, memory to anything. - [ClaudioDrews/memory-os](https://github.com/ClaudioDrews/memory-os) - A 7-layer memory operating system for persistent agent memory. - [kitfunso/hippo-memory](https://github.com/kitfunso/hippo-memory) - Biologically-inspired memory for AI agents with decay and retrieval strength. - [agiresearch/A-mem](https://github.com/agiresearch/A-mem) - A-MEM: Agentic Memory for LLM Agents. - [FjgarciaMac/AIrecall](https://github.com/FjgarciaMac/AIrecall) - Drop-in long-term memory layer for AI agents: episodic plus semantic. - [Siddhant-K-code/distill](https://github.com/Siddhant-K-code/distill) - Context intelligence layer for LLM agents with persistent memory. - [kael-bit/engram-rs](https://github.com/kael-bit/engram-rs) - Memory engine for AI agents with a 3-layer time-decay axis. - [spectrayan/spector](https://github.com/spectrayan/spector) - Memory backbone for AI agents: four-tier working, episodic, semantic store. - [Kyros-494/kyros-ai](https://github.com/Kyros-494/kyros-ai) - Kyros: the memory OS for AI agents, secure and self-hosted. - [zensation-ai/zenbrain](https://github.com/zensation-ai/zenbrain) - Agent memory for LLM agents with 7 neuroscience-inspired layers. - [dog-last/E-mem](https://github.com/dog-last/E-mem) - [ICML 2026] E-mem: multi-agent episodic context reconstruction. - [alibaizhanov/mengram](https://github.com/alibaizhanov/mengram) - Human-like memory for AI agents: semantic, episodic, and procedural. - [memseekai/memseek](https://github.com/memseekai/memseek) - Open source declarative context engine for AI agents. - [moorcheh-ai/memanto](https://github.com/moorcheh-ai/memanto) - Memory layer for AI agents. - [Mirix-AI/MIRIX](https://github.com/Mirix-AI/MIRIX) - Multi-agent personal assistant with long-term memory of on-screen activity. - [FlowElement-xinliuyuansu/m_flow](https://github.com/FlowElement-xinliuyuansu/m_flow) - Bio-inspired cognitive memory engine for graph RAG. - [LycheeMem/LycheeMem](https://github.com/LycheeMem/LycheeMem) - Lightweight long-term memory for LLM agents. - [neo4j-labs/agent-memory](https://github.com/neo4j-labs/agent-memory) - Graph-native memory system for AI agents backed by Neo4j. - [tigerless-labs/agent-memory](https://github.com/tigerless-labs/agent-memory) - Long-term agent memory runtime with Markdown as the source of truth. - [yuzi001a/hippocampus-memory](https://github.com/yuzi001a/hippocampus-memory) - Local-first, source-preserving long-term memory runtime for agents. **Memory for coding agents** - [lucasrosati/claude-code-memory-setup](https://github.com/lucasrosati/claude-code-memory-setup) - Obsidian plus Graphify persistent memory setup for Claude Code. - [thedotmack/claude-mem](https://github.com/thedotmack/claude-mem) - Persistent cross-session context for Claude Code and other agents. - [rohitg00/agentmemory](https://github.com/rohitg00/agentmemory) - Persistent memory for coding agents, benchmarked on real workloads. - [CaviraOSS/LongMemory](https://github.com/CaviraOSS/LongMemory) - Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. - [akitaonrails/ai-memory](https://github.com/akitaonrails/ai-memory) - Long-term memory for agent coding CLIs with cross-vendor handoff. - [campfirein/byterover-cli](https://github.com/campfirein/byterover-cli) - ByteRover CLI: the portable memory layer for autonomous coding agents. - [mex-memory/mex](https://github.com/mex-memory/mex) - Team memory for engineers and their AI agents, living in your repo. - [tickernelz/opencode-mem](https://github.com/tickernelz/opencode-mem) - OpenCode plugin giving coding agents persistent memory locally. - [0xK3vin/MegaMemory](https://github.com/0xK3vin/MegaMemory) - Persistent project knowledge graph for coding agents via MCP. - [jaredrhod/ai-memory-vault](https://github.com/jaredrhod/ai-memory-vault) - Give your AI a real, persistent memory. - [okf-memory/okf-agent-memory](https://github.com/okf-memory/okf-agent-memory) - Git-native persistent memory for AI coding agents. - [DragonShadows1978/AI-AfterImage](https://github.com/DragonShadows1978/AI-AfterImage) - Episodic memory for AI coding agents: recall of code and decisions. - [dvquy13/qrec](https://github.com/dvquy13/qrec) - Session recall engine: persistent daemon with BM25 plus vector hybrid. - [zilliztech/memsearch](https://github.com/zilliztech/memsearch) - Persistent unified memory layer shared across Claude Code, Codex and other agents. - [vshulcz/deja-vu](https://github.com/vshulcz/deja-vu) - Searchable session history memory for coding agents. - [cytostack/openwolf](https://github.com/cytostack/openwolf) - Portable project memory across Claude Code, Codex and OpenCode with token accounting. - [cortexkit/magic-context](https://github.com/cortexkit/magic-context) - Self-managing memory and unbounded context for coding agent sessions. - [omega-memory/omega-memory](https://github.com/omega-memory/omega-memory) - Persistent memory for AI coding agents. - [Gentleman-Programming/engram](https://github.com/Gentleman-Programming/engram) - Agent-agnostic persistent memory for coding agents with SQLite and an MCP server. **Memory MCP servers** - [Dataojitori/nocturne_memory](https://github.com/Dataojitori/nocturne_memory) - Lightweight, rollbackable, visual long-term memory server for MCP. - [C-Bjorn/MegaMem](https://github.com/C-Bjorn/MegaMem) - Transform your Obsidian vault into a knowledge graph served over MCP. - [LeandroPG19/Memorys](https://github.com/LeandroPG19/Memorys) - Persistent memory MCP server for AI agents in Rust with 19 tools. - [PlateerLab/synaptic-memory](https://github.com/PlateerLab/synaptic-memory) - Knowledge graph plus MCP tool server for LLM agents with hybrid retrieval. - [doobidoo/mcp-memory-service](https://github.com/doobidoo/mcp-memory-service) - Persistent memory for agent pipelines and Claude, served over MCP. - [Janadasroor/pg-mnemosyne-mcp](https://github.com/Janadasroor/pg-mnemosyne-mcp) - PostgreSQL-backed MCP server for agent memory, task tracking, and coordination. **Knowledge & code graphs** - [Graphify-Labs/graphify](https://github.com/Graphify-Labs/graphify) - Turn a codebase plus its docs, schemas and PDFs into a queryable graph. - [Egonex-AI/Understand-Anything](https://github.com/Egonex-AI/Understand-Anything) - Interactive knowledge graphs from any code. - [tirth8205/code-review-graph](https://github.com/tirth8205/code-review-graph) - Local-first code-intelligence graph so agents read only what matters. - [colbymchenry/codegraph](https://github.com/colbymchenry/codegraph) - Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini. - [andrewyng/context-hub](https://github.com/andrewyng/context-hub) - Shared context hub for agents. - [garrytan/gbrain](https://github.com/garrytan/gbrain) - Self-wiring knowledge graph brain for AI agents with hybrid search. - [2aronS/agent-git](https://github.com/2aronS/agent-git) - Git-based knowledge management system for AI agents. - [neo4j-labs/meta-knowledge-graph](https://github.com/neo4j-labs/meta-knowledge-graph) - Self-improving, harness-agnostic memory layer for AI agents on Neo4j. - [memgraph/memgraph](https://github.com/memgraph/memgraph) - Real-time graph database with Cypher. - [DeusData/codebase-memory-mcp](https://github.com/DeusData/codebase-memory-mcp) - Code intelligence MCP server that indexes codebases into a persistent graph. - [Ar9av/obsidian-wiki](https://github.com/Ar9av/obsidian-wiki) - Framework for agents to build and maintain an Obsidian wiki as a digital brain. **Benchmarks & papers** - [TeleAI-UAGI/Awesome-Agent-Memory](https://github.com/TeleAI-UAGI/Awesome-Agent-Memory) - Systems, benchmarks and papers on agent memory. - [AutoTrustAI/PaperGuru-Benchmark](https://github.com/AutoTrustAI/PaperGuru-Benchmark) - Lifecycle-aware memory benchmark for long-horizon LLM agents. - [InternLM/EMemBench](https://github.com/InternLM/EMemBench) - [EMNLP 2026] EMemBench: interactive episodic memory benchmark. **Graph databases** - [neo4j/neo4j](https://github.com/neo4j/neo4j) - Graph database for connected data. - [arangodb/arangodb](https://github.com/arangodb/arangodb) - Multi-model NoSQL database for graphs and documents. - [dgraph-io/dgraph](https://github.com/dgraph-io/dgraph) - Distributed GraphQL-native graph database. - [JanusGraph/janusgraph](https://github.com/JanusGraph/janusgraph) - Distributed graph database on Cassandra and HBase. - [vesoft-inc/nebula](https://github.com/vesoft-inc/nebula) - Distributed graph database for large graphs. - [FalkorDB/FalkorDB](https://github.com/FalkorDB/FalkorDB) - Super-fast graph database built on GraphBLAS for sparse graph operations. - [HelixDB/helix-db](https://github.com/HelixDB/helix-db) - HelixDB: OLTP graph database with native vector and full-text search. - [orneryd/NornicDB](https://github.com/orneryd/NornicDB) - Distributed low-latency Graph+Vector database with temporal MVCC. - [jeffhajewski/latticedb](https://github.com/jeffhajewski/latticedb) - Embedded single-file knowledge graph database with vector search. - [arun1729/cog](https://github.com/arun1729/cog) - Embedded graph database for Python living inside your process. **Storage backends** - [surrealdb/surrealdb](https://github.com/surrealdb/surrealdb) - Multi-model cloud database in Rust. - [redis/redis](https://github.com/redis/redis) - In-memory data store for cache and state. - [valkey-io/valkey](https://github.com/valkey-io/valkey) - Open-source Redis fork for in-memory data. - [dragonflydb/dragonfly](https://github.com/dragonflydb/dragonfly) - Drop-in Redis replacement built for scale. - [etcd-io/etcd](https://github.com/etcd-io/etcd) - Distributed key-value store for configuration. - [apache/zookeeper](https://github.com/apache/zookeeper) - Coordination service for distributed systems. - [spacejam/sled](https://github.com/spacejam/sled) - Embedded database in Rust. - [skytable/skytable](https://github.com/skytable/skytable) - NoSQL database with a focus on simplicity. - [tikv/tikv](https://github.com/tikv/tikv) - Distributed transactional key-value database. - [vitessio/vitess](https://github.com/vitessio/vitess) - Database clustering for horizontal MySQL scaling. - [cockroachdb/cockroach](https://github.com/cockroachdb/cockroach) - Distributed SQL database that scales. - [apache/cassandra](https://github.com/apache/cassandra) - Distributed NoSQL wide-column store. ## RAG & Retrieval *Vector databases, search engines, embeddings and the frameworks that ground answers in your own data.* **Vector databases** - [chroma-core/chroma](https://github.com/chroma-core/chroma) - Embedded, zero-config vector store; the right default for prototypes. - [qdrant/qdrant](https://github.com/qdrant/qdrant) - Rust vector database with filtering and hybrid search; production-ready. - [pgvector/pgvector](https://github.com/pgvector/pgvector) - Vector similarity search inside Postgres; skip a new database if you already run Postgres. - [lancedb/lancedb](https://github.com/lancedb/lancedb) - Serverless, file-based vector database on Lance columnar format. - [milvus-io/milvus](https://github.com/milvus-io/milvus) - Distributed vector database for billion-scale workloads. - [weaviate/weaviate](https://github.com/weaviate/weaviate) - Vector database with built-in vectorizers and hybrid search. - [alibaba/zvec](https://github.com/alibaba/zvec) - A lightweight, lightning-fast, in-process vector database. - [VexDB-THU/VexDB-Lite](https://github.com/VexDB-THU/VexDB-Lite) - A cross-platform vector database integrable into existing applications. - [vearch/vearch](https://github.com/vearch/vearch) - Distributed vector search for AI-native applications. - [vdaas/vald](https://github.com/vdaas/vald) - Vald: a highly scalable distributed vector search engine. - [dingodb/dingo](https://github.com/dingodb/dingo) - A multi-modal vector database supporting upserts and vector queries. - [endee-io/endee](https://github.com/endee-io/endee) - A high-performance vector database built for billions of vectors. - [philippgille/chromem-go](https://github.com/philippgille/chromem-go) - Embeddable vector database for Go with a Chroma-like interface. - [oceanbase/seekdb](https://github.com/oceanbase/seekdb) - The AI-native search database for agent storage, unifying vector search. - [Stevenic/vectra](https://github.com/Stevenic/vectra) - Local vector database for Node.js, Pinecone-like but file-based. - [epsilla-cloud/vectordb](https://github.com/epsilla-cloud/vectordb) - A high-performance vector database leveraging parallel graph computing. - [sdan/vlite](https://github.com/sdan/vlite) - A fast vector database built in numpy. - [Semafind/semadb](https://github.com/Semafind/semadb) - No-fuss multi-index hybrid vector database and search engine. - [nuclia/nucliadb](https://github.com/nuclia/nucliadb) - NucliaDB, the AI search database for RAG. - [infiniflow/infinity](https://github.com/infiniflow/infinity) - AI-native database for LLM applications with vector and full-text search. - [objectbox/objectbox-java](https://github.com/objectbox/objectbox-java) - On-device database for Android and JVM with vector search. **Vector search libraries** - [eminsk/nanovector](https://github.com/eminsk/nanovector) - The SQLite of vector search and episodic memory for AI agents in ~120KB. - [spotify/annoy](https://github.com/spotify/annoy) - Approximate nearest neighbors for static vectors. - [facebookresearch/faiss](https://github.com/facebookresearch/faiss) - A library for efficient similarity search and clustering of dense vectors. - [unum-cloud/USearch](https://github.com/unum-cloud/USearch) - Fast open-source search and clustering engine for vectors and more. - [nmslib/hnswlib](https://github.com/nmslib/hnswlib) - Header-only C++/Python library for fast approximate nearest neighbors. - [microsoft/DiskANN](https://github.com/microsoft/DiskANN) - Vector indexing library for fast, fresh, and filtered search at scale. - [sqliteai/sqlite-vector](https://github.com/sqliteai/sqlite-vector) - SQLite-Vector: cross-platform, ultra-efficient SQLite extension. - [StarTrail-org/LEANN](https://github.com/StarTrail-org/LEANN) - Storage-efficient vector index for running RAG over personal data on a laptop. - [RyanCodrai/turbovec](https://github.com/RyanCodrai/turbovec) - Rust vector index with Python bindings built on TurboQuant compression. **Search engines** - [quickwit-oss/tantivy](https://github.com/quickwit-oss/tantivy) - Full-text search engine library in Rust. - [elastic/elasticsearch](https://github.com/elastic/elasticsearch) - Distributed search and analytics engine. - [opensearch-project/OpenSearch](https://github.com/opensearch-project/OpenSearch) - Search and analytics suite, Apache 2.0 fork. - [apache/solr](https://github.com/apache/solr) - Enterprise full-text search platform. - [searxng/searxng](https://github.com/searxng/searxng) - Free metasearch engine aggregating results without tracking or profiling. - [meilisearch/meilisearch](https://github.com/meilisearch/meilisearch) - A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. - [marqo-ai/marqo](https://github.com/marqo-ai/marqo) - Ecommerce Search and Discovery - marqo.ai. - [vespa-engine/vespa](https://github.com/vespa-engine/vespa) - Large-scale AI search platform for hybrid text and vector retrieval at internet scale. - [typesense/typesense](https://github.com/typesense/typesense) - Fast typo-tolerant search engine with vector and hybrid search plus built-in RAG. - [manticoresoftware/manticoresearch](https://github.com/manticoresoftware/manticoresearch) - Open-source search database for full-text, vector, and hybrid search. - [oramasearch/orama](https://github.com/oramasearch/orama) - A complete search engine and RAG pipeline for browser and server. - [DeepBlueDynamics/lume](https://github.com/DeepBlueDynamics/lume) - A small, crazy-fast hybrid search engine written in Rust. - [nixiesearch/nixiesearch](https://github.com/nixiesearch/nixiesearch) - Hybrid search engine combining text and semantic search. - [cameodb/cameodb](https://github.com/cameodb/cameodb) - CameoDB: the unified hybrid-search database engine. - [paradedb/paradedb](https://github.com/paradedb/paradedb) - Postgres extension adding BM25 full-text search and hybrid retrieval. **Embeddings, rerankers & search** - [huggingface/sentence-transformers](https://github.com/huggingface/sentence-transformers) - Standard library for embedding models and cross-encoder rerankers. - [FlagOpen/FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding) - BGE embeddings and rerankers; strong open baselines. - [AnswerDotAI/RAGatouille](https://github.com/AnswerDotAI/RAGatouille) - ColBERT late-interaction retrieval made easy. - [xhluca/bm25s](https://github.com/xhluca/bm25s) - Fast BM25 in Python for the lexical half of hybrid search. - [NovaSearch-Team/RAG-Retrieval](https://github.com/NovaSearch-Team/RAG-Retrieval) - Unify efficient fine-tuning of RAG retrieval: embeddings and rerankers. - [castorini/rank_llm](https://github.com/castorini/rank_llm) - RankLLM: Python toolkit for reproducible information retrieval research. - [ielab/llm-rankers](https://github.com/ielab/llm-rankers) - Document ranking with large language models: pointwise, listwise, and setwise. - [huggingface/text-embeddings-inference](https://github.com/huggingface/text-embeddings-inference) - A blazing fast inference solution for text embeddings models. - [castorini/pyserini](https://github.com/castorini/pyserini) - Pyserini: Python toolkit for reproducible IR research with sparse and dense retrieval. - [michaelfeil/infinity](https://github.com/michaelfeil/infinity) - Infinity: high-throughput, low-latency serving for embeddings and rerankers. - [superlinked/sie](https://github.com/superlinked/sie) - Open-source inference server and production cluster for agent models. - [AnswerDotAI/rerankers](https://github.com/AnswerDotAI/rerankers) - Unified API for reranker models in retrieval pipelines. - [dorianbrown/rank_bm25](https://github.com/dorianbrown/rank_bm25) - BM25 ranking for lexical search in Python. - [stanford-futuredata/ColBERT](https://github.com/stanford-futuredata/ColBERT) - Late-interaction neural retrieval for RAG. - [qdrant/fastembed](https://github.com/qdrant/fastembed) - Fast, lightweight Python library for state-of-the-art text embeddings. **RAG frameworks & techniques** - [neuml/txtai](https://github.com/neuml/txtai) - All-in-one AI framework for semantic search and LLM orchestration. - [OSU-NLP-Group/HippoRAG](https://github.com/OSU-NLP-Group/HippoRAG) - [NeurIPS'24] RAG framework inspired by human long-term memory for deeper multi-hop reasoning. - [carriex/recomp](https://github.com/carriex/recomp) - RECOMP: compress and selectively augment retrieved documents for RAG. - [HKUDS/RAG-Anything](https://github.com/HKUDS/RAG-Anything) - All-in-one multimodal RAG framework. - [NirDiamant/RAG_Techniques](https://github.com/NirDiamant/RAG_Techniques) - Advanced RAG techniques, each with runnable code. - [Shubhamsaboo/all-rag-techniques](https://github.com/Shubhamsaboo/all-rag-techniques) - Every RAG technique, implemented simply. - [pguso/rag-from-scratch](https://github.com/pguso/rag-from-scratch) - Build RAG from scratch with local models, no black boxes. - [jamwithai/production-agentic-rag-course](https://github.com/jamwithai/production-agentic-rag-course) - Production agentic RAG course. - [upstash/context7](https://github.com/upstash/context7) - Up-to-date library documentation served to LLMs and editors. - [pathwaycom/pathway](https://github.com/pathwaycom/pathway) - Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. - [pathwaycom/llm-app](https://github.com/pathwaycom/llm-app) - Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. - [The-Vibe-Company/quivr](https://github.com/The-Vibe-Company/quivr) - Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. - [onyx-dot-app/onyx](https://github.com/onyx-dot-app/onyx) - Open Source AI Platform - AI Chat with advanced features that works with every LLM. - [infiniflow/ragflow](https://github.com/infiniflow/ragflow) - RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses. - [zylon-ai/private-gpt](https://github.com/zylon-ai/private-gpt) - Complete API layer for private AI applications on local models: RAG, skills, tools, MCP. - [VectifyAI/PageIndex](https://github.com/VectifyAI/PageIndex) - PageIndex: Document Index for Vectorless, Reasoning-based RAG. - [llmware-ai/llmware](https://github.com/llmware-ai/llmware) - Unified framework for enterprise RAG pipelines with small specialized models. - [OpenBMB/UltraRAG](https://github.com/OpenBMB/UltraRAG) - Low-code MCP framework for building complex, innovative RAG pipelines. - [Azure/GPT-RAG](https://github.com/Azure/GPT-RAG) - Enterprise-grade accelerator for agentic RAG on Azure. - [memfreeme/memfree](https://github.com/memfreeme/memfree) - MemFree: hybrid AI search engine and AI page generator. - [ggozad/haiku.rag](https://github.com/ggozad/haiku.rag) - Agentic RAG for local and self-hosted document search with hybrid retrieval. - [notadev-iamaura/OneRAG](https://github.com/notadev-iamaura/OneRAG) - Production-ready RAG framework with 1-line config swaps for providers. - [MoMoM101/RAG-ReActAgent](https://github.com/MoMoM101/RAG-ReActAgent) - Retrieval-augmented generation system with a ReAct agent loop. - [flamehaven01/Flamehaven-Filesearch](https://github.com/flamehaven01/Flamehaven-Filesearch) - Self-hosted RAG search engine: 34 formats, BM25 plus hybrid search. - [hanxiao/searchbox](https://github.com/hanxiao/searchbox) - Airgapped closed-corpus QA: a self-hosted agent explores documents and answers. - [nshkrdotcom/rag_ex](https://github.com/nshkrdotcom/rag_ex) - Elixir RAG library with multi-LLM routing across Gemini, Claude, and OpenAI. - [weizhepei/InstructRAG](https://github.com/weizhepei/InstructRAG) - [ICLR 2025] InstructRAG: instructing RAG via self-synthesized rationales. - [Tencent/WeKnora](https://github.com/Tencent/WeKnora) - LLM knowledge platform that turns documents into queryable RAG and agent workflows. - [MODSetter/SurfSense](https://github.com/MODSetter/SurfSense) - Privacy-focused open source NotebookLM alternative with RAG over your own sources. - [zilliztech/deep-searcher](https://github.com/zilliztech/deep-searcher) - Deep research over private data using reasoning models and vector search. - [labring/FastGPT](https://github.com/labring/FastGPT) - FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of. - [Minima-AI-Inc/minima](https://github.com/Minima-AI-Inc/minima) - On-premises conversational RAG with configurable containers. - [netease-youdao/QAnything](https://github.com/netease-youdao/QAnything) - Question answering over documents with a web UI. - [SciPhi-AI/R2R](https://github.com/SciPhi-AI/R2R) - Production-ready agentic RAG system with a dashboard. - [morphik-org/morphik-core](https://github.com/morphik-org/morphik-core) - Open-source multimodal retrieval engine for documents, images and video. **Graph RAG** - [HKUDS/LightRAG](https://github.com/HKUDS/LightRAG) - Simple, fast graph-based RAG. - [microsoft/graphrag](https://github.com/microsoft/graphrag) - Microsoft's graph-based RAG for global questions over corpora. - [OpenSPG/KAG](https://github.com/OpenSPG/KAG) - Logical-form-guided reasoning and retrieval framework over knowledge graphs. - [benmaster82/Kwipu](https://github.com/benmaster82/Kwipu) - Ask questions across your Markdown notes using fully local Graph RAG. - [pingcap/autoflow](https://github.com/pingcap/autoflow) - Graph RAG-based conversational knowledge base. - [NVIDIA/context-aware-rag](https://github.com/NVIDIA/context-aware-rag) - Context-aware RAG library for knowledge graph ingestion and retrieval. - [vitali87/code-graph-rag](https://github.com/vitali87/code-graph-rag) - The ultimate RAG for your monorepo: query and edit multi-language codebases. - [hhy-huang/HiRAG](https://github.com/hhy-huang/HiRAG) - [EMNLP'25] HiRAG: easy-to-use Graph RAG with hierarchical retrieval. - [raphaelmansuy/edgequake](https://github.com/raphaelmansuy/edgequake) - High-performance GraphRAG inspired by LightRAG. - [1517005260/graph-rag-agent](https://github.com/1517005260/graph-rag-agent) - GraphRAG agent fusing GraphRAG, LightRAG, and Neo4j graph construction. - [automataIA/graphrag-rs](https://github.com/automataIA/graphrag-rs) - GraphRAG-rs: high-performance Rust implementation of GraphRAG. - [LHRLAB/HyperGraphRAG](https://github.com/LHRLAB/HyperGraphRAG) - [NeurIPS 2025] HyperGraphRAG: retrieval-augmented generation over hypergraphs. - [bibinprathap/VeritasGraph](https://github.com/bibinprathap/VeritasGraph) - VeritasGraph: open-source knowledge graph and GraphRAG framework. - [DerwenAI/strwythura](https://github.com/DerwenAI/strwythura) - Strwythura: construct entity-resolved knowledge graphs from structured data. - [PorunC/CodeWiki](https://github.com/PorunC/CodeWiki) - CodeWiki: knowledge platform analyzing repositories into AST graphs. - [Muvon/octocode](https://github.com/Muvon/octocode) - Structural code intelligence for AI agents: semantic search and knowledge graphs. - [gibram-io/gibram](https://github.com/gibram-io/gibram) - GibRAM: in-memory knowledge graph server designed for retrieval. - [lyon-industries/graphrag-workbench](https://github.com/lyon-industries/graphrag-workbench) - Interactive 3D visualization of knowledge graphs generated by GraphRAG. - [Abhishek-Aditya-bs/CodeGraph](https://github.com/Abhishek-Aditya-bs/CodeGraph) - GraphRAG over any codebase: a Neo4j knowledge graph of code entities. - [FareedKhan-dev/agentic-knowledge-graph](https://github.com/FareedKhan-dev/agentic-knowledge-graph) - Knowledge-graph RAG built from structured metadata instead of LLM extraction. - [hanjiale/Temporal-GraphRAG](https://github.com/hanjiale/Temporal-GraphRAG) - Official code for 'RAG Meets Temporal Graphs': time-sensitive modeling. - [yonk-labs/pg-raggraph](https://github.com/yonk-labs/pg-raggraph) - PostgreSQL-native GraphRAG: vector search, full-text, and knowledge graphs. - [awslabs/unified-kg-rag-on-aws](https://github.com/awslabs/unified-kg-rag-on-aws) - AWS-native knowledge graph RAG framework unifying graph-retrieval approaches. - [machuangtao/LLM-KG4QA](https://github.com/machuangtao/LLM-KG4QA) - [EMNLP2025] LLM-KG4QA: large language models and knowledge graphs for QA. - [AmirhosseinHonardoust/Graph-RAG-Engine](https://github.com/AmirhosseinHonardoust/Graph-RAG-Engine) - An explainable AI system combining graph intelligence and vector search. - [Aliu-AiRobot/ESEILANE](https://github.com/Aliu-AiRobot/ESEILANE) - High-performance knowledge graph engine for AI, LLMs, and GraphRAG. - [intuit/infigraph](https://github.com/intuit/infigraph) - AST-powered code intelligence engine: graph database plus hybrid semantic search. - [neo4j-labs/llm-graph-builder](https://github.com/neo4j-labs/llm-graph-builder) - Builds Neo4j knowledge graphs from unstructured documents using LLMs. **Semantic caching** - [zilliztech/GPTCache](https://github.com/zilliztech/GPTCache) - Semantic cache for LLMs, fully integrated with LangChain and LlamaIndex. - [aqstack/mimir](https://github.com/aqstack/mimir) - A drop-in proxy caching LLM API responses using semantic similarity. - [messkan/prompt-cache](https://github.com/messkan/prompt-cache) - Cut LLM costs by up to 80% with sub-millisecond cached responses. - [sensoris/semcache](https://github.com/sensoris/semcache) - Semantic caching layer for your LLM applications. - [vcache-project/vCache](https://github.com/vcache-project/vCache) - Reliable and efficient semantic prompt caching with vCache. - [botirkhaltaev/semanticcache](https://github.com/botirkhaltaev/semanticcache) - A Go library for semantic caching with LRU eviction. - [nickleodoen/ferrocache](https://github.com/nickleodoen/ferrocache) - A distributed semantic cache service for LLM applications. - [zakariaf/RAG-Cache](https://github.com/zakariaf/RAG-Cache) - High-performance LLM query cache with semantic search. - [Cozymori/VectorWave](https://github.com/Cozymori/VectorWave) - One decorator for semantic caching plus golden-data regression testing. - [mpaymenremora/CacheCraft](https://github.com/mpaymenremora/CacheCraft) - Semantic cache strategy bench: replay recorded request traces. **RAG evaluation & benchmarks** - [zilliztech/VectorDBBench](https://github.com/zilliztech/VectorDBBench) - Benchmark suite for vector databases. - [hseb-benchmark/hseb](https://github.com/hseb-benchmark/hseb) - HSEB: benchmark for hybrid search engines. - [xmpuspus/kb-arena](https://github.com/xmpuspus/kb-arena) - Benchmark 19 retrieval architectures: vector, contextual, and knowledge-based. - [agentset-ai/reranker-eval](https://github.com/agentset-ai/reranker-eval) - Benchmarking rerankers in a RAG pipeline on accuracy metrics. - [RUC-NLPIR/FlashRAG](https://github.com/RUC-NLPIR/FlashRAG) - Python toolkit for reproducing and benchmarking efficient RAG pipelines. ## MCP Servers & Tool Integration *The Model Context Protocol is the USB-C of agent tooling.* **Protocol & SDKs** - [PrefectHQ/fastmcp](https://github.com/PrefectHQ/fastmcp) - The fast, Pythonic way to build MCP servers and clients. - [punkpeye/fastmcp](https://github.com/punkpeye/fastmcp) - TypeScript framework for building MCP servers. - [ArcadeAI/arcade-mcp](https://github.com/ArcadeAI/arcade-mcp) - MCP server framework and tool-development library for agent capabilities. - [modelcontextprotocol/modelcontextprotocol](https://github.com/modelcontextprotocol/modelcontextprotocol) - The MCP specification. - [modelcontextprotocol/python-sdk](https://github.com/modelcontextprotocol/python-sdk) - Official Python SDK. - [modelcontextprotocol/typescript-sdk](https://github.com/modelcontextprotocol/typescript-sdk) - Official TypeScript SDK. - [modelcontextprotocol/go-sdk](https://github.com/modelcontextprotocol/go-sdk) - Official Go SDK for building MCP servers and clients. - [mark3labs/mcp-go](https://github.com/mark3labs/mcp-go) - Go SDK for building MCP servers and clients with LLM applications. - [modelcontextprotocol/rust-sdk](https://github.com/modelcontextprotocol/rust-sdk) - Official Rust SDK for building MCP servers and clients. - [modelcontextprotocol/csharp-sdk](https://github.com/modelcontextprotocol/csharp-sdk) - Official C# SDK for building MCP servers and clients. - [modelcontextprotocol/java-sdk](https://github.com/modelcontextprotocol/java-sdk) - Official Java SDK for building MCP servers and clients. - [modelcontextprotocol/swift-sdk](https://github.com/modelcontextprotocol/swift-sdk) - Official Swift SDK for building MCP servers and clients. - [modelcontextprotocol/kotlin-sdk](https://github.com/modelcontextprotocol/kotlin-sdk) - Official Kotlin SDK for building MCP servers and clients. - [mcp-use/mcp-use](https://github.com/mcp-use/mcp-use) - The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents. - [SatyamSingh8306/mcp_arena](https://github.com/SatyamSingh8306/mcp_arena) - Python library for building MCP servers with intelligent agent orchestration. - [tadata-org/fastapi_mcp](https://github.com/tadata-org/fastapi_mcp) - Exposes FastAPI endpoints as authenticated MCP tools. - [agentrpc/agentrpc](https://github.com/agentrpc/agentrpc) - Universal RPC layer connecting AI agents to functions in any language. **Inspectors & dev tools** - [modelcontextprotocol/inspector](https://github.com/modelcontextprotocol/inspector) - Visual debugger for MCP servers. - [MCPJam/inspector](https://github.com/MCPJam/inspector) - Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps. - [wong2/mcp-cli](https://github.com/wong2/mcp-cli) - A CLI inspector for the Model Context Protocol. - [arcadeai-labs/smithery-cli](https://github.com/arcadeai-labs/smithery-cli) - Install, manage and develop MCP servers and skills for agents. **Gateways, proxies & hosting** - [IBM/mcp-context-forge](https://github.com/IBM/mcp-context-forge) - AI gateway, registry, and proxy unifying MCP, A2A, and REST/gRPC APIs. - [sparfenyuk/mcp-proxy](https://github.com/sparfenyuk/mcp-proxy) - A bridge between Streamable HTTP and stdio MCP transports. - [punkpeye/mcp-remote](https://github.com/punkpeye/mcp-remote) - Connect an MCP Client that only supports local (stdio) servers to a Remote MCP Server. - [stacklok/toolhive](https://github.com/stacklok/toolhive) - Enterprise-grade platform for running and managing MCP servers. - [agentgateway/agentgateway](https://github.com/agentgateway/agentgateway) - Agentic proxy and gateway for AI agents, MCP servers and A2A. **Tool integration platforms** - [ComposioHQ/composio](https://github.com/ComposioHQ/composio) - 250+ pre-built tool integrations with auth handled for you. - [Klavis-AI/klavis](https://github.com/Klavis-AI/klavis) - MCP integration platform for connecting agents to tools at scale. - [cporter202/agentic-ai-apis](https://github.com/cporter202/agentic-ai-apis) - 2,000+ production APIs across agents, models and MCP servers. - [superdesigndev/treg](https://github.com/superdesigndev/treg) - Hub for agent tools and API credentials, OpenRouter-style. **Clients & directories** - [punkpeye/awesome-mcp-clients](https://github.com/punkpeye/awesome-mcp-clients) - Curated collection of MCP clients. - [punkpeye/awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers) - The definitive MCP server directory. - [modelcontextprotocol/registry](https://github.com/modelcontextprotocol/registry) - Official community registry for MCP servers. - [microsoft/mcp-for-beginners](https://github.com/microsoft/mcp-for-beginners) - Curriculum on MCP fundamentals. **Servers** - [roomi-fields/notebooklm-mcp](https://github.com/roomi-fields/notebooklm-mcp) - Google NotebookLM over MCP plus a local HTTP REST API. - [modelcontextprotocol/servers](https://github.com/modelcontextprotocol/servers) - Model Context Protocol Servers. - [github/github-mcp-server](https://github.com/github/github-mcp-server) - Official GitHub MCP server. - [HKUDS/CLI-Anything](https://github.com/HKUDS/CLI-Anything) - Make any software agent-native by wrapping it as a CLI. **Database & data servers** - [googleapis/mcp-toolbox](https://github.com/googleapis/mcp-toolbox) - MCP Toolbox for Databases. - [raw-labs/mxcp](https://github.com/raw-labs/mxcp) - Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure. - [supabase/mcp](https://github.com/supabase/mcp) - Official Supabase MCP server connecting AI assistants to your projects. - [qdrant/mcp-server-qdrant](https://github.com/qdrant/mcp-server-qdrant) - An official Qdrant Model Context Protocol (MCP) server implementation. - [designcomputer/mysql_mcp_server](https://github.com/designcomputer/mysql_mcp_server) - A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases. - [ClickHouse/mcp-clickhouse](https://github.com/ClickHouse/mcp-clickhouse) - Connect ClickHouse to your AI assistants. - [elastic/mcp-server-elasticsearch](https://github.com/elastic/mcp-server-elasticsearch) - Official Elasticsearch MCP server for natural-language search and analytics. - [neondatabase/mcp-server-neon](https://github.com/neondatabase/mcp-server-neon) - MCP server for interacting with Neon Management API and databases. - [domdomegg/airtable-mcp-server](https://github.com/domdomegg/airtable-mcp-server) - Airtable MCP server letting AI systems interact with your Airtable bases. - [redis/mcp-redis](https://github.com/redis/mcp-redis) - The official Redis MCP Server is a natural language interface designed for agentic. - [motherduckdb/mcp-server-motherduck](https://github.com/motherduckdb/mcp-server-motherduck) - Local MCP server for DuckDB and MotherDuck. - [kiliczsh/mcp-mongo-server](https://github.com/kiliczsh/mcp-mongo-server) - A Model Context Protocol Server for MongoDB. - [isaacwasserman/mcp-snowflake-server](https://github.com/isaacwasserman/mcp-snowflake-server) - MCP server for Snowflake with read/write operations and insight tracking. - [ergut/mcp-bigquery-server](https://github.com/ergut/mcp-bigquery-server) - A Model Context Protocol (MCP) server that provides secure, read-only access to BigQuery. - [weaviate/mcp-server-weaviate](https://github.com/weaviate/mcp-server-weaviate) - Official Weaviate MCP server for vector search and data management. - [LucasHild/mcp-server-bigquery](https://github.com/LucasHild/mcp-server-bigquery) - A Model Context Protocol server that provides access to BigQuery. - [jparkerweb/mcp-sqlite](https://github.com/jparkerweb/mcp-sqlite) - Model Context Protocol (MCP) server that provides comprehensive SQLite database interaction. - [edwinbernadus/nocodb-mcp-server](https://github.com/edwinbernadus/nocodb-mcp-server) - MCP server for the NocoDB open-source database. - [datastax/astra-db-mcp](https://github.com/datastax/astra-db-mcp) - MCP server for Astra DB database workloads. - [pinecone-io/pinecone-mcp](https://github.com/pinecone-io/pinecone-mcp) - Official Pinecone MCP server for managing vector database projects. - [iunera/druid-mcp-server](https://github.com/iunera/druid-mcp-server) - Comprehensive MCP server for Apache Druid cluster management and analysis. - [couchbase/mcp-server-couchbase](https://github.com/couchbase/mcp-server-couchbase) - MCP server connecting AI agents to Couchbase and Capella. - [JaviMaligno/postgres_mcp](https://github.com/JaviMaligno/postgres_mcp) - PostgreSQL MCP server with Docker-friendly connectivity. - [kosminus/querywise-mcp](https://github.com/kosminus/querywise-mcp) - MCP server and CLI for natural-language database queries via a semantic layer. **Cloud & DevOps servers** - [awslabs/mcp](https://github.com/awslabs/mcp) - Open source MCP Servers for AWS. - [Flux159/mcp-server-kubernetes](https://github.com/Flux159/mcp-server-kubernetes) - MCP Server for kubernetes management commands. - [cloudflare/mcp-server-cloudflare](https://github.com/cloudflare/mcp-server-cloudflare) - Cloudflare's official MCP server for managing Workers, KV, R2, DNS, and more. - [containers/kubernetes-mcp-server](https://github.com/containers/kubernetes-mcp-server) - Model Context Protocol (MCP) server for Kubernetes and OpenShift. - [grafana/mcp-grafana](https://github.com/grafana/mcp-grafana) - MCP server for Grafana. - [getsentry/sentry-mcp](https://github.com/getsentry/sentry-mcp) - An MCP server for interacting with Sentry via LLMs. - [TencentCloudBase/CloudBase-AI-Toolkit](https://github.com/TencentCloudBase/CloudBase-AI-Toolkit) - Backend for AI coding agents on CloudBase: database, auth, functions, and MCP. - [strowk/mcp-k8s-go](https://github.com/strowk/mcp-k8s-go) - MCP server connecting to Kubernetes. - [aliyun/alibabacloud-devops-mcp-server](https://github.com/aliyun/alibabacloud-devops-mcp-server) - MCP server for Alibaba Cloud Yunxiao DevOps platform interaction. - [StacklokLabs/mkp](https://github.com/StacklokLabs/mkp) - MKP is a Model Context Protocol (MCP) server for Kubernetes. - [thunderboltsid/mcp-nutanix](https://github.com/thunderboltsid/mcp-nutanix) - MCP Server for Nutanix. - [Aiven-Open/mcp-aiven](https://github.com/Aiven-Open/mcp-aiven) - Model Context Protocol server for Aiven. - [spre-sre/lumino-mcp-server](https://github.com/spre-sre/lumino-mcp-server) - AI-powered SRE observability engine for Kubernetes and OpenShift diagnostics. **Browser, search & scraping servers** - [microsoft/playwright-mcp](https://github.com/microsoft/playwright-mcp) - Browser automation over MCP using accessibility snapshots. - [executeautomation/mcp-playwright](https://github.com/executeautomation/mcp-playwright) - Playwright MCP server for browser and API automation in AI IDEs. - [exa-labs/exa-mcp-server](https://github.com/exa-labs/exa-mcp-server) - Official Exa MCP server for web search, crawling, and research tools. - [blazickjp/arxiv-mcp-server](https://github.com/blazickjp/arxiv-mcp-server) - Local MCP server for arXiv literature work with LaTeX and BibTeX support. - [apify/apify-mcp-server](https://github.com/apify/apify-mcp-server) - Official Apify MCP server exposing thousands of web scrapers and crawlers. - [brightdata/brightdata-mcp](https://github.com/brightdata/brightdata-mcp) - All-in-one MCP server for public web access and data collection. - [superagents-lab/search1api-mcp](https://github.com/superagents-lab/search1api-mcp) - Official Search1API MCP server for web search, news, and crawling. - [tinyfish-io/agentql-mcp](https://github.com/tinyfish-io/agentql-mcp) - MCP server integrating AgentQL's structured web data extraction. - [ihor-sokoliuk/mcp-searxng](https://github.com/ihor-sokoliuk/mcp-searxng) - Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client. - [scrapeless-ai/scrapeless-mcp-server](https://github.com/scrapeless-ai/scrapeless-mcp-server) - Scrapeless Mcp Server. - [ChanMeng666/server-google-news](https://github.com/ChanMeng666/server-google-news) - MCP server for Google News search via SerpAPI with categorization and multi-language support. - [damionrashford/RivalSearchMCP](https://github.com/damionrashford/RivalSearchMCP) - Deterministic research MCP server with multi-engine web and social search. - [adawalli/nexus](https://github.com/adawalli/nexus) - MCP Server to make searching openrouter easy. - [angheljf/nyt](https://github.com/angheljf/nyt) - MCP server for searching and reading New York Times articles. - [uju777/coupang-mcp](https://github.com/uju777/coupang-mcp) - MCP server for Coupang product search with price comparison and Rocket delivery filter. - [uju777/mcp-server-naver-search](https://github.com/uju777/mcp-server-naver-search) - MCP server for Naver Search (Shopping, Cafe, News). Essential for Korean users. - [firecrawl/firecrawl-mcp-server](https://github.com/firecrawl/firecrawl-mcp-server) - Official Firecrawl MCP server for web scraping and search. **Productivity, files & business servers** - [korotovsky/slack-mcp-server](https://github.com/korotovsky/slack-mcp-server) - Feature-rich Slack MCP server with channels, DMs, and smart history fetch. - [haris-musa/excel-mcp-server](https://github.com/haris-musa/excel-mcp-server) - A Model Context Protocol server for Excel file manipulation. - [makenotion/notion-mcp-server](https://github.com/makenotion/notion-mcp-server) - Official Notion MCP Server. - [MarkusPfundstein/mcp-obsidian](https://github.com/MarkusPfundstein/mcp-obsidian) - MCP server that interacts with Obsidian via the Obsidian rest API community plugin. - [mark3labs/mcp-filesystem-server](https://github.com/mark3labs/mcp-filesystem-server) - Go server implementing Model Context Protocol (MCP) for filesystem operations. - [Softeria/ms-365-mcp-server](https://github.com/Softeria/ms-365-mcp-server) - A Model Context Protocol (MCP) server for interacting with Microsoft 365 and Microsoft Office. - [suekou/mcp-notion-server](https://github.com/suekou/mcp-notion-server) - A Model Context Protocol server for connecting Notion to MCP-compatible clients. - [onebirdrocks/ebook-mcp](https://github.com/onebirdrocks/ebook-mcp) - MCP server for EPUB and PDF eBook interaction with LLMs. - [mamertofabian/mcp-everything-search](https://github.com/mamertofabian/mcp-everything-search) - MCP server exposing Voidtools Everything instant file search to AI clients. - [efforthye/fast-filesystem-mcp](https://github.com/efforthye/fast-filesystem-mcp) - High-performance MCP server for secure filesystem access. - [siva010928/multi-chat-mcp-server](https://github.com/siva010928/multi-chat-mcp-server) - Google Chat MCP server letting AI assistants join team conversations. - [feuerdev/keep-mcp](https://github.com/feuerdev/keep-mcp) - MCP server for Google Keep. - [fajarmf/slite-mcp](https://github.com/fajarmf/slite-mcp) - Model Context Protocol server for Slite integration - search and retrieve notes from your. - [k-jarzyna/mcp-miro](https://github.com/k-jarzyna/mcp-miro) - Miro integration for Model Context Protocol. - [iOfficeAI/OfficeCLI](https://github.com/iOfficeAI/OfficeCLI) - Office suite built for agents to read, edit and automate documents. - [czlonkowski/n8n-mcp](https://github.com/czlonkowski/n8n-mcp) - Build n8n workflows from Claude, Cursor or Windsurf. - [pipeboard-co/meta-ads-mcp](https://github.com/pipeboard-co/meta-ads-mcp) - Meta Ads MCP server for Claude, ChatGPT, Perplexity, and Cursor. - [gomarble-ai/facebook-ads-mcp-server](https://github.com/gomarble-ai/facebook-ads-mcp-server) - MCP server for querying and analyzing Facebook Ads performance data. - [gomarble-ai/google-ads-mcp-server](https://github.com/gomarble-ai/google-ads-mcp-server) - MCP server for analyzing Google Ads performance data. - [financial-datasets/mcp-server](https://github.com/financial-datasets/mcp-server) - Stock-market data over MCP. - [stripe/ai](https://github.com/stripe/ai) - Official Stripe SDKs, remote MCP server, and agent skills for billing-powered agents. - [paypal/agent-toolkit](https://github.com/paypal/agent-toolkit) - PayPal agent toolkit for building AI-powered commerce experiences. - [WhiskeySockets/Baileys](https://github.com/WhiskeySockets/Baileys) - WhatsApp Web API for building messaging agents. - [ip2location/mcp-ip2location-io](https://github.com/ip2location/mcp-ip2location-io) - IP Geolocation MCP server using IP2Location.io API. - [BartWaardenburg/spaceship-mcp](https://github.com/BartWaardenburg/spaceship-mcp) - MCP server for the Spaceship API: domains, DNS, contacts, listings. - [dream-num/univer](https://github.com/dream-num/univer) - Office runtime for agents: spreadsheets, docs, slides and PDF in one place. **Creative & app-control servers** - [21st-dev/magic-mcp](https://github.com/21st-dev/magic-mcp) - v0-style UI component generation inside your editor. - [grab/cursor-talk-to-figma-mcp](https://github.com/grab/cursor-talk-to-figma-mcp) - MCP integration between coding agents and Figma. - [ahujasid/mcp-for-blender](https://github.com/ahujasid/mcp-for-blender) - MCP server and addon that lets LLMs control Blender 3D. - [CoplayDev/unity-mcp](https://github.com/CoplayDev/unity-mcp) - MCP bridge that gives AI assistants control of the Unity Editor. - [mrexodia/ida-pro-mcp](https://github.com/mrexodia/ida-pro-mcp) - MCP server connecting IDA Pro to LLMs for reverse engineering. - [homeassistant-ai/ha-mcp](https://github.com/homeassistant-ai/ha-mcp) - MCP server for controlling and managing Home Assistant. - [video-db/agent-toolkit](https://github.com/video-db/agent-toolkit) - Agent toolkit with MCP support for building video-aware AI applications. ## Sandboxes, Browsers & Computer Use *Isolated places to run agent-written code, and the browsers and scrapers agents drive.* **Sandboxes** - [superradcompany/microsandbox](https://github.com/superradcompany/microsandbox) - Fast branchable microVMs for agent workloads. - [stacklok/brood-box](https://github.com/stacklok/brood-box) - Run coding agents inside hardware-isolated microVMs. - [e2b-dev/E2B](https://github.com/e2b-dev/E2B) - Secure cloud sandboxes for running agent-generated code. - [daytonaio/daytona](https://github.com/daytonaio/daytona) - Infrastructure for running AI-generated code in isolated environments. - [TencentCloud/CubeSandbox](https://github.com/TencentCloud/CubeSandbox) - Instant, concurrent, secure sandboxes for agents. - [opensandbox-group/OpenSandbox](https://github.com/opensandbox-group/OpenSandbox) - Secure, Fast, and Extensible Sandbox runtime for AI agents. - [vercel/sandbox](https://github.com/vercel/sandbox) - Official Vercel SDK and CLI for ephemeral Firecracker sandboxes that run agent code. - [cloudflare/sandbox-sdk](https://github.com/cloudflare/sandbox-sdk) - Official Cloudflare SDK for secure isolated containers at the edge. - [pydantic/monty](https://github.com/pydantic/monty) - Minimal, secure Python interpreter in Rust for running LLM-written code. - [agent-infra/sandbox](https://github.com/agent-infra/sandbox) - All-in-one agent sandbox combining browser, shell, file system, MCP and VSCode server. - [kubernetes-sigs/agent-sandbox](https://github.com/kubernetes-sigs/agent-sandbox) - Kubernetes controller for isolated, stateful sandboxes for agent workloads. - [judge0/judge0](https://github.com/judge0/judge0) - Robust sandboxed code execution system for humans and AI agents. - [engineer-man/piston](https://github.com/engineer-man/piston) - High performance general purpose code execution engine. - [tastyeffectco/sandboxd](https://github.com/tastyeffectco/sandboxd) - Self-hosted AI app builder running agents in isolated preview sandboxes. - [gotempsh/temps](https://github.com/gotempsh/temps) - Self-hosted Rust platform with AI-agent sandboxes, gateway, and observability. - [schmitthub/clawker](https://github.com/schmitthub/clawker) - AI coding agent sandbox: isolated Docker containers behind an egress firewall. - [octelium/cordium](https://github.com/octelium/cordium) - General-purpose sandbox platform with identity-based secure access for agents. - [NVIDIA/OpenShell](https://github.com/NVIDIA/OpenShell) - NVIDIA's safe, private runtime for autonomous AI agents. - [e2b-dev/runtime](https://github.com/e2b-dev/runtime) - The runtime behind E2B sandboxes, runnable on your own machine. - [agent-substrate/substrate](https://github.com/agent-substrate/substrate) - Secure agent execution runtime for running sandboxes at high density. - [Nasiko-Labs/nasiko](https://github.com/Nasiko-Labs/nasiko) - Open runtime for running and securing AI agents. **Isolation runtimes & dev environments** - [google/nsjail](https://github.com/google/nsjail) - Lightweight process isolation using Linux namespaces and seccomp. - [google/gvisor](https://github.com/google/gvisor) - Application kernel for containers with strong syscall isolation. - [firecracker-microvm/firecracker-containerd](https://github.com/firecracker-microvm/firecracker-containerd) - Runs containers as Firecracker microVMs under containerd. - [firecracker-microvm/firecracker](https://github.com/firecracker-microvm/firecracker) - Secure and fast microVMs for serverless sandbox workloads. - [wasmerio/wasmer](https://github.com/wasmerio/wasmer) - Fast and lightweight sandboxes for apps and AI agents. - [bytecodealliance/wasmtime](https://github.com/bytecodealliance/wasmtime) - Lightweight, fast, secure WebAssembly runtime for sandboxed code. - [kata-containers/kata-containers](https://github.com/kata-containers/kata-containers) - Lightweight VMs with container UX and VM-level isolation. - [containers/bubblewrap](https://github.com/containers/bubblewrap) - Unprivileged low-level sandboxing tool used by Flatpak. - [wazero/wazero](https://github.com/wazero/wazero) - Zero-dependency WebAssembly runtime for Go developers. - [nestybox/sysbox](https://github.com/nestybox/sysbox) - Next-generation runc running systemd, Docker, and Kubernetes securely. - [lima-vm/lima](https://github.com/lima-vm/lima) - Linux virtual machines focused on running containers as isolation. - [moby/moby](https://github.com/moby/moby) - Collaborative container platform project behind Docker for isolation. - [docker/compose](https://github.com/docker/compose) - Define and run multi-container applications with Docker. - [containerd/containerd](https://github.com/containerd/containerd) - Open and reliable container runtime for sandbox execution. - [docker/docker-py](https://github.com/docker/docker-py) - Python library for the Docker Engine API and container control. - [gitpod-io/gitpod](https://github.com/gitpod-io/gitpod) - On-demand cloud development environments for secure coding. - [coder/coder](https://github.com/coder/coder) - Secure remote development environments for developers and their agents. **Browser automation** - [browser-use/browser-use](https://github.com/browser-use/browser-use) - Let agents drive a real browser. - [microsoft/playwright](https://github.com/microsoft/playwright) - The browser automation library everything else wraps. - [browserbase/stagehand](https://github.com/browserbase/stagehand) - Natural-language browser automation built on Playwright. - [vercel-labs/agent-browser](https://github.com/vercel-labs/agent-browser) - Browser automation CLI for AI agents. - [browser-use/browser-harness](https://github.com/browser-use/browser-harness) - Browser Harness | Self-healing harness that enables LLMs to complete any task. - [nanobrowser/nanobrowser](https://github.com/nanobrowser/nanobrowser) - Open-source multi-agent Chrome extension for local-first AI web automation. - [h4ckf0r0day/obscura](https://github.com/h4ckf0r0day/obscura) - Headless browser purpose-built for agents and scraping. - [ChromeDevTools/chrome-devtools-mcp](https://github.com/ChromeDevTools/chrome-devtools-mcp) - Chrome DevTools for coding agents. - [puppeteer/puppeteer](https://github.com/puppeteer/puppeteer) - Headless Chrome and Firefox automation library for Node.js. - [browserless/browserless](https://github.com/browserless/browserless) - Deploy headless browsers in Docker for automation and scraping. - [lightpanda-io/browser](https://github.com/lightpanda-io/browser) - Fast headless browser designed for AI agents and automation. - [chromedp/chromedp](https://github.com/chromedp/chromedp) - Simple Go library to drive Chrome via the DevTools protocol. - [go-rod/rod](https://github.com/go-rod/rod) - Chrome DevTools Protocol driver for Go web automation and scraping. - [cyrus-and/chrome-remote-interface](https://github.com/cyrus-and/chrome-remote-interface) - Chrome Debugging Protocol interface for Node.js. - [steel-dev/steel-browser](https://github.com/steel-dev/steel-browser) - Batteries-included browser sandbox and API for AI agents. - [browser-use/web-ui](https://github.com/browser-use/web-ui) - Web interface for running browser-use AI agents in the browser. - [browseros-ai/BrowserOS](https://github.com/browseros-ai/BrowserOS) - Open source agentic browser with built-in AI agents. - [g1879/DrissionPage](https://github.com/g1879/DrissionPage) - Python web automation tool combining requests and browser control. - [microsoft/playwright-python](https://github.com/microsoft/playwright-python) - Browser automation for scraping and testing. - [autoscrape-labs/pydoll](https://github.com/autoscrape-labs/pydoll) - Python library that automates Chromium browsers without a WebDriver. - [Tencent/BrowserSkill](https://github.com/Tencent/BrowserSkill) - Lets agents use your real, logged-in browser through a CLI and extension. - [lexmount/moli](https://github.com/lexmount/moli) - Lightweight Rust headless browser built for AI agents. **Stealth & anti-detection** - [Kaliiiiiiiiii-Vinyzu/patchright](https://github.com/Kaliiiiiiiiii-Vinyzu/patchright) - Undetected Playwright fork that patches automation leaks to bypass bot detection. - [seleniumbase/SeleniumBase](https://github.com/seleniumbase/SeleniumBase) - Browser automation framework with stealth CDP mode, UC mode, and MCP server. - [lexiforest/curl_cffi](https://github.com/lexiforest/curl_cffi) - Python HTTP client that impersonates browser TLS, JA3, and HTTP/2 fingerprints. - [daijro/camoufox](https://github.com/daijro/camoufox) - Open-source anti-detect Firefox browser built for webscraping and AI agents. - [ultrafunkamsterdam/nodriver](https://github.com/ultrafunkamsterdam/nodriver) - Successor of Undetected-Chromedriver: fast async undetectable browser automation. - [omkarcloud/botasaurus](https://github.com/omkarcloud/botasaurus) - All-in-one framework to build undetectable scrapers with human-like browser. - [apify/impit](https://github.com/apify/impit) - Rust library for browser impersonation with fetch-like API. - [CloakHQ/CloakBrowser](https://github.com/CloakHQ/CloakBrowser) - Stealth Chromium with source-level fingerprint patches for bot-free automation. - [cdpdriver/zendriver](https://github.com/cdpdriver/zendriver) - Async-first undetectable web automation framework on Chrome DevTools Protocol. - [feder-cr/invisible_playwright](https://github.com/feder-cr/invisible_playwright) - Undetected Playwright with stealth-patched Firefox and anti-detect fingerprints. - [ultrafunkamsterdam/undetected-chromedriver](https://github.com/ultrafunkamsterdam/undetected-chromedriver) - Zero-config Selenium Chromedriver that passes bot mitigation systems. - [jo-inc/camofox-browser](https://github.com/jo-inc/camofox-browser) - Stealth headless browser for AI agents, drop-in for Puppeteer and Playwright. **Scraping & crawling** - [firecrawl/firecrawl](https://github.com/firecrawl/firecrawl) - Crawl and scrape any site into LLM-ready Markdown. - [unclecode/crawl4ai](https://github.com/unclecode/crawl4ai) - Open-source LLM-friendly crawler. - [scrapy/scrapy](https://github.com/scrapy/scrapy) - The battle-tested Python crawling framework. - [cporter202/scraping-apis-for-devs](https://github.com/cporter202/scraping-apis-for-devs) - Scraping APIs for developers. - [AhmadIbrahiim/Website-downloader](https://github.com/AhmadIbrahiim/Website-downloader) - Pull the complete source of any website. - [D4Vinci/Scrapling](https://github.com/D4Vinci/Scrapling) - An adaptive Web Scraping framework that handles everything from a single request to a. - [ScrapeGraphAI/Scrapegraph-ai](https://github.com/ScrapeGraphAI/Scrapegraph-ai) - Python scraper based on AI. - [apify/crawlee](https://github.com/apify/crawlee) - Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In. - [mishushakov/llm-scraper](https://github.com/mishushakov/llm-scraper) - Turn any webpage into structured data using LLMs with Zod schemas. - [projectdiscovery/katana](https://github.com/projectdiscovery/katana) - Next-generation crawling and spidering framework with headless mode. - [MontFerret/ferret](https://github.com/MontFerret/ferret) - Declarative data automation language and Go runtime for extraction workflows. - [scrapy-plugins/scrapy-playwright](https://github.com/scrapy-plugins/scrapy-playwright) - Scrapy download handler that renders pages with Playwright. - [rmax/scrapy-redis](https://github.com/rmax/scrapy-redis) - Redis-backed queue, scheduler, and dupefilter for distributed Scrapy crawls. - [scrapy/scrapyd](https://github.com/scrapy/scrapyd) - Service daemon that deploys, schedules, and runs Scrapy spiders. - [apify/crawlee-python](https://github.com/apify/crawlee-python) - Python web scraping and browser automation library for reliable crawlers. - [scrapinghub/scrapyrt](https://github.com/scrapinghub/scrapyrt) - HTTP API to run Scrapy spiders as on-demand scraping services. - [apify/proxy-chain](https://github.com/apify/proxy-chain) - Proxy server library with SSL, SOCKS5, and upstream proxy chaining. - [mitmproxy/mitmproxy](https://github.com/mitmproxy/mitmproxy) - Interactive TLS-capable intercepting HTTP proxy for developers. - [gocolly/colly](https://github.com/gocolly/colly) - Elegant Scraper and Crawler Framework for Golang. - [alirezamika/autoscraper](https://github.com/alirezamika/autoscraper) - Smart, automatic, fast, and lightweight web scraper for Python. - [MechanicalSoup/MechanicalSoup](https://github.com/MechanicalSoup/MechanicalSoup) - A Python library for automating interaction with websites. - [spider-rs/spider](https://github.com/spider-rs/spider) - Foundational low latency web data collecting in Rust. - [apache/stormcrawler](https://github.com/apache/stormcrawler) - Scalable web crawler built on Apache Storm. - [getmaxun/maxun](https://github.com/getmaxun/maxun) - Turns any website into a structured API for extraction and monitoring. - [BuilderIO/gpt-crawler](https://github.com/BuilderIO/gpt-crawler) - Crawl a site to generate knowledge files for a custom GPT. **HTTP & HTML parsing** - [aio-libs/aiohttp](https://github.com/aio-libs/aiohttp) - Asynchronous HTTP client/server framework for asyncio in Python. - [encode/httpx](https://github.com/encode/httpx) - Next-generation HTTP client for Python with sync/async and HTTP/2. - [psf/requests](https://github.com/psf/requests) - Simple, elegant HTTP library for Python scraping and automation. - [cheeriojs/cheerio](https://github.com/cheeriojs/cheerio) - Fast jQuery-like library for parsing and manipulating HTML and XML. - [jhy/jsoup](https://github.com/jhy/jsoup) - Java HTML parser for editing, cleaning, scraping, and XSS safety. - [AngleSharp/AngleSharp](https://github.com/AngleSharp/AngleSharp) - C# library parsing HTML5, SVG, and CSS into a W3C DOM. - [PuerkitoBio/goquery](https://github.com/PuerkitoBio/goquery) - jQuery-style HTML parsing and traversal library for Go. - [servo/html5ever](https://github.com/servo/html5ever) - High-performance browser-grade HTML5 parser in Rust. - [Nykakin/chompjs](https://github.com/Nykakin/chompjs) - Parses JavaScript objects from scraped pages into Python structures. - [gawel/pyquery](https://github.com/gawel/pyquery) - jQuery-like HTML parsing library for Python scraping pipelines. - [jsdom/jsdom](https://github.com/jsdom/jsdom) - JavaScript implementation of web standards for headless DOM scraping. - [lxml/lxml](https://github.com/lxml/lxml) - The lxml XML toolkit for Python. - [rushter/selectolax](https://github.com/rushter/selectolax) - Python binding to Modest and Lexbor engines. Fast HTML5 parser with CSS selectors for Python. - [scrapy/parsel](https://github.com/scrapy/parsel) - Parsel lets you extract data from XML/HTML documents using XPath or CSS selectors. **Browser testing frameworks** - [nightwatchjs/nightwatch](https://github.com/nightwatchjs/nightwatch) - Node.js end-to-end testing framework built on W3C WebDriver. - [SeleniumHQ/docker-selenium](https://github.com/SeleniumHQ/docker-selenium) - Run Selenium Grid with Chrome, Firefox, and Edge at scale. - [cypress-io/cypress](https://github.com/cypress-io/cypress) - Fast, easy, and reliable end-to-end browser testing framework. - [codeceptjs/CodeceptJS](https://github.com/codeceptjs/CodeceptJS) - End-to-end testing framework for Node.js over WebDriver and Playwright. - [webdriverio/webdriverio](https://github.com/webdriverio/webdriverio) - Next-gen browser and mobile automation test framework for Node.js. - [DevExpress/testcafe](https://github.com/DevExpress/testcafe) - Node.js tool to automate end-to-end web testing without WebDriver. ## Document Processing & Data Ingestion *Getting real-world files into a form agents can use.* **Document parsing & conversion** - [microsoft/markitdown](https://github.com/microsoft/markitdown) - Convert Office files, PDFs and more to Markdown. - [docling-project/docling](https://github.com/docling-project/docling) - IBM's document parser with layout-aware PDF, tables and OCR; best open option for RAG ingestion. - [Unstructured-IO/unstructured](https://github.com/Unstructured-IO/unstructured) - Partition and chunk any document type for LLM pipelines. - [opendatalab/MinerU](https://github.com/opendatalab/MinerU) - High-quality PDF-to-Markdown extraction, strong on scientific papers. - [datalab-to/marker](https://github.com/datalab-to/marker) - Fast PDF to Markdown with GPU acceleration. - [firecrawl/anydoc](https://github.com/firecrawl/anydoc) - Rust converter for Word, PowerPoint, Excel, EPUB, CSV and PDF to clean Markdown. - [allenai/olmocr](https://github.com/allenai/olmocr) - Toolkit for linearizing PDFs for LLM datasets/training. - [run-llama/liteparse](https://github.com/run-llama/liteparse) - Fast open source document parser from LlamaIndex. - [oomol-lab/pdf-craft](https://github.com/oomol-lab/pdf-craft) - Converts PDF files into other formats such as Markdown and EPUB. - [opendataloader-project/opendataloader-pdf](https://github.com/opendataloader-project/opendataloader-pdf) - PDF parser that outputs AI-ready structured data. - [breezedeus/Pix2Text](https://github.com/breezedeus/Pix2Text) - Open-source tool recognizing layouts, tables, formulas, and text as Markdown. - [deepdoctection/deepdoctection](https://github.com/deepdoctection/deepdoctection) - Document AI toolkit for layout analysis and information extraction. - [apache/tika](https://github.com/apache/tika) - Toolkit detecting and extracting metadata and text from 1000+ file types. - [mwilliamson/python-mammoth](https://github.com/mwilliamson/python-mammoth) - Convert Word documents (.docx files) to HTML. - [jgm/pandoc](https://github.com/jgm/pandoc) - Universal markup converter. - [firecrawl/pdf-inspector](https://github.com/firecrawl/pdf-inspector) - Rust library for PDF classification and fast text extraction. - [KOUISAmine/file-converter-tools](https://github.com/KOUISAmine/file-converter-tools) - Collection of file conversion utilities. - [gotenberg/gotenberg](https://github.com/gotenberg/gotenberg) - Docker API for converting documents to PDF. - [Kozea/WeasyPrint](https://github.com/Kozea/WeasyPrint) - Convert HTML and CSS to PDF. - [paperless-ngx/paperless-ngx](https://github.com/paperless-ngx/paperless-ngx) - Self-hosted document management with OCR. - [mayan-edms/Mayan-EDMS](https://github.com/mayan-edms/Mayan-EDMS) - Free open-source document management system with OCR and workflow support. - [xberg-io/xberg](https://github.com/xberg-io/xberg) - Rust-core document intelligence extracting text, tables, and metadata. **OCR** - [PaddlePaddle/PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) - Multilingual OCR toolkit. - [hiroi-sora/Umi-OCR](https://github.com/hiroi-sora/Umi-OCR) - OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片，PDF文档识别，排除水印/页眉页脚，扫描/生成二维码。内置多国语言库。. - [naptha/tesseract.js](https://github.com/naptha/tesseract.js) - Pure Javascript OCR for more than 100 Languages. - [ocrmypdf/OCRmyPDF](https://github.com/ocrmypdf/OCRmyPDF) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched. - [deepseek-ai/DeepSeek-OCR](https://github.com/deepseek-ai/DeepSeek-OCR) - Contexts Optical Compression. - [datalab-to/surya](https://github.com/datalab-to/surya) - High-accuracy open OCR model with layout, reading order, and table recognition in 90+ languages. - [tesseract-ocr/tesseract](https://github.com/tesseract-ocr/tesseract) - Tesseract Open Source OCR Engine (main repository). - [JaidedAI/EasyOCR](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 80+ supported languages and writing scripts. - [RapidAI/RapidOCR](https://github.com/RapidAI/RapidOCR) - Multi-language OCR toolkits based on ONNX Runtime, OpenVINO, and PyTorch. - [madmaze/pytesseract](https://github.com/madmaze/pytesseract) - A Python wrapper for Google Tesseract. - [mindee/doctr](https://github.com/mindee/doctr) - Deep-learning OCR library for document text recognition. - [sirfz/tesserocr](https://github.com/sirfz/tesserocr) - A Python wrapper for the tesseract-ocr API. - [manisandro/gImageReader](https://github.com/manisandro/gImageReader) - A Gtk/Qt front-end to tesseract-ocr. - [mittagessen/kraken](https://github.com/mittagessen/kraken) - OCR engine for all the languages. - [breezedeus/CnSTD](https://github.com/breezedeus/CnSTD) - PyTorch-based package for scene text detection and document layout analysis. - [Calamari-OCR/calamari](https://github.com/Calamari-OCR/calamari) - Line based ATR Engine based on OCRopy. - [google-research/pix2struct](https://github.com/google-research/pix2struct) - Google's vision-language model for parsing screenshots and documents into structured text. - [datalab-to/chandra](https://github.com/datalab-to/chandra) - OCR model for complex tables, forms and handwriting with full layout. - [bytedance/Dolphin](https://github.com/bytedance/Dolphin) - Document image parsing model using heterogeneous anchor prompting. - [zai-org/GLM-OCR](https://github.com/zai-org/GLM-OCR) - Accurate and fast multimodal OCR model for document understanding. - [studio-dots-ai/dots.ocr](https://github.com/studio-dots-ai/dots.ocr) - Multilingual document layout parsing inside a single vision-language model. - [getomni-ai/zerox](https://github.com/getomni-ai/zerox) - OCR and document extraction powered by vision models. - [robertknight/ocrs](https://github.com/robertknight/ocrs) - Rust library and CLI tool for fast OCR from images. - [dynobo/normcap](https://github.com/dynobo/normcap) - OCR powered screen-capture tool to capture information instead of images. **PDF libraries** - [Stirling-Tools/Stirling-PDF](https://github.com/Stirling-Tools/Stirling-PDF) - #1 PDF Application on GitHub that lets you edit PDFs on any device anywhere. - [pymupdf/PyMuPDF](https://github.com/pymupdf/PyMuPDF) - High-performance Python library for PDF data extraction and manipulation. - [jsvine/pdfplumber](https://github.com/jsvine/pdfplumber) - Plumb PDFs for detailed character, rectangle, and table extraction. - [pdfcpu/pdfcpu](https://github.com/pdfcpu/pdfcpu) - PDF tooling for Go and the command line. - [py-pdf/pypdf](https://github.com/py-pdf/pypdf) - Pure-Python PDF library for splitting, merging, cropping, and transforming pages. - [pdfminer/pdfminer.six](https://github.com/pdfminer/pdfminer.six) - Community maintained fork of pdfminer - we fathom PDF. - [qpdf/qpdf](https://github.com/qpdf/qpdf) - Qpdf: A content-preserving PDF document transformer. - [pikepdf/pikepdf](https://github.com/pikepdf/pikepdf) - A Python library for reading and writing PDF, powered by QPDF. - [camelot-dev/camelot](https://github.com/camelot-dev/camelot) - A Python library to extract tabular data from PDFs. - [mozilla/pdf.js](https://github.com/mozilla/pdf.js) - PDF rendering in the browser with JavaScript. - [0xabu/pdfannots](https://github.com/0xabu/pdfannots) - Extract annotations from PDF files. - [apache/pdfbox](https://github.com/apache/pdfbox) - Java library for working with PDF documents. - [LibrePDF/OpenPDF](https://github.com/LibrePDF/OpenPDF) - Open-source Java PDF library. - [PDFMathTranslate/PDFMathTranslate](https://github.com/PDFMathTranslate/PDFMathTranslate) - AI-powered PDF translation preserving layout; supports Google, DeepL, Ollama, OpenAI. **Structured extraction** - [enoch3712/ExtractThinker](https://github.com/enoch3712/ExtractThinker) - ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows. - [Zipstack/unstract](https://github.com/Zipstack/unstract) - LLM-driven extraction of structured data from unstructured documents. - [ucbepic/docetl](https://github.com/ucbepic/docetl) - A system for agentic LLM-powered data processing and ETL. - [Azure-Samples/azure-ai-content-understanding-python](https://github.com/Azure-Samples/azure-ai-content-understanding-python) - Azure Content Understanding samples. - [MicrosoftLearning/mslearn-ai-information-extraction](https://github.com/MicrosoftLearning/mslearn-ai-information-extraction) - Labs on AI-powered information extraction. - [run-llama/llama_cloud_services](https://github.com/run-llama/llama_cloud_services) - Knowledge Agents and Management in the Cloud. - [bhaskatripathi/pdfGPT](https://github.com/bhaskatripathi/pdfGPT) - PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The. - [instill-ai/instill-core](https://github.com/instill-ai/instill-core) - Instill Core is a full-stack AI infrastructure tool for data, model and pipeline. - [grobidOrg/grobid](https://github.com/grobidOrg/grobid) - Machine learning for extracting structured data from scholarly documents. - [emcf/thepipe](https://github.com/emcf/thepipe) - Extracts clean data from complex documents using vision-language models. **Chunking & data pipelines** - [feyninc/chonkie](https://github.com/feyninc/chonkie) - Lightweight ingestion library for fast, efficient, robust RAG pipelines. - [isaacus-dev/semchunk](https://github.com/isaacus-dev/semchunk) - Fast library for splitting text into semantically meaningful chunks. - [huggingface/datatrove](https://github.com/huggingface/datatrove) - Platform-agnostic pipeline blocks for large-scale data processing. - [allenai/dolma](https://github.com/allenai/dolma) - Data and tools for generating and inspecting OLMo pre-training data. - [ChenghaoMou/text-dedup](https://github.com/ChenghaoMou/text-dedup) - All-in-one text de-duplication. - [treeverse/dvc](https://github.com/treeverse/dvc) - Data Versioning and ML Experiments. - [fsspec/filesystem_spec](https://github.com/fsspec/filesystem_spec) - Unified interface to local and remote filesystems. - [piskvorky/smart_open](https://github.com/piskvorky/smart_open) - Stream large files from S3, GCS and HDFS. - [google/magika](https://github.com/google/magika) - AI-powered file-type detection. - [kurtmckee/feedparser](https://github.com/kurtmckee/feedparser) - Universal feed parser for RSS and Atom. - [feyninc/chonkiejs](https://github.com/feyninc/chonkiejs) - Type-friendly, lightweight, fast text-chunking library for TypeScript. **Media ingestion** - [yt-dlp/yt-dlp](https://github.com/yt-dlp/yt-dlp) - Download videos from YouTube and 1000+ sites. - [python-pillow/Pillow](https://github.com/python-pillow/Pillow) - Imaging library for Python. - [FFmpeg/FFmpeg](https://github.com/FFmpeg/FFmpeg) - The standard toolkit for audio and video processing. - [Zulko/moviepy](https://github.com/Zulko/moviepy) - Video editing with Python. **Web content extraction** - [jina-ai/reader](https://github.com/jina-ai/reader) - Converts any URL into LLM-friendly text with a simple URL prefix. - [AndyTheFactory/newspaper4k](https://github.com/AndyTheFactory/newspaper4k) - News article extraction with NLP: titles, authors, dates, summaries. - [adbar/htmldate](https://github.com/adbar/htmldate) - Fast and robust date extraction from web pages, Python or CLI. - [codelucas/newspaper](https://github.com/codelucas/newspaper) - News article full-text and metadata extraction for Python 3. - [goose3/goose3](https://github.com/goose3/goose3) - A Python 3 compatible version of goose http://goose3.readthedocs.io/en/latest/index.html. - [mozilla/readability](https://github.com/mozilla/readability) - A standalone version of the readability lib. - [miso-belica/jusText](https://github.com/miso-belica/jusText) - Heuristic based boilerplate removal tool. - [adbar/trafilatura](https://github.com/adbar/trafilatura) - Python and CLI tool for web crawling, scraping, and text extraction. - [matthewwithanm/python-markdownify](https://github.com/matthewwithanm/python-markdownify) - Convert HTML to Markdown. - [Alir3z4/html2text](https://github.com/Alir3z4/html2text) - Convert HTML to Markdown-formatted text. - [fhamborg/news-please](https://github.com/fhamborg/news-please) - News-please - an integrated web crawler and information extractor for news that just works. - [scrapinghub/extruct](https://github.com/scrapinghub/extruct) - Extract embedded metadata from HTML markup. - [weblyzard/inscriptis](https://github.com/weblyzard/inscriptis) - HTML to text converter preserving layout semantics. **Web archiving** - [ArchiveBox/ArchiveBox](https://github.com/ArchiveBox/ArchiveBox) - Self-hosted web archiving: saves pages as HTML, PDFs, media, and WARC. - [gildas-lormeau/SingleFile](https://github.com/gildas-lormeau/SingleFile) - Saves a complete web page as a single self-contained HTML file. - [webrecorder/browsertrix-crawler](https://github.com/webrecorder/browsertrix-crawler) - High-fidelity browser-based web archiving crawler in Docker. - [webrecorder/warcio](https://github.com/webrecorder/warcio) - Streaming WARC/ARC library for fast web archive IO. ## Workflow Automation *No-code and code-first automation with AI steps — the glue between your agents and everything else.* **AI workflow platforms** - [n8n-io/n8n](https://github.com/n8n-io/n8n) - Fair-code workflow automation with native AI agent nodes. - [activepieces/activepieces](https://github.com/activepieces/activepieces) - Open-source automation with ~400 MCP servers built in. - [windmill-labs/windmill](https://github.com/windmill-labs/windmill) - Open-source developer platform for scripts, workflows and UIs. - [kestra-io/kestra](https://github.com/kestra-io/kestra) - Declarative orchestration platform with AI steps. - [automatisch/automatisch](https://github.com/automatisch/automatisch) - Open-source Zapier alternative. - [huginn/huginn](https://github.com/huginn/huginn) - Agents that monitor and act on your behalf. - [simstudioai/sim](https://github.com/simstudioai/sim) - Collaborative workspace to build, deploy, and monitor AI agents. - [1Panel-dev/MaxKB](https://github.com/1Panel-dev/MaxKB) - Open-source platform for building enterprise-grade AI agents. - [PipedreamHQ/pipedream](https://github.com/PipedreamHQ/pipedream) - Connect APIs remarkably fast with event-driven workflows. - [PySpur-Dev/pyspur](https://github.com/PySpur-Dev/pyspur) - Visual playground for building and iterating agentic workflows. - [Ironclad/rivet](https://github.com/Ironclad/rivet) - Open-source visual AI programming environment and TS library. - [bytechefhq/bytechef](https://github.com/bytechefhq/bytechef) - Open-source AI agents and workflow automation platform. - [bytedance/flowgram.ai](https://github.com/bytedance/flowgram.ai) - Extensible workflow development framework with built-in canvas and forms. - [node-red/node-red](https://github.com/node-red/node-red) - Low-code visual programming for event-driven applications. - [AutomaApp/automa](https://github.com/AutomaApp/automa) - Browser extension that automates the web with visual blocks. - [baptisteArno/typebot.io](https://github.com/baptisteArno/typebot.io) - Self-hostable visual builder for conversational chatbots. - [browser-use/workflow-use](https://github.com/browser-use/workflow-use) - Create and run deterministic browser workflows from recorded actions. - [oculix-org/SikuliX1](https://github.com/oculix-org/SikuliX1) - Automate GUIs with image-recognition-based scripting. **n8n templates & tooling** - [Zie619/n8n-workflows](https://github.com/Zie619/n8n-workflows) - Large searchable archive of n8n workflows. - [wassupjay/n8n-free-templates](https://github.com/wassupjay/n8n-free-templates) - 200+ plug-and-play n8n templates with AI steps. - [EtienneLescot/n8n-as-code](https://github.com/EtienneLescot/n8n-as-code) - Gives AI agents n8n node schemas and templates to build workflows as code. - [breaking-brake/cc-wf-studio](https://github.com/breaking-brake/cc-wf-studio) - Visual workflow editor for Claude Code. **Durable workflow engines** - [triggerdotdev/trigger.dev](https://github.com/triggerdotdev/trigger.dev) - Open-source platform for durable TypeScript AI agent tasks and workflows. - [hatchet-dev/hatchet](https://github.com/hatchet-dev/hatchet) - Postgres-backed orchestration engine for durable tasks, DAGs, and AI agents. - [dapr/dapr](https://github.com/dapr/dapr) - Portable runtime for distributed apps with workflow orchestration. - [cadence-workflow/cadence](https://github.com/cadence-workflow/cadence) - Distributed, durable orchestration for long-running workflows. - [Azure/durabletask](https://github.com/Azure/durabletask) - Durable Task Framework for long-running .NET orchestrations. - [dbos-inc/dbos-transact-py](https://github.com/dbos-inc/dbos-transact-py) - Database-backed durable workflows for Python. - [golemcloud/golem](https://github.com/golemcloud/golem) - Agent-native platform for durable AI agents and services. - [Azure/azure-functions-durable-extension](https://github.com/Azure/azure-functions-durable-extension) - Durable Functions extension for Azure Functions. - [littlehorse-enterprises/littlehorse](https://github.com/littlehorse-enterprises/littlehorse) - Business-as-code platform for microservice workflows. - [infiniticio/infinitic](https://github.com/infiniticio/infinitic) - Orchestration framework for durable backend processes. - [dotnet/orleans](https://github.com/dotnet/orleans) - Cloud-native .NET framework with virtual actors for workflows. **Data pipeline orchestration** - [dagster-io/dagster](https://github.com/dagster-io/dagster) - Orchestration platform for data, ML, and long-running agent pipelines. - [flyteorg/flyte](https://github.com/flyteorg/flyte) - Dynamic, resilient orchestration for data, models, and compute. - [PrefectHQ/prefect](https://github.com/PrefectHQ/prefect) - Workflow orchestration for resilient data and agent pipelines. - [apache/hamilton](https://github.com/apache/hamilton) - Define testable, modular dataflows and agent pipelines in Python. - [spotify/luigi](https://github.com/spotify/luigi) - Python module for building complex pipelines of batch jobs. - [dbt-labs/dbt](https://github.com/dbt-labs/dbt) - Transform data in your warehouse with SQL-based DAG pipelines. - [apache/dolphinscheduler](https://github.com/apache/dolphinscheduler) - Modern distributed data orchestration platform. - [kedro-org/kedro](https://github.com/kedro-org/kedro) - Toolbox for production-ready, reproducible data science pipelines. - [mage-ai/mage-ai](https://github.com/mage-ai/mage-ai) - Build, run, and manage data pipelines with a notebook UI. - [apache/nifi](https://github.com/apache/nifi) - Data integration platform with visual flow-based programming. - [biolab/orange3](https://github.com/biolab/orange3) - Visual programming for interactive data analysis and ML. - [nextflow-io/nextflow](https://github.com/nextflow-io/nextflow) - DSL for data-driven computational pipelines. - [Netflix/maestro](https://github.com/Netflix/maestro) - Netflix's workflow orchestrator for data pipelines. - [SQLMesh/sqlmesh](https://github.com/SQLMesh/sqlmesh) - Scalable data transformation with backwards-compatible pipelines. - [snakemake/snakemake](https://github.com/snakemake/snakemake) - Workflow management system for reproducible data analysis. - [apache/hop](https://github.com/apache/hop) - Visual data orchestration platform for pipelines. - [broadinstitute/cromwell](https://github.com/broadinstitute/cromwell) - Scientific workflow engine for simple, scalable pipelines. - [aiidateam/aiida-core](https://github.com/aiidateam/aiida-core) - Workflow engine for computational science and provenance. - [arvados/arvados](https://github.com/arvados/arvados) - Platform for managing biomedical big-data pipelines. - [dagucloud/dagu](https://github.com/dagucloud/dagu) - Self-hostable workflow orchestrator with a web UI and DAGs. - [apache/camel](https://github.com/apache/camel) - Open-source integration framework with 350+ connectors. **Task queues & schedulers** - [celery/celery](https://github.com/celery/celery) - Distributed task queue for Python with scheduling and retries. - [OptimalBits/bull](https://github.com/OptimalBits/bull) - Premium Redis-backed queue for distributed jobs in Node.js. - [hibiken/asynq](https://github.com/hibiken/asynq) - Simple, reliable, and efficient distributed task queue in Go. - [sidekiq/sidekiq](https://github.com/sidekiq/sidekiq) - Simple, efficient background processing for Ruby. - [rq/rq](https://github.com/rq/rq) - Simple Redis-backed job queues for Python. - [healthchecks/healthchecks](https://github.com/healthchecks/healthchecks) - Monitor cron jobs and background tasks with dead-man switches. - [agenda/agenda](https://github.com/agenda/agenda) - Lightweight MongoDB-backed job scheduling for Node.js. - [HangfireIO/Hangfire](https://github.com/HangfireIO/Hangfire) - Easy background job processing for .NET applications. - [resque/resque](https://github.com/resque/resque) - Redis-backed Ruby library for background jobs and queues. - [taskforcesh/bullmq](https://github.com/taskforcesh/bullmq) - Message queue and batch processing for Node.js and Python. - [RichardKnop/machinery](https://github.com/RichardKnop/machinery) - Asynchronous task queue for Go with distributed messaging. - [quartz-scheduler/quartz](https://github.com/quartz-scheduler/quartz) - Feature-rich job scheduling library for Java. - [contribsys/faktory](https://github.com/contribsys/faktory) - Language-agnostic persistent background job server. - [coleifer/huey](https://github.com/coleifer/huey) - A little task queue for Python backed by Redis. - [jhuckaby/Cronicle](https://github.com/jhuckaby/Cronicle) - Distributed task scheduler and runner with a web UI. - [riverqueue/river](https://github.com/riverqueue/river) - Fast, reliable background jobs for Go on Postgres. - [Bogdanp/dramatiq](https://github.com/Bogdanp/dramatiq) - Fast and reliable background task processing for Python 3. - [timgit/pg-boss](https://github.com/timgit/pg-boss) - Queue jobs in Postgres from Node.js like a boss. - [bee-queue/bee-queue](https://github.com/bee-queue/bee-queue) - Simple, fast, robust Redis-backed task queue for Node.js. - [oban-bg/oban](https://github.com/oban-bg/oban) - Robust job processing in Elixir backed by Postgres. - [mcuadros/ofelia](https://github.com/mcuadros/ofelia) - Docker job scheduler, like crontab for containers. - [citusdata/pg_cron](https://github.com/citusdata/pg_cron) - Run periodic jobs directly inside PostgreSQL. - [python-arq/arq](https://github.com/python-arq/arq) - Fast async job queuing and RPC in Python with Redis. - [bensheldon/good_job](https://github.com/bensheldon/good_job) - Multithreaded Postgres-based Active Job backend for Rails. - [quantum-elixir/quantum-core](https://github.com/quantum-elixir/quantum-core) - Cron-like job scheduler for Elixir. - [rails/solid_queue](https://github.com/rails/solid_queue) - Database-backed Active Job backend for Ruby on Rails. - [graphile/worker](https://github.com/graphile/worker) - High-performance Node.js/Postgres job queue. - [taskiq-python/taskiq](https://github.com/taskiq-python/taskiq) - Distributed async task queue for Python. - [cybertec-postgresql/pg_timetable](https://github.com/cybertec-postgresql/pg_timetable) - Advanced cron-style scheduling for PostgreSQL. - [procrastinate-org/procrastinate](https://github.com/procrastinate-org/procrastinate) - Postgres-based task queue for Python. - [gearman/gearmand](https://github.com/gearman/gearmand) - Application framework to farm out work to machines. - [rundeck/rundeck](https://github.com/rundeck/rundeck) - Self-service operations automation and job scheduling. - [MassTransit/MassTransit](https://github.com/MassTransit/MassTransit) - Distributed application framework and message bus for .NET. - [rebus-org/Rebus](https://github.com/rebus-org/Rebus) - Simple, lean service bus implementation for .NET. - [hashicorp/nomad](https://github.com/hashicorp/nomad) - Flexible workload orchestrator for containers and batch jobs. **BPM & process engines** - [Activiti/Activiti](https://github.com/Activiti/Activiti) - Lightweight workflow and BPM platform for Java. - [flowable/flowable-engine](https://github.com/flowable/flowable-engine) - Compact, efficient workflow and BPM platform for Java. - [elsa-workflows/elsa-core](https://github.com/elsa-workflows/elsa-core) - Workflow engine for .NET with a visual designer. - [camunda/camunda](https://github.com/camunda/camunda) - Process orchestration framework for BPMN workflows at scale. - [kiegroup/jbpm](https://github.com/kiegroup/jbpm) - Business process management suite for Java. - [aelassas/wexflow](https://github.com/aelassas/wexflow) - Workflow automation engine for .NET. - [ProcessMaker/processmaker](https://github.com/ProcessMaker/processmaker) - BPM core for process-based applications. - [operaton/operaton](https://github.com/operaton/operaton) - BPMN process automation for everyone. - [imixs/imixs-workflow](https://github.com/imixs/imixs-workflow) - Open-source BPM technology for human-centric workflows. - [bonitasoft/bonita-engine](https://github.com/bonitasoft/bonita-engine) - Engine to deploy and manage process-based applications. - [cibseven/cibseven](https://github.com/cibseven/cibseven) - Community BPMN platform forked from Camunda 7. - [statelyai/xstate](https://github.com/statelyai/xstate) - State machines, statecharts, and actors for complex app logic. **CI/CD & event automation** - [nektos/act](https://github.com/nektos/act) - Run your GitHub Actions workflows locally for fast testing. - [harness/harness](https://github.com/harness/harness) - Open-source end-to-end developer platform with CI/CD pipelines. - [jenkinsci/jenkins](https://github.com/jenkinsci/jenkins) - Extensible automation server for building and deploying software. - [dagger/dagger](https://github.com/dagger/dagger) - Automation engine to build, test, and ship any codebase anywhere. - [tektoncd/pipeline](https://github.com/tektoncd/pipeline) - Cloud-native CI/CD pipeline framework for Kubernetes. - [StackStorm/st2](https://github.com/StackStorm/st2) - Event-driven automation for auto-remediation and ChatOps. - [argoproj/argo-events](https://github.com/argoproj/argo-events) - Event-driven automation framework for Kubernetes. - [knative/eventing](https://github.com/knative/eventing) - Event-driven application platform for Kubernetes. ## Model Gateways & Routing *One endpoint, many providers, automatic fallback.* **AI gateways** - [BerriAI/litellm](https://github.com/BerriAI/litellm) - Call 100+ LLM APIs in OpenAI format with cost tracking and guardrails. - [maximhq/bifrost](https://github.com/maximhq/bifrost) - Enterprise AI gateway with adaptive load balancing. - [Portkey-AI/gateway](https://github.com/Portkey-AI/gateway) - Blazing-fast gateway with routing, caching and guardrails. - [diegosouzapw/OmniRoute](https://github.com/diegosouzapw/OmniRoute) - MIT gateway over 350+ providers with quota-aware fallback and token compression. - [QuantumNous/new-api](https://github.com/QuantumNous/new-api) - A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs. - [songquanpeng/one-api](https://github.com/songquanpeng/one-api) - LLM API 管理 & 分发系统，支持 OpenAI、Azure、Anthropic Claude、Google. - [mnfst/llm-gateway](https://github.com/mnfst/llm-gateway) - Connect Your Agents And Harnesses With Any Provider. - [algorithmicsuperintelligence/optillm](https://github.com/algorithmicsuperintelligence/optillm) - Optimizing inference proxy for LLMs. - [theopenco/llmgateway](https://github.com/theopenco/llmgateway) - Route, manage, and analyze LLM requests across providers through one unified API. - [modelbus/one-api-pro](https://github.com/modelbus/one-api-pro) - Enterprise-grade AI API gateway built on one-api with billing and clustering. - [Nya-Foundation/NyaProxy](https://github.com/Nya-Foundation/NyaProxy) - Central manager for AI and web API access keys with reliability and security controls. - [Helicone/ai-gateway](https://github.com/Helicone/ai-gateway) - Open-source AI gateway for routing LLM traffic with observability built in. - [Mirrowel/LLM-API-Key-Proxy](https://github.com/Mirrowel/LLM-API-Key-Proxy) - Universal LLM gateway with OpenAI/Anthropic-compatible endpoints and load balancing. - [adaline/gateway](https://github.com/adaline/gateway) - Fully local SDK providing one unified interface for calling 200+ LLMs. - [labring/aiproxy](https://github.com/labring/aiproxy) - High-performance AI gateway with multi-channel management, rate limiting, and monitoring. - [TokenFlux/TokenRouter](https://github.com/TokenFlux/TokenRouter) - Next-generation LLM gateway with token-aware routing. - [OctaFuse/octafuse-gateway](https://github.com/OctaFuse/octafuse-gateway) - Self-hosted AI gateway unifying providers and keys with routing and budget controls. - [ferro-labs/ai-gateway](https://github.com/ferro-labs/ai-gateway) - Unified AI gateway for 30+ LLMs with caching, guardrails, and cost controls. - [alexazhou/gt_ai_gateway](https://github.com/alexazhou/gt_ai_gateway) - Lightweight high-performance AI gateway with protocol translation and caching. - [LeenHawk/gproxy](https://github.com/LeenHawk/gproxy) - Rust multi-channel LLM proxy with OpenAI/Claude/Gemini-style APIs and admin console. - [inference-gateway/inference-gateway](https://github.com/inference-gateway/inference-gateway) - Cloud-native gateway unifying local and cloud LLM providers behind one API. - [msmarkgu/RelayFreeLLM](https://github.com/msmarkgu/RelayFreeLLM) - REST API routing user prompts to various AI model providers. - [arcships/aimux](https://github.com/arcships/aimux) - Rust LLM access layer exposing one API across 325 AI providers. - [yolorouter/yolorouter](https://github.com/yolorouter/yolorouter) - Self-hosted OpenAI-compatible gateway with multi-provider failover and key rotation. - [Nayjest/lm-proxy](https://github.com/Nayjest/lm-proxy) - OpenAI-compatible HTTP LLM proxy and gateway for multi-provider inference. - [rxliuli/llm-api-proxy](https://github.com/rxliuli/llm-api-proxy) - OpenAI-compatible proxy for multiple LLM models deployable to edge runtimes. - [mydisha/keirouter](https://github.com/mydisha/keirouter) - Blazing-fast self-hostable AI gateway with intelligent routing. - [Felix-au/OmniKey-AI-Unified-Key-Manager](https://github.com/Felix-au/OmniKey-AI-Unified-Key-Manager) - Self-hosted LLM proxy and failover gateway with encrypted credential storage. - [nidjbs/go-ai-gateway](https://github.com/nidjbs/go-ai-gateway) - Lightweight AI gateway written in Go. - [MoyuFamily/ai-relay](https://github.com/MoyuFamily/ai-relay) - Serverless AI API gateway for Vercel and Cloudflare with multi-provider fallback chains. - [Shaf2665/Hermes-router](https://github.com/Shaf2665/Hermes-router) - OpenAI/Anthropic-compatible router with provider failover, key rotation, and caching. - [omarluq/cc-relay](https://github.com/omarluq/cc-relay) - Blazing-fast LLM API gateway written in Go. - [azrtydxb/Fastllm-proxy](https://github.com/azrtydxb/Fastllm-proxy) - Lowest-overhead production LLM router: one OpenAI-compatible endpoint for 80 providers. - [openziti/llm-gateway](https://github.com/openziti/llm-gateway) - Zero-trust LLM gateway with semantic routing and identity-based access control. - [Noveum/ai-gateway](https://github.com/Noveum/ai-gateway) - Low-latency provider-agnostic AI gateway for demanding AI workflows. - [Inebrio/Routerly](https://github.com/Inebrio/Routerly) - Self-hosted LLM gateway routing across providers with cost tracking and budgets. - [greynewell/infermux](https://github.com/greynewell/infermux) - Lightweight multiplexer routing inference requests across providers. - [mxyhi/token_proxy](https://github.com/mxyhi/token_proxy) - Local AI API gateway with token accounting, load balancing, and one-click setup. - [ubiomni/mrouter](https://github.com/ubiomni/mrouter) - Terminal-driven router: one endpoint for every model with monitoring and failover. - [zhengqia/ModelHub](https://github.com/zhengqia/ModelHub) - Smart routing across 1000+ global model endpoints for cheaper, faster access. - [mylxsw/llm-gateway](https://github.com/mylxsw/llm-gateway) - Enterprise-grade LLM gateway with intelligent routing, failover, and a dashboard. - [1Panel-dev/1Panel-Gateway](https://github.com/1Panel-dev/1Panel-Gateway) - Enterprise AI gateway with unified access, smart routing, and compliance auditing. - [agentsmith-project/llm-universal-proxy](https://github.com/agentsmith-project/llm-universal-proxy) - Universal proxy unifying access to multiple LLM providers. - [mibgb65-cloud/OmniProxy](https://github.com/mibgb65-cloud/OmniProxy) - Local token scheduler and quota monitor doubling as a desktop proxy gateway. - [ziozzang/llm-toolcall-proxy](https://github.com/ziozzang/llm-toolcall-proxy) - General-purpose proxy normalizing tool-calling APIs across providers. - [flowapi-net/flow-llm-router](https://github.com/flowapi-net/flow-llm-router) - Token-saving LLM router with automatic provider selection. - [sxueck/llm-gateway](https://github.com/sxueck/llm-gateway) - Lightweight distributed LLM gateway with a web UI for model management. - [MiXaiLL76/auto_ai_router](https://github.com/MiXaiLL76/auto_ai_router) - High-performance LLM proxy router with load balancing and rate limiting. - [muxi-ai/onellm](https://github.com/muxi-ai/onellm) - Unified interface for hundreds of LLMs with caching and fallback mechanisms. - [VonSdite/LLM_Proxy](https://github.com/VonSdite/LLM_Proxy) - Unified LLM proxy with custom request and response transformation. - [yatesdr/go-llm-proxy](https://github.com/yatesdr/go-llm-proxy) - Lightweight Go proxy for LLM API traffic. - [PriceNing/LLM-AIO-Gateway](https://github.com/PriceNing/LLM-AIO-Gateway) - Unified OpenAI/Anthropic/Responses gateway with vision injection for text-only models. - [cniu6/anyproxyai](https://github.com/cniu6/anyproxyai) - Universal AI API gateway GUI for routing and converting multiple provider APIs. - [Instawork/llm-proxy](https://github.com/Instawork/llm-proxy) - Go-based LLM proxy for cost tracking and rate limiting. - [ZiChuanLan/meta-gateway](https://github.com/ZiChuanLan/meta-gateway) - OpenAI-compatible multi-channel LLM relay gateway with admin console. - [obirler/LLMProxy](https://github.com/obirler/LLMProxy) - Intelligent backend routing proxy for large language models. - [fabiojbg/LLMApiGateway](https://github.com/fabiojbg/LLMApiGateway) - Personal LLM gateway with retries, model sequencing, and fault tolerance. - [8monkey-ai/hebo-gateway](https://github.com/8monkey-ai/hebo-gateway) - AI gateway framework for full control over models, routing, and lifecycle. - [shenald-dev/one-api](https://github.com/shenald-dev/one-api) - Single-binary OpenAI-compatible gateway for 20+ LLM providers. - [elixir-vibe/llm_proxy](https://github.com/elixir-vibe/llm_proxy) - Elixir-native LiteLLM alternative for multi-provider routing and fallbacks. - [llm-d/llm-d-batch-gateway](https://github.com/llm-d/llm-d-batch-gateway) - Standalone backend-agnostic OpenAI-compatible batch API processing engine. - [Lincoln-cn/JAiRouter](https://github.com/Lincoln-cn/JAiRouter) - Production AI model gateway with load balancing, circuit breaking, and failover. - [lunargate-ai/gateway](https://github.com/lunargate-ai/gateway) - High-performance self-hosted OpenAI-compatible AI gateway with retries. - [AlphaBitCore/nexus-gateway](https://github.com/AlphaBitCore/nexus-gateway) - Enterprise AI traffic gateway with compliance, semantic cache, and quotas. - [fridge1/llmgateway](https://github.com/fridge1/llmgateway) - Unified LLM API gateway and commercial platform with billing and admin console. - [mrexodia/logging-proxy](https://github.com/mrexodia/logging-proxy) - High-performance reverse proxy for logging LLM traces. - [vimalinx/LocalRouter](https://github.com/vimalinx/LocalRouter) - Loopback-first universal API gateway for local AI agents. - [mlpal-ai/mlpal-gateway](https://github.com/mlpal-ai/mlpal-gateway) - Open-source AI gateway with per-request cost metering and per-key budgets. - [Kong/kong](https://github.com/Kong/kong) - Cloud-native API gateway with AI proxy, routing and rate limiting for LLM traffic. - [apache/apisix](https://github.com/apache/apisix) - Cloud-native API gateway with AI plugins for LLM proxying, load balancing and rate limits. - [katanemo/plano](https://github.com/katanemo/plano) - AI-native proxy and data plane with smart LLM routing and observability for agentic apps. - [ENTERPILOT/GoModel](https://github.com/ENTERPILOT/GoModel) - Go AI gateway exposing a unified OpenAI-compatible API over many model providers. - [APIParkLab/APIPark](https://github.com/APIParkLab/APIPark) - High-performance AI and API gateway for LLM API management and distribution. - [bestruirui/octopus](https://github.com/bestruirui/octopus) - Self-hosted LLM API aggregation gateway that unifies many providers behind one endpoint. - [coaidev/coai](https://github.com/coaidev/coai) - Multi-tenant AI gateway and chat platform with admin, billing and model channel management. - [astaxie/TokenHub](https://github.com/astaxie/TokenHub) - Private enterprise gateway that unifies AI model access, quotas and governance. - [AlephantAI/AIephant-AI-Agent-Gateway](https://github.com/AlephantAI/AIephant-AI-Agent-Gateway) - AI agent gateway for routing, tracking, and controlling LLM usage across agents. - [RelayPlane/proxy](https://github.com/RelayPlane/proxy) - Local-first LLM proxy metering agent-run costs and stopping runaway spend. - [blue-pen5805/llm-proxy-on-cloudflare-workers](https://github.com/blue-pen5805/llm-proxy-on-cloudflare-workers) - Serverless multi-LLM proxy built on Cloudflare Workers. - [QImageLab/cf-proxy](https://github.com/QImageLab/cf-proxy) - Zero-config reverse proxy on Cloudflare Workers for AI API traffic. - [PicoMLX/PicoAIProxy](https://github.com/PicoMLX/PicoAIProxy) - Reverse proxy for OpenAI and Anthropic written in server-side Swift. - [justjavac/openai-proxy](https://github.com/justjavac/openai-proxy) - Lightweight Go proxy for reaching OpenAI and ChatGPT APIs. - [vkeenan/ai-gateway](https://github.com/vkeenan/ai-gateway) - AI gateway integrating OpenAI models into Salesforce for text generation. - [pjq/sap-ai-core-llm-proxy](https://github.com/pjq/sap-ai-core-llm-proxy) - OpenAI-compatible LLM proxy for SAP AI Core deployments. - [invariantlabs-ai/invariant-gateway](https://github.com/invariantlabs-ai/invariant-gateway) - LLM proxy for observing and debugging what AI agents are doing. - [Compresr-ai/Context-Gateway](https://github.com/Compresr-ai/Context-Gateway) - Agentic proxy adding history compaction and context optimization to agent workflows. - [MartialBE/one-hub](https://github.com/MartialBE/one-hub) - OpenAI API management and distribution fork. - [theagentrouter/agent-router](https://github.com/theagentrouter/agent-router) - Envoy-powered control plane for AI and agent traffic, formerly Envoy AI Gateway. - [kgateway-dev/kgateway](https://github.com/kgateway-dev/kgateway) - Cloud-native API gateway and AI gateway built on Envoy. - [higress-group/higress](https://github.com/higress-group/higress) - AI-native API gateway with LLM routing, caching, and guardrails. - [tbphp/gpt-load](https://github.com/tbphp/gpt-load) - Self-hosted AI gateway with multi-key scheduling, failover, and usage logs. - [Veloera/Veloera](https://github.com/Veloera/Veloera) - Self-hosted AI gateway for unified multi-provider LLM API management. - [zdjts/llm_proxy](https://github.com/zdjts/llm_proxy) - Self-hosted OpenAI-compatible LLM gateway in Rust with failover. - [victornguyen247/LLM-GateWay](https://github.com/victornguyen247/LLM-GateWay) - Go API gateway with rate limiting, caching, and guardrails. - [labiium/routiium](https://github.com/labiium/routiium) - Self-hosted LLM reverse proxy with routing, judging, and cost tracking. - [mindfulcto-labs/apiloom-ce](https://github.com/mindfulcto-labs/apiloom-ce) - High-performance Go API gateway with a unified LLM proxy. - [TonicAI/distillery](https://github.com/TonicAI/distillery) - Open-source multi-provider AI gateway proxy with traffic capture and redaction. - [Continuum-AI-Corp/OrcaRouter-Lite](https://github.com/Continuum-AI-Corp/OrcaRouter-Lite) - Self-hosted OpenAI-compatible LLM router with BYOK and a managed safety net. - [experientiallabs/experiential](https://github.com/experientiallabs/experiential) - Zero-markup gateway for BYOK, self-hosted and marketplace models. **Smart model routers** - [BlockRunAI/ClawRouter](https://github.com/BlockRunAI/ClawRouter) - The agent-native LLM router for autonomous agents. Every frontier model behind one wallet, <1ms. - [vllm-project/semantic-router](https://github.com/vllm-project/semantic-router) - Programmable mixture-of-models router for heterogeneous LLM inference on vLLM. - [weave-os/router](https://github.com/weave-os/router) - Model router for agentic systems routing each prompt to the right model in under 50ms. - [ulab-uiuc/LLMRouter](https://github.com/ulab-uiuc/LLMRouter) - Open-source library for routing LLM requests across models and providers. - [LanceZPF/agent-as-a-router](https://github.com/LanceZPF/agent-as-a-router) - Reference implementations of Agent-as-a-Router for agentic model routing in coding tasks. - [NadirRouter/NadirClaw](https://github.com/NadirRouter/NadirClaw) - LLM router and cost optimizer routing simple prompts to cheap models automatically. - [gargpratyush/jev-router](https://github.com/gargpratyush/jev-router) - Routes Claude Code tasks to the cheapest capable model using Jev. - [asdecided/WayfinderRouter](https://github.com/asdecided/WayfinderRouter) - CLI tool for deterministic routing of queries between local and hosted LLMs. - [llm-d/llm-d-router](https://github.com/llm-d/llm-d-router) - Intelligent entry point routing inference requests across the llm-d serving stack. - [harrrshall/tinyrouter](https://github.com/harrrshall/tinyrouter) - Tiny 10K-parameter router learning which open-source model should answer each query. - [BillionsBobby/JevRouter](https://github.com/BillionsBobby/JevRouter) - Lightweight Jev-powered router for models, tools, and subagents. - [bitrouter/bitrouter](https://github.com/bitrouter/bitrouter) - Minimal interpretable model router that learns and adapts to agent workflows. - [peva3/SmarterRouter](https://github.com/peva3/SmarterRouter) - Intelligent LLM gateway and VRAM-aware router for Ollama, llama.cpp, and OpenAI. - [Francis1998/nexus-llm-router](https://github.com/Francis1998/nexus-llm-router) - Multi-LLM router with task-aware routing, cost optimization, and safety controls. - [microsoft/best-route-llm](https://github.com/microsoft/best-route-llm) - Multi-sampling LLM query router cutting costs up to 60% with minimal quality loss. - [xorbitsai/xrouter-llm](https://github.com/xorbitsai/xrouter-llm) - Prompt-aware router predicting which model completes each request and picking the cheapest. - [izzoa/polyrouter](https://github.com/izzoa/polyrouter) - Self-hostable LLM router with explicit-first routing, fallbacks, and spend limits. - [cgaeking/ClawRouter](https://github.com/cgaeking/ClawRouter) - Smart LLM router with direct API keys and OpenRouter support. - [tzachbon/claude-model-router-hook](https://github.com/tzachbon/claude-model-router-hook) - Claude Code hooks auto-switching model tier based on task complexity. - [yeliu84/pi-model-router](https://github.com/yeliu84/pi-model-router) - Pi agent extension routing each turn to the right LLM tier by intent and budget. - [marco-jardim/opencode-model-router](https://github.com/marco-jardim/opencode-model-router) - OpenCode plugin for automatic model-tier delegation by task weight. **Coding-agent & API translation proxies** - [fuergaosi233/claude-code-proxy](https://github.com/fuergaosi233/claude-code-proxy) - Claude Code to OpenAI API Proxy. - [decolua/9router](https://github.com/decolua/9router) - Free AI coding router: one endpoint for 40+ providers with auto-fallback for coding agents. - [luqman-v1/9router-go](https://github.com/luqman-v1/9router-go) - High-performance Go proxy gateway for 9Router LLM routing at 32K RPS. - [duolahypercho/codex-router](https://github.com/duolahypercho/codex-router) - External-model router for Codex with Kimi and DeepSeek support plus safe migration. - [1rgs/claude-code-proxy](https://github.com/1rgs/claude-code-proxy) - Proxy that lets Claude Code run on OpenAI-compatible models. - [HarnessRouter/harnessrouter](https://github.com/HarnessRouter/harnessrouter) - Self-hosted unified interface running coding harnesses through one API with failover. - [LiteLLM-Labs/litellm-agent-control-plane](https://github.com/LiteLLM-Labs/litellm-agent-control-plane) - Single control plane to call coding agents and agent APIs through one interface. - [kittors/CliRelay](https://github.com/kittors/CliRelay) - Self-hosted AI gateway giving coding CLIs one OpenAI/Claude/Gemini/Codex endpoint. - [routatic/proxy](https://github.com/routatic/proxy) - Routes Claude Code requests across multiple upstreams with automatic model selection. - [MAXeaglet/commandcode-proxy](https://github.com/MAXeaglet/commandcode-proxy) - Reverse proxy exposing the Command Code API as OpenAI- and Anthropic-compatible endpoints. - [zhu327/gemini-openai-proxy](https://github.com/zhu327/gemini-openai-proxy) - Proxy converting the OpenAI API protocol to the Google Gemini protocol. - [zuisong/gemini-openai-proxy](https://github.com/zuisong/gemini-openai-proxy) - OpenAI-to-Google-Gemini proxy running on Deno edge infrastructure. - [google-gemini/proxy-to-gemini](https://github.com/google-gemini/proxy-to-gemini) - Proxy sidecar accessing Gemini models via OpenAI and Ollama APIs. - [Sinholms/setup-gateway](https://github.com/Sinholms/setup-gateway) - Zero-dependency configurator deploying an OpenAI-compatible gateway for coding CLIs. - [HernanJiang/CodexRouter](https://github.com/HernanJiang/CodexRouter) - Local-first Codex multi-model router with a Windows configurator. - [CaddyGlow/ccproxy-api](https://github.com/CaddyGlow/ccproxy-api) - Local reverse proxy giving unified access to Claude and Codex through one interface. - [OrionStarAI/claudecode-vertex-proxy](https://github.com/OrionStarAI/claudecode-vertex-proxy) - Proxy letting Claude Code access Claude models through GCP Vertex AI. - [LiteLLM-Labs/litellm-rust](https://github.com/LiteLLM-Labs/litellm-rust) - Minimal Rust gateway for coding agents, LiteLLM-compatible. - [tingxifa/claude_proxy](https://github.com/tingxifa/claude_proxy) - Cloudflare Workers proxy translating Claude API format to OpenAI format. - [mos1128/ccg-gateway](https://github.com/mos1128/ccg-gateway) - Multi-agent compatible LLM gateway with efficiency tooling. - [GreyGunG/grokbuild-proxy](https://github.com/GreyGunG/grokbuild-proxy) - Local self-hosted proxy bridging Grok Build to Claude Code and OpenAI formats. - [aptdnfapt/qwen-code-oai-proxy](https://github.com/aptdnfapt/qwen-code-oai-proxy) - Proxy exposing Qwen Code coder models to any OpenAI-compatible tool. - [XxxXTeam/codex-proxy](https://github.com/XxxXTeam/codex-proxy) - Codex API proxy service with OpenAI and Claude multi-protocol compatibility. - [nettee/gemini-cli-proxy](https://github.com/nettee/gemini-cli-proxy) - Wraps the Gemini CLI as an OpenAI-compatible API service. - [bigdata2211it-web/opencode-free-proxy](https://github.com/bigdata2211it-web/opencode-free-proxy) - Proxy for OpenCode free-tier models via Zen API with OpenAI and Anthropic compatibility. - [LiteLLM-Labs/litellm-relay](https://github.com/LiteLLM-Labs/litellm-relay) - Onboards coding tools onto a LiteLLM AI gateway with zero setup. - [m0n0x41d/anthropic-proxy-rs](https://github.com/m0n0x41d/anthropic-proxy-rs) - Rust proxy converting Anthropic API requests to OpenAI-compatible format. - [klarkxy/open-console-gateway](https://github.com/klarkxy/open-console-gateway) - Unified gateway managing AI subscriptions for desktop apps and coding tools. - [ypollak2/llm-router](https://github.com/ypollak2/llm-router) - Universal LLM router for coding tools with a free-first fallback chain. - [Able-rip/cc-VisionRouter](https://github.com/Able-rip/cc-VisionRouter) - Transparent Claude Code proxy auto-routing image requests to multimodal models. - [arbs-io/github-copilot-llm-gateway](https://github.com/arbs-io/github-copilot-llm-gateway) - Copilot extension adding self-hosted open-source models to the chat experience. - [dev2k6/command-code-proxy-server](https://github.com/dev2k6/command-code-proxy-server) - OpenAI-compatible proxy server exposing CommandCode API endpoints locally. - [BytePioneer-AI/weixin-agent-gateway](https://github.com/BytePioneer-AI/weixin-agent-gateway) - WeChat-facing AI gateway unifying OpenClaw, Codex, and Claude Code backends. - [yuseferi/opencode-litellm](https://github.com/yuseferi/opencode-litellm) - OpenCode plugin adding LiteLLM proxy support with dynamic model discovery. - [superagent-ai/gateway](https://github.com/superagent-ai/gateway) - Tiny Rust gateway for running coding agents across model providers safely. - [KochC/opencode-llm-proxy](https://github.com/KochC/opencode-llm-proxy) - Local OpenCode-backed LLM gateway with streaming and tool calling. - [Lucasmantou/codex-proxy](https://github.com/Lucasmantou/codex-proxy) - Proxy letting Codex use any LLM, cutting costs 30-50x via cheaper providers. - [yinxulai/claude-proxy](https://github.com/yinxulai/claude-proxy) - Free proxy converting Claude API format to OpenAI format with streaming and tool calls. - [iqmeta/copilot-ollama-multi-provider-ai-proxy](https://github.com/iqmeta/copilot-ollama-multi-provider-ai-proxy) - Proxy running DeepSeek, Groq, Ollama, and more models inside GitHub Copilot. - [ttimasdf/pi-provider-newapi](https://github.com/ttimasdf/pi-provider-newapi) - Pi provider extension for self-hosted NewAPI gateways with cost calculation. - [promptadvisers/grokrouter](https://github.com/promptadvisers/grokrouter) - Bring-your-own-model router for Grok Bot, Codex, and OpenRouter on Mac. - [chand1012/claude-code-mlx-proxy](https://github.com/chand1012/claude-code-mlx-proxy) - Proxy running Claude Code on local MLX-powered models. - [evanlong-me/nvidia-anthropic-proxy](https://github.com/evanlong-me/nvidia-anthropic-proxy) - Cloudflare Worker proxy enabling Claude Code to use NVIDIA NIM models. - [theRizwan/llm7-codex-proxy](https://github.com/theRizwan/llm7-codex-proxy) - Python proxy letting the Codex app talk to LLM7 via an OpenAI-compatible endpoint. - [luwill/Claude-Code-Model-Router](https://github.com/luwill/Claude-Code-Model-Router) - Lightweight gateway switching Claude Code to third-party AI models. - [RunMintOn/OpenCode-Qwen-Proxy](https://github.com/RunMintOn/OpenCode-Qwen-Proxy) - OAuth plugin using a Qwen account for OpenCode CLI models. - [12errh/zen-proxy](https://github.com/12errh/zen-proxy) - Local proxy exposing OpenCode free Zen models to any agent tool. - [JichinX/codex-glm-proxy](https://github.com/JichinX/codex-glm-proxy) - Local proxy enabling Codex CLI to work with GLM models. - [lidge-jun/opencodex](https://github.com/lidge-jun/opencodex) - Universal provider proxy that lets OpenAI Codex and Claude Code use any LLM backend. - [seaavey/SRouter](https://github.com/seaavey/SRouter) - Local-first AI gateway connecting coding tools to multiple providers with failover. - [miztertea/nim-proxy](https://github.com/miztertea/nim-proxy) - Tiny rate-limit-aware OpenAI-compatible proxy for the NVIDIA NIM API. - [router-for-me/CLIProxyAPI](https://github.com/router-for-me/CLIProxyAPI) - Wraps coding-agent subscriptions as OpenAI, Gemini and Claude-compatible APIs. - [miuuyy/codex-chatgpt-web](https://github.com/miuuyy/codex-chatgpt-web) - Uses ChatGPT Web as a native model provider in Codex. - [yetone/magpie](https://github.com/yetone/magpie) - Menu-bar app to run Codex, Claude Code and other agents on any model. - [ThinkWatchProject/ThinkWatch-Lite](https://github.com/ThinkWatchProject/ThinkWatch-Lite) - Local gateway for Claude Code and Codex to switch upstreams and track cost. **Privacy & security gateways** - [dataiku/kiji-proxy](https://github.com/dataiku/kiji-proxy) - Privacy proxy that scrubs sensitive content from OpenAI requests. - [CassiopeiaCode/CosyRedactGateway](https://github.com/CassiopeiaCode/CosyRedactGateway) - Stateless privacy gateway redacting secrets before LLM upstreams and restoring them. - [occludra/gateway](https://github.com/occludra/gateway) - Self-hosted AI security proxy redacting PII and blocking prompt injection. **Router research & benchmarks** - [ulab-uiuc/Router-R1](https://github.com/ulab-uiuc/Router-R1) - Research implementation teaching LLMs multi-round routing and aggregation via RL. - [RouteWorks/RouterArena](https://github.com/RouteWorks/RouterArena) - Open framework for evaluating LLM routers with datasets, metrics, and leaderboard. - [MilkThink-Lab/RouterEval](https://github.com/MilkThink-Lab/RouterEval) - Benchmark suite for evaluating routing strategies across LLMs. - [ynulihao/LLMRouterBench](https://github.com/ynulihao/LLMRouterBench) - Massive benchmark and unified framework for LLM routing research. - [ulab-uiuc/GraphRouter](https://github.com/ulab-uiuc/GraphRouter) - Graph-based router for LLM selection from ICLR 2025 research. ## Free LLM APIs & Free Tiers *Build and learn without a credit card.* **Free LLM API directories** - [open-free-llm-api/awesome-freellm-apis](https://github.com/open-free-llm-api/awesome-freellm-apis) - 130+ free LLM APIs with one-click setup for Claude Code, Cursor and Codex. - [mnfst/awesome-free-llm-apis](https://github.com/mnfst/awesome-free-llm-apis) - Permanent free LLM API keys. - [nejib1/Free-LLM](https://github.com/nejib1/Free-LLM) - Directory of free LLM APIs, synced daily. - [zebbern/no-cost-ai](https://github.com/zebbern/no-cost-ai) - 80+ free AI services for chat, image, video and voice. - [vava-nessa/free-coding-models](https://github.com/vava-nessa/free-coding-models) - Find, benchmark and install 170+ free coding models from the CLI. - [guihuashaoxiang/FreeLLM-API-KeyHub](https://github.com/guihuashaoxiang/FreeLLM-API-KeyHub) - Curated list of free Chinese LLM APIs and access guides. - [amardeeplakshkar/awesome-free-llm-apis](https://github.com/amardeeplakshkar/awesome-free-llm-apis) - Curated list of permanently free LLM APIs with rate limits. - [mvalentsev/awesome-free-ai-coding](https://github.com/mvalentsev/awesome-free-ai-coding) - Legal free LLM APIs and coding agents, probe-verified weekly. - [pacocartones/free-llm-api-hub](https://github.com/pacocartones/free-llm-api-hub) - Continuously verified dataset of free-tier and trial-credit LLM APIs. - [alirezasafaei-dev/awesome-free-llm-apis-ir](https://github.com/alirezasafaei-dev/awesome-free-llm-apis-ir) - Persian-first directory of free LLM APIs with quotas. - [freellms/free-llm-api-keys](https://github.com/freellms/free-llm-api-keys) - Daily-updated directory of free LLM API keys, no credit card. - [xyzs996/free-llm-api](https://github.com/xyzs996/free-llm-api) - Verified list of free-tier limits and OpenAI-compatible endpoints. - [ma-pony/awesome-free-llm-api](https://github.com/ma-pony/awesome-free-llm-api) - Source-linked directory of free and trial LLM APIs. - [ai-resource-radar/ai-resource-radar](https://github.com/ai-resource-radar/ai-resource-radar) - Daily-verified free LLM APIs, token prices, and GPU deals. - [Kyzenkms/free-ai-providers](https://github.com/Kyzenkms/free-ai-providers) - Benchmark directory and config generator for free AI relays. - [YoannDev90/awesome-free-ai-api](https://github.com/YoannDev90/awesome-free-ai-api) - List of 80 AI APIs providing models free, no card needed. - [Drvivek34/Free-API-Bazaar](https://github.com/Drvivek34/Free-API-Bazaar) - Directory of free LLM and AI APIs with real limits. - [ishandutta2007/Awesome-LLM-APIS-FREE](https://github.com/ishandutta2007/Awesome-LLM-APIS-FREE) - 100+ LLM APIs to maximize free-tier utilization. - [happyyboxx/free-llm-atlas](https://github.com/happyyboxx/free-llm-atlas) - Atlas of 46+ free LLM platforms with automated probing. - [viratk-dev/free-ai-api-directory](https://github.com/viratk-dev/free-ai-api-directory) - 100+ verified free AI APIs with zero dead links. - [tatn/awesome-free-ai-apis](https://github.com/tatn/awesome-free-ai-apis) - Curated list of free AI and LLM API resources. - [hokithree7/freetoken](https://github.com/hokithree7/freetoken) - Find and verify free-access LLM API routes with dated evidence. - [felipetruman/free-llm-hub](https://github.com/felipetruman/free-llm-hub) - Unified catalog of 187+ LLM APIs, engines, and gateways. - [Ashfaq-Riyaldeen/free-llm-apis](https://github.com/Ashfaq-Riyaldeen/free-llm-apis) - Decision-focused list of free LLM APIs in 2026. - [DevAnimecx/free-ai-agent-stack](https://github.com/DevAnimecx/free-ai-agent-stack) - 384 free resources for building an AI agent in 2026. - [robhunterclaude/free-llm-api-index](https://github.com/robhunterclaude/free-llm-api-index) - Free tiers for AI and LLM APIs, dated and sourced. - [Owaid0723666/free-llm-radar](https://github.com/Owaid0723666/free-llm-radar) - Daily probes of free LLM API models for uptime. **Free-tier routers & gateways** - [tashfeenahmed/freellmapi](https://github.com/tashfeenahmed/freellmapi) - Stack 34 free-tier providers behind one `/v1` endpoint. - [tayyabimam1/freellmapi](https://github.com/tayyabimam1/freellmapi) - My fork with additional custom-endpoint support. - [humantonylee/free-router](https://github.com/humantonylee/free-router) - Free AI model router with comparison and switching across providers. - [MrFadiAi/free-llm-gateway](https://github.com/MrFadiAi/free-llm-gateway) - OpenAI-compatible gateway aggregating 14+ free LLM providers with fallback routing. - [ClawLabsAI/free-ai-models](https://github.com/ClawLabsAI/free-ai-models) - Daily-updated ranked list of free AI models with one OpenAI-compatible routing endpoint. - [ihsan-ramadhan/bansos-router](https://github.com/ihsan-ramadhan/bansos-router) - Keyless router serving free coding models to every coding harness via one endpoint. - [0xzr/freellmpool](https://github.com/0xzr/freellmpool) - Free LLM gateway spanning 22 providers and 178 routes with keyless startup. - [Devansh-365/freellm](https://github.com/Devansh-365/freellm) - OpenAI-compatible gateway aggregating 8 free LLM providers with smart failover. - [GoDiao/Free-Way](https://github.com/GoDiao/Free-Way) - Local gateway giving coding tools free access to 14+ LLM providers. - [spf0209/FreeAI-Gateway](https://github.com/spf0209/FreeAI-Gateway) - OpenAI-compatible gateway for free AI web APIs like GLM, Kimi, and Qwen. - [thy-chan/model-gateway](https://github.com/thy-chan/model-gateway) - AI model gateway aggregating free LLM quotas with smart polling and failover. - [markwaveio/FreeRouter](https://github.com/markwaveio/FreeRouter) - Zero-price model router built on LiteLLM for agents and OpenAI-compatible clients. - [NoelJudeNoel/open-free-router](https://github.com/NoelJudeNoel/open-free-router) - Aggregator auto-discovering, routing, and proxying free LLM models worldwide. - [shihabshahrier/freelm](https://github.com/shihabshahrier/freelm) - Free LLM client and gateway for Python and TypeScript over free-tier providers. - [fontesmidias/saci](https://github.com/fontesmidias/saci) - Router for free-tier LLMs with fallback, quota tracking, and a model catalog. - [Artur21101965/freegate](https://github.com/Artur21101965/freegate) - Free multi-provider LLM proxy with automatic failover across 18 free models. - [ezzcodeezzlife/freerouter](https://github.com/ezzcodeezzlife/freerouter) - One OpenAI-compatible endpoint with quality-waterfall routing for free LLM keys. - [somratpro/HuggingMes](https://github.com/somratpro/HuggingMes) - Run Hermes agent free on a Hugging Face Space. - [romgX/openrelay](https://github.com/romgX/openrelay) - Hundreds of free AI model quotas with one-click access for local projects. - [mfoud444/ollamafreeapi](https://github.com/mfoud444/ollamafreeapi) - Free distributed API for Ollama LLMs with 50+ models and no key required. - [IngARodriguez/openapis](https://github.com/IngARodriguez/openapis) - Free unified proxy for Claude and OpenAI APIs with 100+ models. - [spacepirate15/quantum-free-router](https://github.com/spacepirate15/quantum-free-router) - Zero-cost routing across free-tier model APIs with fallback chains. - [KashifKhn/gemini-proxy](https://github.com/KashifKhn/gemini-proxy) - Self-hosted OpenAI-compatible Gemini proxy via OAuth, no paid key. - [Corporationakht/LocalCodeCli](https://github.com/Corporationakht/LocalCodeCli) - Local proxy for Claude Code and Codex CLIs over free providers. - [Free-The-Ai/free-ai](https://github.com/Free-The-Ai/free-ai) - Free OpenAI-compatible AI API with 50+ models and streaming. - [ihuzaifashoukat/free-ai-router](https://github.com/ihuzaifashoukat/free-ai-router) - 150+ free AI models across 20+ providers with automatic fallback. - [setan21/free-llm-api-router](https://github.com/setan21/free-llm-api-router) - Route requests across free LLM providers with automatic failover. - [malda231125/free-llm-gateway](https://github.com/malda231125/free-llm-gateway) - AI-routed gateway for free LLM APIs with key pooling. - [rohansx/nvidia-litellm-router](https://github.com/rohansx/nvidia-litellm-router) - Latency-based routing across 31 NVIDIA NIM models with failover. - [ferdiunal/laravel-ai-router](https://github.com/ferdiunal/laravel-ai-router) - Laravel AI SDK provider routing across free models with failover. - [DevvGwardo/free-llm-router](https://github.com/DevvGwardo/free-llm-router) - Rotator proxy combining all free tiers into one endpoint. - [colombefioren/COKEY](https://github.com/colombefioren/COKEY) - Pool every free LLM API behind one OpenAI-compatible endpoint. - [mihir0209/AI_engine](https://github.com/mihir0209/AI_engine) - Free AI inference router for developers, 21 providers. - [comedy1024/modelscope-auto-proxy](https://github.com/comedy1024/modelscope-auto-proxy) - OpenAI-compatible proxy for ModelScope free LLMs with failover. - [tokkkie/free-model-router](https://github.com/tokkkie/free-model-router) - Auto-rotating proxy for free OpenRouter LLMs with failover. - [SeyhmusKaya/freellmapi-extended](https://github.com/SeyhmusKaya/freellmapi-extended) - Free OpenAI-compatible gateway, 150+ models across 15+ providers. - [dklymentiev/free-llm-api-stack](https://github.com/dklymentiev/free-llm-api-stack) - Stack free LLM tiers behind one endpoint with failover. - [autcir/openvidia](https://github.com/autcir/openvidia) - Multi-key proxy pooling free-tier NVIDIA NIM keys with dashboard. - [SuperWang-AI/woolgate](https://github.com/SuperWang-AI/woolgate) - Self-hosted AI gateway aggregating free LLM APIs. - [MajidAsghariTabrizi/free-best-router](https://github.com/MajidAsghariTabrizi/free-best-router) - Intelligent router discovering and ranking free AI models. - [rahamanleon/freellmapi](https://github.com/rahamanleon/freellmapi) - Free multi-provider LLM API proxy. - [WackyDawg/free-gpt-api](https://github.com/WackyDawg/free-gpt-api) - Free OpenAI-compatible REST API with tool calling, no key needed. - [CicadaRelay/free-llm-hub](https://github.com/CicadaRelay/free-llm-hub) - Launch multiple free and low-friction AI gateways easily. - [Jiao77/LLMflare](https://github.com/Jiao77/LLMflare) - Free LLM aggregation gateway on Cloudflare Workers. - [Danylizejp/freellmapi](https://github.com/Danylizejp/freellmapi) - Aggregate 34 free LLM providers into one API. - [apuslabs/steadyroute](https://github.com/apuslabs/steadyroute) - Self-healing free LLM router for changing model pools. - [xtekky/gpt4free](https://github.com/xtekky/gpt4free) - Free LLM API via reverse-engineered providers. - [pollinations/pollinations](https://github.com/pollinations/pollinations) - Free generative AI API for text and images. - [xiaoY233/Chat2API](https://github.com/xiaoY233/Chat2API) - Exposes official AI chat web UIs as OpenAI-compatible APIs for zero-cost model access. - [AgnesAI-Labs/AgnesAI-Models](https://github.com/AgnesAI-Labs/AgnesAI-Models) - Agnes AI gateway and model catalog with OpenAI-compatible text, image and video APIs. - [GFardad/llm-apipool](https://github.com/GFardad/llm-apipool) - Aggregates 40+ free-tier LLM APIs into one OpenAI-compatible endpoint. **Free developer resources & hosting** - [public-apis/public-apis](https://github.com/public-apis/public-apis) - The classic list of free public APIs. - [cporter202/API-mega-list](https://github.com/cporter202/API-mega-list) - Large API directory. - [ripienaar/free-for-dev](https://github.com/ripienaar/free-for-dev) - SaaS/PaaS/IaaS free tiers for developers. - [iSoumyaDey/Awesome-Web-Hosting-2026](https://github.com/iSoumyaDey/Awesome-Web-Hosting-2026) - Free-tier vs paid hosting compared. - [DmitryScaletta/free-heroku-alternatives](https://github.com/DmitryScaletta/free-heroku-alternatives) - Free backend hosting alternatives. - [DmitryScaletta/free-database-services](https://github.com/DmitryScaletta/free-database-services) - Free database services. - [DigitalPlatDev/FreeDomain](https://github.com/DigitalPlatDev/FreeDomain) - Free domain registration and DNS learning. - [AchoArnold/discount-for-student-dev](https://github.com/AchoArnold/discount-for-student-dev) - Software discounts for student developers. - [hfcorriez/agent-public-apis](https://github.com/hfcorriez/agent-public-apis) - Verified public APIs for agents, no keys or signup. ## Local Models, Inference & Hardware *Run, fine-tune and quantize open models on your own hardware.* **Serving** - [ollama/ollama](https://github.com/ollama/ollama) - Run models locally with one command; the default for development. - [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp) - CPU/GPU inference in C++; the engine behind most local tooling. - [vllm-project/vllm](https://github.com/vllm-project/vllm) - High-throughput production serving with paged attention. - [sgl-project/sglang](https://github.com/sgl-project/sglang) - Fast serving with structured generation and prefix caching. - [lmstudio-ai/lms](https://github.com/lmstudio-ai/lms) - CLI for LM Studio's local model server. - [bentoml/OpenLLM](https://github.com/bentoml/OpenLLM) - Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud. - [mudler/LocalAI](https://github.com/mudler/LocalAI) - LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. - [mozilla-ai/llamafile](https://github.com/mozilla-ai/llamafile) - Distribute and run LLMs with a single file. - [mlc-ai/mlc-llm](https://github.com/mlc-ai/mlc-llm) - Universal LLM Deployment Engine with ML Compilation. - [NVIDIA/TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) - NVIDIA's official optimized inference engine for LLMs on CUDA GPUs. - [kvcache-ai/Mooncake](https://github.com/kvcache-ai/Mooncake) - KVCache-centric disaggregated LLM serving platform behind Moonshot AI's Kimi. - [microsoft/BitNet](https://github.com/microsoft/BitNet) - Official inference framework for 1-bit LLMs. - [lyogavin/airllm](https://github.com/lyogavin/airllm) - AirLLM 70B inference with single 4GB GPU. - [FlashML-org/FreeToken](https://github.com/FlashML-org/FreeToken) - Datacenter-scale model serving on your desktop for massive local models. - [vllm-project/vllm-omni](https://github.com/vllm-project/vllm-omni) - Framework for efficient inference with omni-modality models. - [Michael-A-Kuykendall/shimmy](https://github.com/Michael-A-Kuykendall/shimmy) - Pure-Rust WebGPU inference engine, GGUF-native and OpenAI-API compatible. - [PaddlePaddle/FastDeploy](https://github.com/PaddlePaddle/FastDeploy) - High-performance inference and deployment toolkit for LLMs and VLMs. - [ikawrakow/ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp) - Fork of llama.cpp with state-of-the-art quantization formats and faster inference. - [containers/ramalama](https://github.com/containers/ramalama) - Serve local AI models through familiar container workflows, from any model source. - [sammcj/gollama](https://github.com/sammcj/gollama) - Terminal manager for your Ollama models, written in Go. - [sybil-solutions/local-studio](https://github.com/sybil-solutions/local-studio) - Control panel for local vLLM, SGLang, llama.cpp, and exllamav3 servers. - [intentee/paddler](https://github.com/intentee/paddler) - Open-source LLM and VLM load balancer for self-hosting at scale. - [nobodywho-ooo/nobodywho](https://github.com/nobodywho-ooo/nobodywho) - Inference engine for running LLMs locally and efficiently on any device. - [turboderp-org/exllamav3](https://github.com/turboderp-org/exllamav3) - Optimized quantization and inference library for LLMs on consumer GPUs. - [GradientHQ/parallax](https://github.com/GradientHQ/parallax) - Distributed model serving framework to build your own AI cluster anywhere. - [sgl-project/sglang-omni](https://github.com/sgl-project/sglang-omni) - High-performance serving framework for audio and unified multimodal models. - [openvinotoolkit/model_server](https://github.com/openvinotoolkit/model_server) - Scalable inference server for models optimized with OpenVINO. - [foldl/chatllm.cpp](https://github.com/foldl/chatllm.cpp) - Pure C++ implementation of several models for real-time chat on CPU and GPU. - [PaddlePaddle/Serving](https://github.com/PaddlePaddle/Serving) - Flexible, high-performance framework for serving machine learning models. - [mosecorg/mosec](https://github.com/mosecorg/mosec) - High-performance ML model serving with dynamic batching and CPU/GPU pipelines. - [gavamedia/deltafin](https://github.com/gavamedia/deltafin) - Run the full Kimi K3 model on a single device with an OpenAI-compatible server. - [EricLBuehler/candle-vllm](https://github.com/EricLBuehler/candle-vllm) - Efficient platform for inference and serving of local LLMs with OpenAI-compatible API. - [ParisNeo/lollms_hub](https://github.com/ParisNeo/lollms_hub) - Proxy server for managing multiple Ollama instances with key-based security. - [brontoguana/krasis](https://github.com/brontoguana/krasis) - Hybrid LLM runtime for running larger models on VRAM-limited consumer hardware. - [spark-arena/sparkrun](https://github.com/spark-arena/sparkrun) - Launch and manage LLM inference workloads on NVIDIA DGX Spark systems. - [toverainc/willow-inference-server](https://github.com/toverainc/willow-inference-server) - Self-hosted inference server for LLMs, speech-to-text, and text-to-speech. - [mudler/vllm.cpp](https://github.com/mudler/vllm.cpp) - Community C++ engine mirroring vLLM with continuous batching and paged KV cache. - [thushan/olla](https://github.com/thushan/olla) - Lightweight proxy and load balancer for LLM infrastructure with failover. - [mohitsoni48/TurboLLM](https://github.com/mohitsoni48/TurboLLM) - Run any local LLM engine auto-tuned to your GPU with web UI and OpenAI-compatible API. - [onnx/turnkeyml](https://github.com/onnx/turnkeyml) - No-code CLI for accelerating ONNX model deployment workflows. - [timtoole02/Camelid](https://github.com/timtoole02/Camelid) - Rust-native local inference backend with evidence-gated model compatibility. - [wladimiravila/esp32s3-distributed-ai](https://github.com/wladimiravila/esp32s3-distributed-ai) - Distributed LLM inference across ESP32-S3 boards, fully offline. - [b4rtaz/distributed-llama](https://github.com/b4rtaz/distributed-llama) - Distributed LLM inference that clusters home devices to run larger models faster. - [xLLM-AI/xllm](https://github.com/xLLM-AI/xllm) - High-performance inference engine for LLM, VLM and DiT models on diverse accelerators. - [Luce-Org/lucebox](https://github.com/Luce-Org/lucebox) - Speculative LLM inference server tuned for heterogeneous hardware and consumer GPUs. - [syv-ai/HyperQwen](https://github.com/syv-ai/HyperQwen) - Serves large Qwen models quickly on consumer 24 GB GPUs. - [0xShug0/audio.cpp](https://github.com/0xShug0/audio.cpp) - Pure C++ inference engine for audio models, built on ggml. - [shell-nlp/gpt_server](https://github.com/shell-nlp/gpt_server) - Open framework for production deployment of LLMs, embeddings, and rerankers. - [Tencent-Hunyuan/Hunyuan-A13B](https://github.com/Tencent-Hunyuan/Hunyuan-A13B) - Open fine-grained MoE model. - [kvcache-ai/ktransformers](https://github.com/kvcache-ai/ktransformers) - CPU-GPU heterogeneous inference for giant MoE models on modest hardware. - [Tiiny-AI/PowerInfer](https://github.com/Tiiny-AI/PowerInfer) - High-speed LLM serving for local deployment on consumer GPUs. - [EricLBuehler/mistral.rs](https://github.com/EricLBuehler/mistral.rs) - Fast, flexible LLM inference engine in Rust with an OpenAI-compatible API. - [huggingface/candle](https://github.com/huggingface/candle) - Minimalist ML framework for Rust with CUDA and inference support. - [nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all) - Run local LLMs on any device with a desktop app and API. - [abetlen/llama-cpp-python](https://github.com/abetlen/llama-cpp-python) - Python bindings for llama.cpp with an OpenAI-compatible API server. - [tracel-ai/burn](https://github.com/tracel-ai/burn) - Next-generation deep learning framework for Rust: flexible and portable. - [mostlygeek/llama-swap](https://github.com/mostlygeek/llama-swap) - Reliably hot-swap models behind any OpenAI-compatible local server. - [exo-explore/exo](https://github.com/exo-explore/exo) - Run frontier AI models locally across a cluster of everyday devices. - [antirez/ds4](https://github.com/antirez/ds4) - Local inference engine for DeepSeek 4 on Metal, CUDA and ROCm. - [Niko1221/Strata](https://github.com/Niko1221/Strata) - One-click local inference engine for Qwen models with OpenAI and Anthropic APIs. - [magnitudedev/magnitude](https://github.com/magnitudedev/magnitude) - Agent inference engine that tunes its kernels to your hardware. - [Neroued/ninfer](https://github.com/Neroued/ninfer) - High-performance single-GPU inference for selected models. **Apple Silicon & MLX** - [ml-explore/mlx](https://github.com/ml-explore/mlx) - Array framework for machine learning on Apple silicon. - [jundot/omlx](https://github.com/jundot/omlx) - LLM inference server for Apple Silicon with continuous batching and SSD caching. - [ml-explore/mlx-lm](https://github.com/ml-explore/mlx-lm) - Run large language models on Apple silicon using MLX. - [Arthur-Ficial/apfel](https://github.com/Arthur-Ficial/apfel) - Free on-device AI for Mac: CLI, OpenAI-compatible server, and chat. - [Blaizzy/mlx-vlm](https://github.com/Blaizzy/mlx-vlm) - Inference and fine-tuning of vision-language models on Mac with MLX. - [raullenchai/Rapid-MLX](https://github.com/raullenchai/Rapid-MLX) - Fast local AI engine for Apple Silicon with tool calling and prompt caching. - [vllm-project/vllm-metal](https://github.com/vllm-project/vllm-metal) - Community hardware plugin that enables vLLM on Apple Silicon. - [waybarrios/vllm-mlx](https://github.com/waybarrios/vllm-mlx) - OpenAI-compatible LLM inference server for Apple Silicon built on MLX. - [ddalcu/mlx-serve](https://github.com/ddalcu/mlx-serve) - Native Apple Silicon LLM inference server, OpenAI and Anthropic API compatible. - [ml-explore/mlx-swift-lm](https://github.com/ml-explore/mlx-swift-lm) - Run LLMs and VLMs on Apple silicon from Swift with MLX. - [SharpAI/SwiftLM](https://github.com/SharpAI/SwiftLM) - Native MLX Swift inference server for Apple Silicon with SSD streaming. - [ARahim3/mlx-dspark](https://github.com/ARahim3/mlx-dspark) - Up to 4x faster lossless LLM decoding on Apple Silicon via speculative decoding. - [Trans-N-ai/swama](https://github.com/Trans-N-ai/swama) - High-performance MLX-based LLM inference engine for macOS in native Swift. - [carloslfu/slotstream](https://github.com/carloslfu/slotstream) - Stream a 105GB mixture-of-experts model from SSD on Macs with 16 to 64GB RAM. - [Epistates/pmetal](https://github.com/Epistates/pmetal) - High-performance Apple Silicon framework for local LLM inference and serving. - [youssofal/MTPLX](https://github.com/youssofal/MTPLX) - Fast local inference of Qwen models on Apple Silicon Macs using multi-token prediction. - [incoai/splash](https://github.com/incoai/splash) - Local inference engine for Apple silicon built around the specific model. - [drumih/turbo-fieldfare](https://github.com/drumih/turbo-fieldfare) - Runs Gemma 4 26B-A4B in about 2 GB of RAM on M-series MacBooks. **On-device, mobile & browser** - [mlc-ai/web-llm](https://github.com/mlc-ai/web-llm) - High-performance In-browser LLM Inference Engine. - [huggingface/transformers.js](https://github.com/huggingface/transformers.js) - State-of-the-art Machine Learning for the web. Run Transformers directly in your browser, with no need for a server!. - [OpenBMB/MiniCPM](https://github.com/OpenBMB/MiniCPM) - Small yet powerful on-device language models for phones and PCs. - [RunanywhereAI/runanywhere-sdks](https://github.com/RunanywhereAI/runanywhere-sdks) - Production-ready SDKs for running AI models locally on device. - [qualcomm/GenieX](https://github.com/qualcomm/GenieX) - Run frontier LLMs and VLMs locally across Qualcomm NPU, GPU, and CPU. - [cactus-compute/cactus](https://github.com/cactus-compute/cactus) - Quantization, kernels, and inference runtime for phones, wearables, and robots. - [lemonade-sdk/lemonade](https://github.com/lemonade-sdk/lemonade) - Discover and run local AI apps serving optimized LLMs on your GPU or NPU. - [RightNow-AI/picolm](https://github.com/RightNow-AI/picolm) - Run a 1-billion-parameter LLM on a $10 board with 256MB of RAM. - [withcatai/node-llama-cpp](https://github.com/withcatai/node-llama-cpp) - Node.js bindings for llama.cpp to run AI models locally with JSON schema output. - [ROCm/FastFlowLM](https://github.com/ROCm/FastFlowLM) - Run LLMs on AMD Ryzen AI NPUs, purpose-built and deeply optimized. - [john-rocky/CoreML-Models](https://github.com/john-rocky/CoreML-Models) - Core ML model zoo for iOS and macOS with conversion scripts and sample apps. - [callstackincubator/ai](https://github.com/callstackincubator/ai) - On-device LLM execution in React Native apps with Vercel AI SDK compatibility. - [ngxson/wllama](https://github.com/ngxson/wllama) - WebAssembly bindings for llama.cpp enabling in-browser LLM inference. - [OpenSparX/MasterAgent](https://github.com/OpenSparX/MasterAgent) - Build AI agents that run 100 percent on-device with sub-100ms Qualcomm NPU latency. - [kessler/gemma-gem](https://github.com/kessler/gemma-gem) - Run Google's Gemma model entirely on-device via WebGPU, no cloud needed. - [mybigday/llama.rn](https://github.com/mybigday/llama.rn) - React Native bindings for llama.cpp. - [shubham0204/SmolChat-Android](https://github.com/shubham0204/SmolChat-Android) - Run any GGUF small language model locally on Android devices. - [tetherto/qvac](https://github.com/tetherto/qvac) - Open-source local AI SDK for on-device inference across desktop and mobile. - [Helldez/BigMoeOnEdge](https://github.com/Helldez/BigMoeOnEdge) - Run mixture-of-experts models bigger than RAM on a 12GB phone, CPU only. - [NotPunchnox/rkllama](https://github.com/NotPunchnox/rkllama) - Ollama alternative for Rockchip NPUs to run AI models on Rockchip devices. - [NVIDIA/TensorRT-Edge-LLM](https://github.com/NVIDIA/TensorRT-Edge-LLM) - Lightweight C++ LLM and VLM inference software for physical AI at the edge. - [zolotukhin/zinc](https://github.com/zolotukhin/zinc) - Zig inference engine for local LLM inference on AMD GPUs and Apple Silicon. - [NightMean/OlliteRT](https://github.com/NightMean/OlliteRT) - Turn an Android phone into an OpenAI-compatible local LLM inference server. - [xybrid-ai/xybrid](https://github.com/xybrid-ai/xybrid) - Cross-platform on-device AI toolkit for phones, desktops, and edge devices. - [dineshsoudagar/local-llms-on-android](https://github.com/dineshsoudagar/local-llms-on-android) - Guide to running Gemma, Qwen, and LLaMA locally on Android with LiteRT and ONNX. - [eleiton/ollama-intel-arc](https://github.com/eleiton/ollama-intel-arc) - Run Ollama, Stable Diffusion, and Whisper on Intel Arc GPUs. - [Picovoice/picollm](https://github.com/Picovoice/picollm) - On-device LLM inference powered by X-bit quantization. - [google-ai-edge/LiteRT-LM](https://github.com/google-ai-edge/LiteRT-LM) - Google inference framework for running LLMs on edge and mobile devices. - [software-mansion/react-native-executorch](https://github.com/software-mansion/react-native-executorch) - On-device AI inference library for React Native built on ExecuTorch. - [sauravpanda/BrowserAI](https://github.com/sauravpanda/BrowserAI) - Run local LLMs and speech models directly in the browser via WebGPU. - [SciSharp/LLamaSharp](https://github.com/SciSharp/LLamaSharp) - C# and .NET bindings for llama.cpp to run LLMs locally. - [off-grid-ai/OGAM](https://github.com/off-grid-ai/OGAM) - Offline mobile AI app for chat, vision, speech and image generation on-device. - [Mobile-Artificial-Intelligence/maid](https://github.com/Mobile-Artificial-Intelligence/maid) - Free open-source app for running llama.cpp models locally on mobile and desktop. - [AtomicBot-ai/Atomic-Chat](https://github.com/AtomicBot-ai/Atomic-Chat) - Local AI app and inference engine for running open-weight LLMs privately. - [cactus-compute/needle](https://github.com/cactus-compute/needle) - Tiny 2-bit tool-calling model for running agents on small devices. - [alibaba/MNN](https://github.com/alibaba/MNN) - Blazing-fast lightweight inference engine for on-device and edge AI. - [Tencent/ncnn](https://github.com/Tencent/ncnn) - High-performance neural network inference optimized for mobile. - [openvinotoolkit/openvino](https://github.com/openvinotoolkit/openvino) - Optimize and deploy AI inference across Intel hardware. - [google-ai-edge/mediapipe](https://github.com/google-ai-edge/mediapipe) - Cross-platform ML solutions for live and streaming media. - [apple/coremltools](https://github.com/apple/coremltools) - Tools for Core ML model conversion, editing, and validation. - [dusty-nv/jetson-containers](https://github.com/dusty-nv/jetson-containers) - Machine learning containers for NVIDIA Jetson edge deployment. - [pytorch/executorch](https://github.com/pytorch/executorch) - On-device AI across mobile and embedded for PyTorch models. - [Edge0-AI/Edge0](https://github.com/Edge0-AI/Edge0) - Streaming mixture-of-experts inference with SSD expert offload on any device. **KV cache, kernels & speculative decoding** - [LMCache/LMCache](https://github.com/LMCache/LMCache) - KV cache layer that accelerates LLM serving across inference engines. - [flashinfer-ai/flashinfer](https://github.com/flashinfer-ai/flashinfer) - Kernel library with high-performance attention kernels for LLM serving. - [thu-ml/SageAttention](https://github.com/thu-ml/SageAttention) - Quantized attention kernels 2-5x faster than FlashAttention without accuracy loss. - [rednote-machine-learning/RedKnot](https://github.com/rednote-machine-learning/RedKnot) - Efficient long-context LLM serving with head-aware KV cache reuse. - [0xSero/turboquant](https://github.com/0xSero/turboquant) - Near-optimal KV cache quantization for LLM inference with vLLM integration. - [Zefan-Cai/KVCache-Factory](https://github.com/Zefan-Cai/KVCache-Factory) - Unified implementations of KV cache compression methods for autoregressive models. - [Zefan-Cai/R-KV](https://github.com/Zefan-Cai/R-KV) - Redundancy-aware KV cache compression for reasoning models. - [sgl-project/SpecForge](https://github.com/sgl-project/SpecForge) - Train speculative decoding models and port them to SGLang serving. - [scrya-com/rotorquant](https://github.com/scrya-com/rotorquant) - KV cache compression via block-diagonal rotation with llama.cpp integration. - [ModelEngine-Group/unified-cache-management](https://github.com/ModelEngine-Group/unified-cache-management) - Persist and reuse KV cache to speed up your LLM serving. - [SafeAILab/EAGLE](https://github.com/SafeAILab/EAGLE) - Speculative decoding implementation (EAGLE-1/2/3) for faster LLM inference. - [ovg-project/kvcached](https://github.com/ovg-project/kvcached) - Virtualized elastic KV cache for dynamic GPU sharing across LLM servers. - [deepseek-ai/FlashMLA](https://github.com/deepseek-ai/FlashMLA) - DeepSeek's efficient multi-head latent attention kernels. - [tile-ai/tilelang](https://github.com/tile-ai/tilelang) - Language for writing high-performance GPU and accelerator kernels. **Quantization & compression** - [bitsandbytes-foundation/bitsandbytes](https://github.com/bitsandbytes-foundation/bitsandbytes) - K-bit quantization for PyTorch to run large models on limited VRAM. - [NVIDIA/Model-Optimizer](https://github.com/NVIDIA/Model-Optimizer) - Unified library of quantization, pruning, and distillation for model deployment. - [vllm-project/llm-compressor](https://github.com/vllm-project/llm-compressor) - Production-grade LLM compression toolkit built for vLLM inference. - [intel/neural-compressor](https://github.com/intel/neural-compressor) - Low-bit quantization and sparsity toolkit for PyTorch, TensorFlow, and ONNX. - [intel/auto-round](https://github.com/intel/auto-round) - Post-training quantization toolkit for high-accuracy low-bit LLM inference. - [Tencent/AngelSlim](https://github.com/Tencent/AngelSlim) - Model compression toolkit engineered for usability and efficiency. - [PaddlePaddle/PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim) - Open-source library for deep model compression and architecture search. - [Vahe1994/AQLM](https://github.com/Vahe1994/AQLM) - Extreme LLM compression via additive quantization with official PyTorch code. - [ModelCloud/GPTQModel](https://github.com/ModelCloud/GPTQModel) - LLM quantization toolkit with hardware acceleration for NVIDIA, AMD, and Intel. **Training & fine-tuning** - [h2oai/h2o-llmstudio](https://github.com/h2oai/h2o-llmstudio) - No-code GUI for LLM finetuning. - [unslothai/unsloth](https://github.com/unslothai/unsloth) - Fine-tune and run LLMs locally, fast and memory-efficient. - [huggingface/transformers](https://github.com/huggingface/transformers) - The model library; everything starts here. - [huggingface/peft](https://github.com/huggingface/peft) - LoRA and other parameter-efficient fine-tuning methods. - [axolotl-ai-cloud/axolotl](https://github.com/axolotl-ai-cloud/axolotl) - Config-driven fine-tuning for many architectures. - [hiyouga/LlamaFactory](https://github.com/hiyouga/LlamaFactory) - Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024). - [deepspeedai/DeepSpeed](https://github.com/deepspeedai/DeepSpeed) - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - [hpcaitech/ColossalAI](https://github.com/hpcaitech/ColossalAI) - Making large AI models cheaper, faster and more accessible. - [Lightning-AI/pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. - [Lightning-AI/litgpt](https://github.com/Lightning-AI/litgpt) - Hackable LLM training and finetuning codebase. - [meta-pytorch/torchtune](https://github.com/meta-pytorch/torchtune) - PyTorch-native LLM finetuning library. - [allenai/open-instruct](https://github.com/allenai/open-instruct) - Open toolkit for instruction-tuning language models. - [huggingface/alignment-handbook](https://github.com/huggingface/alignment-handbook) - Robust recipes for training aligned language models. - [huggingface/open-r1](https://github.com/huggingface/open-r1) - Open reproduction of DeepSeek-R1 reasoning training. - [pytorch/pytorch](https://github.com/pytorch/pytorch) - Tensors and neural networks in Python with GPU acceleration. - [tensorflow/tensorflow](https://github.com/tensorflow/tensorflow) - Google's open-source machine learning framework. **Hardware fit & benchmarks** - [AlexsJones/llmfit](https://github.com/AlexsJones/llmfit) - One command to find which models fit your hardware. - [signerless/llm-checker](https://github.com/signerless/llm-checker) - Scan your hardware and get exact runnable-model recommendations. - [Andyyyy64/whichllm](https://github.com/Andyyyy64/whichllm) - Benchmark local LLMs on your own hardware to find the one that actually runs. - [noonghunna/club-3090](https://github.com/noonghunna/club-3090) - Community recipes for serving LLMs on RTX 3090, 4090, and 5090 GPUs. - [gengchaogit/llm_speedtest](https://github.com/gengchaogit/llm_speedtest) - Speed test tool for local LLM inference. - [uncSoft/anubis-oss](https://github.com/uncSoft/anubis-oss) - Local LLM testing and benchmarking for Apple Silicon. - [SemiAnalysisAI/InferenceX](https://github.com/SemiAnalysisAI/InferenceX) - Open-source inference benchmarking platform comparing LLM serving across hardware. - [vllm-project/guidellm](https://github.com/vllm-project/guidellm) - Benchmark and optimize LLM deployments for real-world inference needs. ## Evaluation, Observability & Code Review *Trace, test and red-team agents, and review the code they write.* **Tracing & observability** - [langfuse/langfuse](https://github.com/langfuse/langfuse) - Open-source LLM observability: traces, evals, prompt management; self-hostable. - [Arize-ai/phoenix](https://github.com/Arize-ai/phoenix) - OpenTelemetry-based tracing and evaluation for LLM apps. - [traceloop/openllmetry](https://github.com/traceloop/openllmetry) - OpenTelemetry instrumentation for every major LLM library. - [langchain-ai/langsmith-sdk](https://github.com/langchain-ai/langsmith-sdk) - SDK for LangSmith tracing and datasets. - [raga-ai-hub/RagaAI-Catalyst](https://github.com/raga-ai-hub/RagaAI-Catalyst) - Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features. - [evidentlyai/evidently](https://github.com/evidentlyai/evidently) - Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor. - [Helicone/helicone](https://github.com/Helicone/helicone) - Open-source LLM observability platform plus AI gateway with caching and cost tracking. - [openlit/openlit](https://github.com/openlit/openlit) - OpenTelemetry-native observability and evaluation for AI and coding agents. - [jaegertracing/jaeger](https://github.com/jaegertracing/jaeger) - CNCF distributed tracing platform; the standard trace backend for production systems. - [FailproofAI/failproofai](https://github.com/FailproofAI/failproofai) - Observability and enforcement for AI agents in production. - [latitude-dev/latitude-llm](https://github.com/latitude-dev/latitude-llm) - Observability platform for AI agents and LLM apps. - [pydantic/logfire](https://github.com/pydantic/logfire) - OpenTelemetry-native observability for AI applications. - [lmnr-ai/lmnr](https://github.com/lmnr-ai/lmnr) - LLM observability and evaluation platform (Laminar). - [pezzolabs/pezzo](https://github.com/pezzolabs/pezzo) - Prompt management and LLM observability toolkit. - [future-agi/future-agi](https://github.com/future-agi/future-agi) - AI evaluation and observability platform. - [Arize-ai/openinference](https://github.com/Arize-ai/openinference) - OpenTelemetry instrumentation for AI applications. - [Scale3-Labs/langtrace](https://github.com/Scale3-Labs/langtrace) - OpenTelemetry-based LLM observability SDK. - [traceroot-ai/traceroot](https://github.com/traceroot-ai/traceroot) - Observability for self-improving AI agents. - [databufflabs/databuff](https://github.com/databufflabs/databuff) - AI-native APM built on OpenTelemetry. - [traceloop/openllmetry-js](https://github.com/traceloop/openllmetry-js) - Open-source LLM observability for JavaScript. - [evilmartians/agent-prism](https://github.com/evilmartians/agent-prism) - Trace visualization for AI agent runs. - [Jwuthri/Tracely-ai](https://github.com/Jwuthri/Tracely-ai) - Trace-native CI/CD pipelines for AI agents. - [langfuse/langfuse-js](https://github.com/langfuse/langfuse-js) - Langfuse observability SDK for JavaScript. - [langfuse/oss-llmops-stack](https://github.com/langfuse/oss-llmops-stack) - Open-source LLMOps stack with observability. - [niklasfrick/spark-dashboard](https://github.com/niklasfrick/spark-dashboard) - GPU and LLM inference monitoring dashboard. - [inferock/inferock-bench](https://github.com/inferock/inferock-bench) - LLM cost-tracking proxy with verifiable receipts. - [tma1-ai/tma1](https://github.com/tma1-ai/tma1) - Local-first observability for AI agents. - [Netis/heron](https://github.com/Netis/heron) - Agent API performance monitoring via packet probe. - [splunk/token-meter](https://github.com/splunk/token-meter) - Dashboard for AI agent token usage and cost. - [theagentplane/tokenops](https://github.com/theagentplane/tokenops) - Token governance for AI agent fleets. - [T-Sunm/rag-ops](https://github.com/T-Sunm/rag-ops) - LLMOps template for RAG applications. - [llmops-build/llmops](https://github.com/llmops-build/llmops) - Toolkit for LLM operations. - [dunetrace/dunetrace](https://github.com/dunetrace/dunetrace) - Reliability layer for AI agents. - [last9/gpu-telemetry](https://github.com/last9/gpu-telemetry) - GPU observability for inference workloads. - [TechNickAI/claude_telemetry](https://github.com/TechNickAI/claude_telemetry) - OpenTelemetry wrapper for Claude Code CLI. - [overmind-core/overmind](https://github.com/overmind-core/overmind) - Platform for continuously improving AI agents. - [alibaba/loongsuite-pilot](https://github.com/alibaba/loongsuite-pilot) - Telemetry collector for coding agents. - [slavaZim/episodiq](https://github.com/slavaZim/episodiq) - Economical human-readable logs for agentic trajectories. - [comet-ml/opik](https://github.com/comet-ml/opik) - Open-source LLM evaluation and observability platform. - [VTSTech/ACP-Agent-Control-Panel](https://github.com/VTSTech/ACP-Agent-Control-Panel) - Lightweight monitoring sidecar and web UI for AI agents. - [SigNoz/signoz](https://github.com/SigNoz/signoz) - Open-source APM and observability with OpenTelemetry. - [grafana/grafana](https://github.com/grafana/grafana) - Dashboards and alerting for metrics, logs and traces. - [MonishGosar/opentrajectory](https://github.com/MonishGosar/opentrajectory) - Local-first observability for AI agents and coding-agent workflows. - [acailic/agent_debugger](https://github.com/acailic/agent_debugger) - Local-first agent debugger with replay and drift detection. - [KNeegcyao/agent-inspect](https://github.com/KNeegcyao/agent-inspect) - DevTools for AI agents: pause, step, and fork counterfactual branches. - [nyktora/noctrace](https://github.com/nyktora/noctrace) - Network-tab-style waterfall visualizer for Claude Code agent workflows. - [umairinayat/AgentTrace](https://github.com/umairinayat/AgentTrace) - Open-source observability platform for tracing multi-agent AI systems. - [rajudandigam/agent-inspect](https://github.com/rajudandigam/agent-inspect) - Local-first debugger capturing AI agent execution trees for CI checks. - [raghuece455/AgentMesh](https://github.com/raghuece455/AgentMesh) - Self-hosted observability, trace replay, and cost analytics for AI agents. - [AgentOps-AI/agentops](https://github.com/AgentOps-AI/agentops) - Python SDK for AI agent monitoring, cost tracking and benchmarking. **Evaluation** - [promptfoo/promptfoo](https://github.com/promptfoo/promptfoo) - Test prompts and agents like code; CI-friendly with red-teaming. - [confident-ai/deepeval](https://github.com/confident-ai/deepeval) - Pytest-style unit tests for LLM outputs. - [vibrantlabsai/ragas](https://github.com/vibrantlabsai/ragas) - Evaluation metrics for RAG pipelines. - [openai/evals](https://github.com/openai/evals) - OpenAI's eval framework and registry. - [EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) - Standard framework for few-shot LLM evaluation. - [open-compass/opencompass](https://github.com/open-compass/opencompass) - OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI. - [UKGovernmentBEIS/inspect_ai](https://github.com/UKGovernmentBEIS/inspect_ai) - LLM evaluation framework from the UK AI Security Institute with 200+ agentic benchmarks. - [microsoft/promptflow](https://github.com/microsoft/promptflow) - Microsoft's toolkit for building, tracing, and evaluating LLM flows and agents. - [fivetran/great_expectations](https://github.com/fivetran/great_expectations) - Data validation framework for testing eval datasets and pipeline data quality. - [dataelement/bisheng](https://github.com/dataelement/bisheng) - Open-source LLM application DevOps platform with evaluation. - [coze-dev/coze-loop](https://github.com/coze-dev/coze-loop) - Agent development and optimization platform with evaluation loops. - [microsoft/prompty](https://github.com/microsoft/prompty) - Prompt asset format for creating, managing, and evaluating prompts. - [plurai-ai/intellagent](https://github.com/plurai-ai/intellagent) - Diagnose AI agents through synthetic interactions. - [JudgmentLabs/judgeval](https://github.com/JudgmentLabs/judgeval) - Continuous improvement stack for AI agent evaluation. - [relari-ai/continuous-eval](https://github.com/relari-ai/continuous-eval) - Data-driven evaluation for LLM applications. - [rhesis-ai/rhesis](https://github.com/rhesis-ai/rhesis) - Collaboration layer for reviewing agent behavior. - [alphadl/AdaRubrics](https://github.com/alphadl/AdaRubrics) - Evaluator for AI agent trajectories. - [AgentEvalHQ/AgentEval](https://github.com/AgentEvalHQ/AgentEval) - Evaluation toolkit for .NET AI agents. - [google/litmus](https://github.com/google/litmus) - LLM testing and evaluation tool with a friendly UI. - [HiThink-Research/GAGE](https://github.com/HiThink-Research/GAGE) - Unified evaluation engine for LLMs and multimodal models. - [skillberry-ai/cap-evolve](https://github.com/skillberry-ai/cap-evolve) - Optimize agent skills against your own evals. - [dokimos-dev/dokimos](https://github.com/dokimos-dev/dokimos) - LLM and agent evaluation for Java and Kotlin. - [TIGER-AI-Lab/RewardHarness](https://github.com/TIGER-AI-Lab/RewardHarness) - Self-evolving reward framework for agent evaluation. - [meshkovQA/Eval-ai-library](https://github.com/meshkovQA/Eval-ai-library) - AI model evaluation framework with 15+ metrics. - [cristianodabc/aludel](https://github.com/cristianodabc/aludel) - LLM evaluation and observability for Elixir. - [paradime-io/dbt-llm-evals](https://github.com/paradime-io/dbt-llm-evals) - Warehouse-native LLM evaluation for dbt. - [maida-ai/maida](https://github.com/maida-ai/maida) - Pre-merge behavioral regression gate for AI agents. - [ProofAgent-ai/proofagent-harness](https://github.com/ProofAgent-ai/proofagent-harness) - Test harness for AI agents in CI. - [tolitius/cupel](https://github.com/tolitius/cupel) - Discover LLMs punching above their weight. - [cvs-health/uqlm](https://github.com/cvs-health/uqlm) - Python package for uncertainty quantification and hallucination detection in LLMs. - [raindrop-ai/workshop](https://github.com/raindrop-ai/workshop) - Lets coding agents write and run agent evals. - [truera/trulens](https://github.com/truera/trulens) - Evaluation and tracking for LLM experiments and AI agents. - [Agenta-AI/agenta](https://github.com/Agenta-AI/agenta) - LLMOps: prompt playground, management, evals and observability. - [Kiln-AI/Kiln](https://github.com/Kiln-AI/Kiln) - Build, evaluate and optimize AI systems with a desktop UI. - [open-compass/VLMEvalKit](https://github.com/open-compass/VLMEvalKit) - Evaluation toolkit covering 220+ multimodal models and 80+ benchmarks. - [perezjoan/UVLM](https://github.com/perezjoan/UVLM) - Unified Python interface for reproducible vision-language model benchmarking. - [google-research/true](https://github.com/google-research/true) - Code and data for re-evaluating factual consistency metrics. - [METR/vivaria](https://github.com/METR/vivaria) - Platform for running agent evaluations and elicitation research. - [langwatch/langwatch](https://github.com/langwatch/langwatch) - Open platform for LLM evaluations and AI agent testing. - [jameswniu/self-hosted-llm-evals-lab](https://github.com/jameswniu/self-hosted-llm-evals-lab) - Self-hosted LLM eval lab with systematic prompt ablation. - [sdivyanshu90/build-your-own-llm-evals](https://github.com/sdivyanshu90/build-your-own-llm-evals) - Typed monorepo for reproducible offline LLM and RAG evals. - [strands-agents/evals](https://github.com/strands-agents/evals) - Agent evaluation with judges, simulations, traces, and red teaming. - [vostride/agent-qa](https://github.com/vostride/agent-qa) - Open-source self-improving QA agent for software teams. - [CodeEmperor7/rag-eval](https://github.com/CodeEmperor7/rag-eval) - Production-style AI assistant with evaluation and monitoring. **Benchmarks** - [amazon-science/SWE-PolyBench](https://github.com/amazon-science/SWE-PolyBench) - Multilingual benchmark for software engineering agents. - [jeinlee1991/chinese-llm-benchmark](https://github.com/jeinlee1991/chinese-llm-benchmark) - Benchmark suite for Chinese large language models. - [EvolvingLMMs-Lab/lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) - Evaluation toolkit for large multimodal models. - [TIGER-AI-Lab/ClawBench](https://github.com/TIGER-AI-Lab/ClawBench) - Benchmark for browser-use AI agents. - [OpenBMB/UltraEval-Audio](https://github.com/OpenBMB/UltraEval-Audio) - Benchmark for audio language models. - [solis-team/XRepoTest](https://github.com/solis-team/XRepoTest) - Repository-level test generation benchmark. - [alibaba-multimodal-industrial-ai/IndustryBench](https://github.com/alibaba-multimodal-industrial-ai/IndustryBench) - Industrial benchmark for multimodal models. - [open-compass/GTA](https://github.com/open-compass/GTA) - Benchmark for tool-using AI agents. - [reacher-z/HarnessBench](https://github.com/reacher-z/HarnessBench) - Benchmark comparing agent harnesses on online tasks. - [PhiloLabs/agentic-vbench](https://github.com/PhiloLabs/agentic-vbench) - Benchmark of post-production agent tasks. - [InternScience/SciEvalKit](https://github.com/InternScience/SciEvalKit) - Scientific evaluation toolkit for LLMs. - [HiThink-Research/BizFinBench](https://github.com/HiThink-Research/BizFinBench) - Bilingual financial benchmark for LLMs. - [HiThink-Research/MME-Finance](https://github.com/HiThink-Research/MME-Finance) - Multimodal finance benchmark for expert reasoning. - [whitecircle/circle-guard-bench](https://github.com/whitecircle/circle-guard-bench) - Benchmark for LLM guardrails. - [OpenMOSS/SWE-bench-Science](https://github.com/OpenMOSS/SWE-bench-Science) - Coding agent benchmark for scientific tasks. - [OpenMOSS/ABC-Bench](https://github.com/OpenMOSS/ABC-Bench) - Benchmark for coding agents building backend services. - [LeoYeAI/myclaw-bench](https://github.com/LeoYeAI/myclaw-bench) - Benchmark for OpenClaw agents. - [Gen-Verse/PAST-Bench](https://github.com/Gen-Verse/PAST-Bench) - Benchmark for recursive self-improvement in agents. - [thedataquarry/structured-outputs](https://github.com/thedataquarry/structured-outputs) - Benchmark comparing structured output approaches. - [RISE-UNIBAS/humanities_data_benchmark](https://github.com/RISE-UNIBAS/humanities_data_benchmark) - Benchmark suite for humanities data tasks. - [nickname21kmr/gameops-investigator](https://github.com/nickname21kmr/gameops-investigator) - Evals for incident investigation agents. - [voratiq/voratiq](https://github.com/voratiq/voratiq) - Benchmark comparing coding agents head-to-head. - [Vchitect/VBench](https://github.com/Vchitect/VBench) - Benchmark suite for evaluating video generation models. - [sierra-research/tau-bench](https://github.com/sierra-research/tau-bench) - Benchmark for tool-augmented AI agents. - [allenai/reward-bench](https://github.com/allenai/reward-bench) - Benchmark for evaluating reward models for language models. - [METR/public-tasks](https://github.com/METR/public-tasks) - Suite of tasks for evaluating autonomous AI agents. - [sierra-research/tau2-bench](https://github.com/sierra-research/tau2-bench) - Benchmark for evaluating AI agents on telecom support tasks. - [SWE-bench/SWE-bench](https://github.com/SWE-bench/SWE-bench) - Benchmark harness evaluating models on real-world software issues. - [THUDM/AgentBench](https://github.com/THUDM/AgentBench) - Multi-environment benchmark for evaluating LLMs as agents. - [UKGovernmentBEIS/inspect_evals](https://github.com/UKGovernmentBEIS/inspect_evals) - Maintained evaluation suites built on the Inspect AI framework. **Security & red-teaming** - [meta-llama/PurpleLlama](https://github.com/meta-llama/PurpleLlama) - Llama Guard and CyberSecEval for safe deployments. - [OWASP/www-project-top-10-for-large-language-model-applications](https://github.com/OWASP/www-project-top-10-for-large-language-model-applications) - The OWASP Top 10 for LLM apps; read before shipping an agent with tools. - [ifixai-ai/iFixAi](https://github.com/ifixai-ai/iFixAi) - Independent auditing platform for AI agents and models. - [Tencent/AI-Infra-Guard](https://github.com/Tencent/AI-Infra-Guard) - AI infrastructure security evaluation and red-teaming platform. - [Justin0504/Aegis](https://github.com/Justin0504/Aegis) - Runtime policy enforcement for AI agents. - [getagentseal/agentseal](https://github.com/getagentseal/agentseal) - Security toolkit testing agents against prompt injection. - [aiverify-foundation/moonshot](https://github.com/aiverify-foundation/moonshot) - Toolkit for LLM evaluation and red-teaming. - [AgentSafeLabs/safelabs-eval](https://github.com/AgentSafeLabs/safelabs-eval) - Red-teaming evaluation framework for agents. - [techlab-innov/llmtrace](https://github.com/techlab-innov/llmtrace) - Zero-code LLM security and observability proxy. - [IBM/ares](https://github.com/IBM/ares) - AI robustness evaluation system. - [guardana/guardana](https://github.com/guardana/guardana) - AI security verification platform. - [mintesnot-teshome/llm-verify](https://github.com/mintesnot-teshome/llm-verify) - Detect fake AI APIs with behavioral fingerprinting. - [cyberful/cyberful](https://github.com/cyberful/cyberful) - AI red-teaming for security evaluation. - [AISecurityConsortium/AIGoat](https://github.com/AISecurityConsortium/AIGoat) - AI security playground for red-teaming practice. - [regaan/basilisk](https://github.com/regaan/basilisk) - Open-source AI red-teaming framework with prompt evolution. - [ToseaAI/llm-fingerprint-detector](https://github.com/ToseaAI/llm-fingerprint-detector) - Verify which LLM an API really serves. - [crucible-security/crucible](https://github.com/crucible-security/crucible) - Red-teaming and security testing for LLM agents. - [delphisecurity/xaidr](https://github.com/delphisecurity/xaidr) - Runtime security for AI agents. - [splx-ai/agentic-radar](https://github.com/splx-ai/agentic-radar) - Security scanner for agentic workflows. - [ProjectRecon/awesome-ai-agents-security](https://github.com/ProjectRecon/awesome-ai-agents-security) - Living map of AI agent security resources. - [AI45Lab/OpenRT](https://github.com/AI45Lab/OpenRT) - Open red-teaming framework for LLM safety. - [PurCL/ASTRA](https://github.com/PurCL/ASTRA) - Attacking-team framework for LLM safety evaluation. - [cyberark/FuzzyAI](https://github.com/cyberark/FuzzyAI) - Automated LLM fuzzing tool for finding jailbreaks and vulnerabilities. **Fairness & governance** - [Trusted-AI/AIF360](https://github.com/Trusted-AI/AIF360) - Fairness metrics and bias-mitigation algorithms. - [Nexus-Router/nexus](https://github.com/Nexus-Router/nexus) - Govern and secure your AI model usage. - [verifywise-ai/verifywise](https://github.com/verifywise-ai/verifywise) - AI governance platform with LLM evaluations. - [cvs-health/langfair](https://github.com/cvs-health/langfair) - LLM bias and fairness assessments. - [SantanderAI/mech-gov-framework](https://github.com/SantanderAI/mech-gov-framework) - Governance regimes for AI systems. - [JehanneDussert/govllm](https://github.com/JehanneDussert/govllm) - Continuous LLM governance monitoring for regulated environments. - [debiai/DebiAI](https://github.com/debiai/DebiAI) - Bias detection and contextual evaluation for AI projects. **Code review** - [aryanbrite/openrabbit](https://github.com/aryanbrite/openrabbit) - AI code review bot posting inline PR feedback. - [antongulin/robin](https://github.com/antongulin/robin) - Free AI code reviews on every pull request via Actions. - [james2doyle/ante-ci-bot](https://github.com/james2doyle/ante-ci-bot) - CI action running sub-agent reviewers on pull requests. - [joeblackwaslike/ai-review-bot](https://github.com/joeblackwaslike/ai-review-bot) - Autonomous multi-agent PR reviewer. - [mountainowl/bubo](https://github.com/mountainowl/bubo) - Self-hosted agentic code review for GitHub and GitLab. - [nhatvu148/kaniscope-action](https://github.com/nhatvu148/kaniscope-action) - AI code review action with line-anchored inline comments. - [pgup-ai/jbot-review-action](https://github.com/pgup-ai/jbot-review-action) - GitHub Action for AI-powered PR reviews. - [pgup-ai/jbot-review](https://github.com/pgup-ai/jbot-review) - Agentic PR reviewer as in-repo workflow and GitHub App. - [secondsky/z.ai-code-review-bot](https://github.com/secondsky/z.ai-code-review-bot) - PR review bot with deterministic scanners and inline comments. - [alibaba/open-code-review](https://github.com/alibaba/open-code-review) - Hybrid deterministic + LLM code review, battle-tested at Alibaba scale. - [The-PR-Agent/pr-agent](https://github.com/The-PR-Agent/pr-agent) - AI pull-request review, description and improvement suggestions. - [jesseduffield/lazygit](https://github.com/jesseduffield/lazygit) - Terminal UI for reviewing what your agent just did to git. - [sourcery-ai/sourcery](https://github.com/sourcery-ai/sourcery) - AI-powered code review and refactoring for Python. - [kodustech/kodus-ai](https://github.com/kodustech/kodus-ai) - AI code review agent for pull requests. - [hyhmrright/brooks-lint](https://github.com/hyhmrright/brooks-lint) - AI code reviews grounded in classic engineering books. - [HexmosTech/git-lrc](https://github.com/HexmosTech/git-lrc) - AI code reviews delivered on every commit. - [codexstar69/bug-hunter](https://github.com/codexstar69/bug-hunter) - Adversarial bug hunter for codebases. - [Nayjest/Gito](https://github.com/Nayjest/Gito) - AI code review assistant for Git workflows. - [miracodeai/mira](https://github.com/miracodeai/mira) - Self-hosted AI code reviewer. - [devarshishimpi/codra](https://github.com/devarshishimpi/codra) - Self-hosted AI code review on Cloudflare Workers. - [Juror-AI/juror](https://github.com/Juror-AI/juror) - AI code review agent for GitHub pull requests. - [simion/reviewd](https://github.com/simion/reviewd) - Local AI pull request reviewer for the terminal. - [openqa-cn/codexqa](https://github.com/openqa-cn/codexqa) - Agent skills for code review and defect scanning. - [officefloor/ImpactGate](https://github.com/officefloor/ImpactGate) - Code review driven by change impact analysis. - [w1ckedxt/cynical-sally](https://github.com/w1ckedxt/cynical-sally) - Brutally honest AI code reviews with refactoring. - [mattzcarey/shippie](https://github.com/mattzcarey/shippie) - Extendable AI code review and QA agent for CI pipelines. - [modem-dev/hunk](https://github.com/modem-dev/hunk) - Review-first terminal diff viewer for reviewing agent-written code. ## Production Architectures & Reference Systems *Complete, opinionated systems worth reading end to end.* **Reference architectures** - [FareedKhan-dev/production-grade-agentic-system](https://github.com/FareedKhan-dev/production-grade-agentic-system) - The seven layers of a production agentic system. - [apache/kafka](https://github.com/apache/kafka) - Distributed event-streaming platform; the backbone of event-driven agent systems. - [vdonthireddy/agentic-ai](https://github.com/vdonthireddy/agentic-ai) - Complete modular architecture for autonomous agents with local and cloud LLMs. - [Poochaman/enterprise-agentic-ai](https://github.com/Poochaman/enterprise-agentic-ai) - Architectures for deploying agentic AI systems in enterprises. - [fernando-moretes/app-aws-agentic-ai-reference-architecture](https://github.com/fernando-moretes/app-aws-agentic-ai-reference-architecture) - Bilingual AWS agentic AI reference architecture with guardrails. - [mh-naderi/distributed-agent-orchestrator](https://github.com/mh-naderi/distributed-agent-orchestrator) - Distributed multi-agent system on MCP and LangGraph over Kubernetes. - [vpeetla-ai/aegisai-enterprise-agent-platform](https://github.com/vpeetla-ai/aegisai-enterprise-agent-platform) - Enterprise agent governance: gateway, HITL, OPA policy, audit. - [yaalalabs/agent-kernel](https://github.com/yaalalabs/agent-kernel) - Operating system for scalable enterprise AI agents. - [aws-samples/sample-stateful-agentic-ai-workflows-aurora-mcp-agentcore](https://github.com/aws-samples/sample-stateful-agentic-ai-workflows-aurora-mcp-agentcore) - Stateful agentic workflows on Aurora PostgreSQL with MCP and AgentCore. - [aws-samples/sample-agentic-cost-optimizer](https://github.com/aws-samples/sample-agentic-cost-optimizer) - Reference architecture for agentic cost optimization on AWS. - [aws-samples/sample-pellier-agentic-search-apg](https://github.com/aws-samples/sample-pellier-agentic-search-apg) - Agentic AI-powered search with Aurora PostgreSQL and Bedrock AgentCore. - [mongodb-partners/mdb-temporal-pra](https://github.com/mongodb-partners/mdb-temporal-pra) - Production reference for durable, change-driven RAG with a deep agent. - [opena2a-org/agent-identity-management](https://github.com/opena2a-org/agent-identity-management) - IAM layer for AI agents: identity, authorization, audit trails. - [amd-enterprise-ai/solution-blueprints](https://github.com/amd-enterprise-ai/solution-blueprints) - AMD inference microservice blueprints for agentic AI on Kubernetes. - [aws-samples/sample-ai-agent-factory](https://github.com/aws-samples/sample-ai-agent-factory) - Enterprise agentic AI platform blueprint on AWS with Bedrock AgentCore guardrails. - [mastroke/agentic-mlops-foundry](https://github.com/mastroke/agentic-mlops-foundry) - Reference architecture for deployable agentic AI services with eval gates and CI. - [Ismail-2001/The-Kubernetes-of-AI-Agents](https://github.com/Ismail-2001/The-Kubernetes-of-AI-Agents) - Enterprise-grade agent orchestration platform on Kubernetes with evals and alerts. - [UnicoLab/agentomatic](https://github.com/UnicoLab/agentomatic) - Zero-code multi-agent API platform framework with checkpointing and observability. - [potpie-ai/potpie](https://github.com/potpie-ai/potpie) - Context graph of your codebase that powers AI agents across the software lifecycle. - [UnicomAI/wanwu](https://github.com/UnicomAI/wanwu) - Enterprise multi-tenant agent platform with workflows, RAG and model management. - [TrafficGuard/typedai](https://github.com/TrafficGuard/typedai) - TypeScript AI platform with chat, autonomous agents and a software developer agent. - [EmbeddedLLM/JamAIBase](https://github.com/EmbeddedLLM/JamAIBase) - Spreadsheet-style backend for chaining LLM cells into AI pipelines. - [heymrun/heym](https://github.com/heymrun/heym) - Platform for building, orchestrating and monitoring agentic systems and automations. - [FareedKhan-dev/all-agentic-architectures](https://github.com/FareedKhan-dev/all-agentic-architectures) - 35 production-grade agentic AI architectures with runnable implementations. **Templates & starter kits** - [SaqlainXoas/python-ai-deployment-guide](https://github.com/SaqlainXoas/python-ai-deployment-guide) - Production deployment of Python AI apps with FastAPI. - [GoogleCloudPlatform/agent-starter-pack](https://github.com/GoogleCloudPlatform/agent-starter-pack) - Production-ready agent templates for Google Cloud with CI/CD, evals, and observability. - [google/adk-recipes](https://github.com/google/adk-recipes) - Official sample agents built with Google's Agent Development Kit. - [vercel/chatbot](https://github.com/vercel/chatbot) - Full-featured, hackable Next.js AI chatbot template built by Vercel. - [dhirajpatra/LangGraph-RAG-Agent-Local-Kubernetes-Demo](https://github.com/dhirajpatra/LangGraph-RAG-Agent-Local-Kubernetes-Demo) - LangGraph RAG agent demo running on a local Kubernetes cluster. - [Aryakumarjaiswal/Langgraph-notion-agent](https://github.com/Aryakumarjaiswal/Langgraph-notion-agent) - Production-ready task agent with LangGraph, Gemini, and Notion MCP. - [suresh-vutukuri/ai-agent-portfolio](https://github.com/suresh-vutukuri/ai-agent-portfolio) - Production-grade agent patterns with eval-driven development and CI. - [lkerriso/agentic-ai-local-to-kubernetes](https://github.com/lkerriso/agentic-ai-local-to-kubernetes) - Deploy agents from local to Kubernetes in 10 minutes. - [isathish/agenticaiframework](https://github.com/isathish/agenticaiframework) - Agentic AI framework with Docker and Kubernetes deployment. - [bruceherve/agno-agentic-platform-starter](https://github.com/bruceherve/agno-agentic-platform-starter) - Starter template for Agno AgentOS with Docker and Helm. - [idkhgxyy/fastapi_starter](https://github.com/idkhgxyy/fastapi_starter) - Production-grade FastAPI + RAG + AI agent full-stack starter with observability. - [vstorm-co/full-stack-ai-agent-template](https://github.com/vstorm-co/full-stack-ai-agent-template) - Full-stack AI app generator: FastAPI + Next.js, agents, RAG, auth, observability. - [CollinsNyatundo/production-ai-template](https://github.com/CollinsNyatundo/production-ai-template) - Containerized 9-layer AI/RAG template with hybrid search and OpenTelemetry. - [Arty2001/agentic-saas-starter](https://github.com/Arty2001/agentic-saas-starter) - LangGraph + FastAPI agent layer with plan approvals, evals, and a dev console. - [HongyuFu55/agent-demo](https://github.com/HongyuFu55/agent-demo) - Production-ready LangGraph agent app: auth, pgvector memory, Langfuse, metrics, evals. - [Karlsk/langgraph-deepagent-agent-paltform](https://github.com/Karlsk/langgraph-deepagent-agent-paltform) - Production LangGraph agent platform template with auth, evals, and Docker. **Production RAG systems** - [entbappy/Build-a-Complete-Medical-Chatbot-with-LLMs-LangChain-Pinecone-Flask-AWS](https://github.com/entbappy/Build-a-Complete-Medical-Chatbot-with-LLMs-LangChain-Pinecone-Flask-AWS) - End-to-end medical RAG chatbot deployed to AWS. - [singhankitsrf/AgentForge-Enterprise-Agentic-RAG](https://github.com/singhankitsrf/AgentForge-Enterprise-Agentic-RAG) - Governed multi-agent RAG platform with evals and observability. - [lalithdabilpuram01/enterprise_rag-with-GCP](https://github.com/lalithdabilpuram01/enterprise_rag-with-GCP) - Enterprise RAG app with document ingestion and vector embeddings on GCP. - [ismail-yahya/production-rag-system](https://github.com/ismail-yahya/production-rag-system) - Production-grade enterprise RAG system with CI pipeline. - [IBM/ai4rag](https://github.com/IBM/ai4rag) - RAG templates optimization engine with evaluation metrics and search-space orchestration. - [AdilShamim8/Agentic-RAG-Platform](https://github.com/AdilShamim8/Agentic-RAG-Platform) - Evaluated, secured, observable agentic RAG platform with RBAC and audit logs. - [Daksh1308-AI-ML/Production-RAG-with-Eval-Pipeline](https://github.com/Daksh1308-AI-ML/Production-RAG-with-Eval-Pipeline) - RAG system with eval pipeline, monitoring, and deployment architectures documented. - [jt-mchorse/rag-production-kit](https://github.com/jt-mchorse/rag-production-kit) - Production RAG reference: hybrid retrieval, reranking, citations, telemetry, evals. - [kantik001/grounded-llm](https://github.com/kantik001/grounded-llm) - Cited RAG platform with a 99-case eval gate, hybrid search, Helm, and multi-tenancy. - [isidhartha/formula-ai-chatbot](https://github.com/isidhartha/formula-ai-chatbot) - Full-stack AI chatbot: FastAPI, React, pgvector RAG, Redis, Docker Compose. - [revan8mata/ai-integration-rag-multi](https://github.com/revan8mata/ai-integration-rag-multi) - Production-style RAG chatbot backend with auth, webhooks, and rate limiting. - [aessaputra/rag-pdf-chatbot](https://github.com/aessaputra/rag-pdf-chatbot) - BYOK RAG PDF chatbot monorepo with SSE streaming and production Docker setup. - [tannguyen2k1/Chatbot-with-RAG](https://github.com/tannguyen2k1/Chatbot-with-RAG) - Multi-tenant enterprise RAG chatbot with RBAC, audit logging, and Qdrant. **Example apps & use cases** - [NirDiamant/agents-towards-production](https://github.com/NirDiamant/agents-towards-production) - Code-first tutorials for production GenAI agents. - [Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) - 100+ open-source agent, skill and RAG apps. - [ashishpatel26/500-AI-Agents-Projects](https://github.com/ashishpatel26/500-AI-Agents-Projects) - 500 agent use cases with implementations. - [Arindam200/awesome-ai-apps](https://github.com/Arindam200/awesome-ai-apps) - RAG, agent and workflow project showcase. - [souvikmajumder26/Multi-Agent-Medical-Assistant](https://github.com/souvikmajumder26/Multi-Agent-Medical-Assistant) - Multi-agent medical diagnostics assistant. - [hesamsheikh/awesome-openclaw-usecases](https://github.com/hesamsheikh/awesome-openclaw-usecases) - Real-world OpenClaw use cases. - [RUC-NLPIR/Awesome-Long-Horizon-Agents](https://github.com/RUC-NLPIR/Awesome-Long-Horizon-Agents) - Roadmap and papers for long-horizon agents. - [NirDiamant/GenAI_Agents](https://github.com/NirDiamant/GenAI_Agents) - 50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems. - [hoangsonww/EstateWise-Chapel-Hill-Chatbot](https://github.com/hoangsonww/EstateWise-Chapel-Hill-Chatbot) - AI real estate app with auth, conversations, and property recommendations. - [bytesbala/crewai-customer-support-agent](https://github.com/bytesbala/crewai-customer-support-agent) - Production-ready customer support system with CrewAI and Docker. - [VishnuAIHRschool/resolvex-ai-multi-agent-system](https://github.com/VishnuAIHRschool/resolvex-ai-multi-agent-system) - Enterprise multi-agent customer resolution platform with guardrails. - [vinkius-labs/crewai-mcp-lead-gen-agents](https://github.com/vinkius-labs/crewai-mcp-lead-gen-agents) - Multi-agent B2B lead generation with MCP servers. - [sinalkar/deskfleet](https://github.com/sinalkar/deskfleet) - Multi-agent support ticket resolver with tracing, cost accounting, and CI/CD Docker setup. - [vpeetla-ai/ai-content-factory](https://github.com/vpeetla-ai/ai-content-factory) - Multi-agent content pipeline with human-in-the-loop gates and production deploy. - [coleam00/ottomator-agents](https://github.com/coleam00/ottomator-agents) - Collection of AI agent templates and automation workflows. ## UI & Application Layer *Frontends, chat components, and app frameworks for putting agents in front of users.* **Chat & agent UI components** - [vercel/ai](https://github.com/vercel/ai) - Vercel AI SDK for streaming, tool-calling React/Next.js apps. - [CopilotKit/CopilotKit](https://github.com/CopilotKit/CopilotKit) - Drop in-app copilots and agent UIs into React. - [assistant-ui/assistant-ui](https://github.com/assistant-ui/assistant-ui) - Composable React components for chat interfaces. - [shadcn-ui/ui](https://github.com/shadcn-ui/ui) - Accessible React component standard behind most production AI chat frontends. - [vercel/ai-elements](https://github.com/vercel/ai-elements) - AI chat component library on shadcn/ui for streaming interfaces. - [ag-ui-protocol/ag-ui](https://github.com/ag-ui-protocol/ag-ui) - AG-UI protocol streaming agent state into any frontend. - [tambo-ai/tambo](https://github.com/tambo-ai/tambo) - Generative UI SDK for React: render components from LLM output. - [thesysdev/openui](https://github.com/thesysdev/openui) - Open standard and toolkit for LLM-generated UI components. - [CopilotKit/OpenGenerativeUI](https://github.com/CopilotKit/OpenGenerativeUI) - Open-source framework for agents that generate interactive UI. - [TanStack/ai](https://github.com/TanStack/ai) - Type-safe, provider-agnostic TypeScript SDK for streaming chat and tool calling. - [Simon-He95/markstream-vue](https://github.com/Simon-He95/markstream-vue) - Streaming Markdown renderers for AI chat in Vue, React and other frameworks. - [nlkitai/nlux](https://github.com/nlkitai/nlux) - JavaScript library for building conversational AI chat UIs. - [OvidijusParsiunas/deep-chat](https://github.com/OvidijusParsiunas/deep-chat) - Customizable embeddable AI chatbot web component. - [botfront/rasa-webchat](https://github.com/botfront/rasa-webchat) - Feature-rich embeddable chat widget for Rasa assistants. - [ant-design/x](https://github.com/ant-design/x) - React toolkit for building AI chat and agent interfaces. **Python app frameworks** - [Chainlit/chainlit](https://github.com/Chainlit/chainlit) - Build conversational AI UIs in minutes. - [streamlit/streamlit](https://github.com/streamlit/streamlit) - Fastest way to put a Python demo in front of users. - [gradio-app/gradio](https://github.com/gradio-app/gradio) - Web UIs for ML models with a few lines of Python. - [Textualize/textual](https://github.com/Textualize/textual) - Build rich terminal UIs in Python. - [reflex-dev/reflex](https://github.com/reflex-dev/reflex) - Build full-stack web apps in pure Python. - [Avaiga/taipy](https://github.com/Avaiga/taipy) - Python framework for AI dashboards and data apps. - [zauberzeug/nicegui](https://github.com/zauberzeug/nicegui) - Create web UIs with Python, the nice way. - [mesop-dev/mesop](https://github.com/mesop-dev/mesop) - Rapidly build AI apps in Python. - [widgetti/solara](https://github.com/widgetti/solara) - Pure-Python React-style framework for Jupyter and web apps. - [holoviz/panel](https://github.com/holoviz/panel) - Data exploration and web app framework for Python. - [flet-dev/flet](https://github.com/flet-dev/flet) - Realtime web, mobile and desktop apps in Python only. - [plotly/dash](https://github.com/plotly/dash) - Data apps in Python with Plotly charts. **Starter templates** - [vercel-labs/ai-sdk-starter-xai](https://github.com/vercel-labs/ai-sdk-starter-xai) - Next.js + AI SDK chatbot starter template on xAI. - [Floe-Labs/floe-vercel-ai-starter](https://github.com/Floe-Labs/floe-vercel-ai-starter) - Vercel AI SDK starter with hard spend caps out of the box. - [cloudflare/agents-starter](https://github.com/cloudflare/agents-starter) - Starter kit for building AI agents on Cloudflare Workers. - [Nutlope/twitterbio](https://github.com/Nutlope/twitterbio) - Next.js + AI SDK starter generating bios with streaming UI. - [Azure-Samples/azure-search-openai-demo](https://github.com/Azure-Samples/azure-search-openai-demo) - RAG chat UI over your data with Azure OpenAI. - [aws-samples/bedrock-chat](https://github.com/aws-samples/bedrock-chat) - Multi-model chat UI for Amazon Bedrock. - [upstash/rag-chat](https://github.com/upstash/rag-chat) - RAG chatbot library and starter with a chat UI. - [Kcheesee/rag-chatbot-starter-kit](https://github.com/Kcheesee/rag-chatbot-starter-kit) - Config-driven RAG chatbot boilerplate for web and Slack. - [DayuanJiang/next-ai-draw-io](https://github.com/DayuanJiang/next-ai-draw-io) - AI-assisted diagramming with draw.io in Next.js. **Web frameworks** - [vercel/next.js](https://github.com/vercel/next.js) - The React framework most production AI apps are built and deployed on. - [bigskysoftware/htmx](https://github.com/bigskysoftware/htmx) - Dynamic HTML without writing JavaScript. - [withastro/astro](https://github.com/withastro/astro) - Content-focused web framework with zero-JS default. - [nuxt/nuxt](https://github.com/nuxt/nuxt) - Intuitive Vue framework for full-stack apps. - [solidjs/solid](https://github.com/solidjs/solid) - Fine-grained reactive JavaScript framework. - [remix-run/remix](https://github.com/remix-run/remix) - Full-stack web framework focused on web fundamentals. - [sveltejs/svelte](https://github.com/sveltejs/svelte) - Cybernetically enhanced web apps with tiny bundles. - [QwikDev/qwik](https://github.com/QwikDev/qwik) - Instant-loading web apps with resumability. - [alpinejs/alpine](https://github.com/alpinejs/alpine) - Minimal JS framework for HTML behavior. - [preactjs/preact](https://github.com/preactjs/preact) - Fast 3kB React alternative. - [lit/lit](https://github.com/lit/lit) - Simple library for building web components. - [angular/angular](https://github.com/angular/angular) - Platform for building mobile and desktop web apps. - [react/react](https://github.com/react/react) - The library for web and native user interfaces. **Backend frameworks** - [fastapi/fastapi](https://github.com/fastapi/fastapi) - The backend most Python agents are served from. - [django/django](https://github.com/django/django) - Batteries-included Python web framework. - [pallets/flask](https://github.com/pallets/flask) - Lightweight Python WSGI web framework. - [sparckles/Robyn](https://github.com/sparckles/Robyn) - Fast Python web framework with a Rust runtime. - [vitalik/django-ninja](https://github.com/vitalik/django-ninja) - Django REST APIs with type hints and OpenAPI. - [litestar-org/litestar](https://github.com/litestar-org/litestar) - Performant Python ASGI framework. - [strawberry-graphql/strawberry](https://github.com/strawberry-graphql/strawberry) - Code-first GraphQL schemas in Python. **Component libraries & styling** - [xyflow/xyflow](https://github.com/xyflow/xyflow) - Node-based canvas library powering agent workflow builders like Langflow. - [bradtraversy/design-resources-for-developers](https://github.com/bradtraversy/design-resources-for-developers) - Design and UI resources for developers. - [ant-design/ant-design](https://github.com/ant-design/ant-design) - Enterprise-grade React UI component library. - [tailwindlabs/tailwindcss](https://github.com/tailwindlabs/tailwindcss) - Utility-first CSS framework. - [mui/material-ui](https://github.com/mui/material-ui) - React components implementing Material Design. - [saadeghi/daisyui](https://github.com/saadeghi/daisyui) - Tailwind CSS component classes for faster UI. - [chakra-ui/chakra-ui](https://github.com/chakra-ui/chakra-ui) - Simple, modular React component library. - [mantinedev/mantine](https://github.com/mantinedev/mantine) - React components and hooks library. **Low-code & CMS** - [Budibase/budibase](https://github.com/Budibase/budibase) - Low-code platform for business apps. - [appsmithorg/appsmith](https://github.com/appsmithorg/appsmith) - Open-source Retool alternative for internal tools. - [ToolJet/ToolJet](https://github.com/ToolJet/ToolJet) - Low-code framework for internal applications. - [refinedev/refine](https://github.com/refinedev/refine) - React framework for data-driven admin panels. - [directus/directus](https://github.com/directus/directus) - Open data platform wrapping any SQL database. - [strapi/strapi](https://github.com/strapi/strapi) - Open-source headless CMS with REST and GraphQL. - [wagtail/wagtail](https://github.com/wagtail/wagtail) - Django-based CMS for content-heavy sites. - [TryGhost/Ghost](https://github.com/TryGhost/Ghost) - Publishing platform for blogs and newsletters. - [payloadcms/payload](https://github.com/payloadcms/payload) - TypeScript headless CMS and app framework. ## Learning Path *Ordered roughly from beginner to advanced.* **Foundations** - [microsoft/AI-For-Beginners](https://github.com/microsoft/AI-For-Beginners) - 12-week AI curriculum. - [microsoft/generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) - 21 lessons on building with generative AI. - [mlabonne/llm-course](https://github.com/mlabonne/llm-course) - LLM roadmap with Colab notebooks. - [markredito/selfstudy-roadmap-ml-ai](https://github.com/markredito/selfstudy-roadmap-ml-ai) - Self-study ML/AI roadmap. - [aadi1011/AI-ML-Roadmap-from-scratch](https://github.com/aadi1011/AI-ML-Roadmap-from-scratch) - 0-to-100 AI/ML roadmap. - [Developer-Y/cs-video-courses](https://github.com/Developer-Y/cs-video-courses) - CS courses with video lectures. - [GokuMohandas/Made-With-ML](https://github.com/GokuMohandas/Made-With-ML) - Learn how to develop, deploy and iterate on production-grade ML applications. - [microsoft/ML-For-Beginners](https://github.com/microsoft/ML-For-Beginners) - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all. - [ageron/handson-ml3](https://github.com/ageron/handson-ml3) - Code companion for Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. - [mrdbourke/learn-huggingface](https://github.com/mrdbourke/learn-huggingface) - Learn the Hugging Face ecosystem: transformers, datasets, accelerate. - [gonzachiar/deep-learning-course-notebooks](https://github.com/gonzachiar/deep-learning-course-notebooks) - Deep learning course notebooks following Geron's ML book. - [ksopyla/pytorch-course](https://github.com/ksopyla/pytorch-course) - Hands-on PyTorch course covering tensors, autograd, and networks. - [balloontip/deep-learning](https://github.com/balloontip/deep-learning) - Code and notebooks for Deep Learning: From Curiosity to Mastery. - [nageshnnazare/pytorch-know-hows](https://github.com/nageshnnazare/pytorch-know-hows) - Practical PyTorch tips and know-hows. - [louisfb01/start-machine-learning](https://github.com/louisfb01/start-machine-learning) - Complete guide to starting and improving in ML and AI. - [christophM/interpretable-ml-book](https://github.com/christophM/interpretable-ml-book) - Free online book on interpretable machine learning. - [chiphuyen/dmls-book](https://github.com/chiphuyen/dmls-book) - Summaries and resources for Designing Machine Learning Systems. - [fastai/fastbook](https://github.com/fastai/fastbook) - The fast.ai deep learning book as Jupyter notebooks. - [mrdbourke/pytorch-deep-learning](https://github.com/mrdbourke/pytorch-deep-learning) - Zero-to-mastery PyTorch course notebooks. - [huggingface/diffusion-models-class](https://github.com/huggingface/diffusion-models-class) - Hugging Face course on diffusion models. - [trekhleb/homemade-machine-learning](https://github.com/trekhleb/homemade-machine-learning) - ML algorithms implemented from scratch in Python. - [pytorch/tutorials](https://github.com/pytorch/tutorials) - Official PyTorch tutorials and recipes. - [donnemartin/system-design-primer](https://github.com/donnemartin/system-design-primer) - Learn large-scale system design with examples. - [nilbuild/developer-roadmap](https://github.com/nilbuild/developer-roadmap) - Roadmaps for developers learning any stack. - [keras-team/keras-io](https://github.com/keras-team/keras-io) - Keras examples, guides and tutorials. - [pytorch/examples](https://github.com/pytorch/examples) - Official PyTorch example projects. - [freeCodeCamp/freeCodeCamp](https://github.com/freeCodeCamp/freeCodeCamp) - Full free coding curriculum from HTML to ML. - [ossu/computer-science](https://github.com/ossu/computer-science) - Complete CS degree path using free online courses. - [trekhleb/javascript-algorithms](https://github.com/trekhleb/javascript-algorithms) - Algorithms and data structures in JavaScript. - [DataTalksClub/mlops-zoomcamp](https://github.com/DataTalksClub/mlops-zoomcamp) - Free MLOps course from DataTalks.Club. Register here to get notified about the next cohort. - [TheOdinProject/curriculum](https://github.com/TheOdinProject/curriculum) - Free full-stack web development curriculum. - [udlbook/udlbook](https://github.com/udlbook/udlbook) - Understanding Deep Learning, the book by Simon Prince, with notebooks. - [yandexdataschool/nlp_course](https://github.com/yandexdataschool/nlp_course) - Yandex Data School's natural language processing course. - [DataTalksClub/machine-learning-zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp) - Free four-month course in machine learning engineering. - [rasbt/machine-learning-book](https://github.com/rasbt/machine-learning-book) - Code for Machine Learning with PyTorch and Scikit-Learn. - [ageron/handson-mlp](https://github.com/ageron/handson-mlp) - Notebooks on machine learning and deep learning fundamentals. - [microsoft/Data-Science-For-Beginners](https://github.com/microsoft/Data-Science-For-Beginners) - Microsoft's 10-week data science curriculum. - [greyhatguy007/Machine-Learning-Specialization-Coursera](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera) - Notes and solutions for Andrew Ng's Machine Learning Specialization. **Agents & AI engineering** - [microsoft/ai-agents-for-beginners](https://github.com/microsoft/ai-agents-for-beginners) - 18 lessons on building agents. - [rohitg00/ai-engineering-from-scratch](https://github.com/rohitg00/ai-engineering-from-scratch) - Learn it, build it, ship it. - [patchy631/ai-engineering-hub](https://github.com/patchy631/ai-engineering-hub) - In-depth tutorials on LLMs, RAG and agents. - [chiphuyen/aie-book](https://github.com/chiphuyen/aie-book) - Resources for Chip Huyen's *AI Engineering*. - [HandsOnLLM/Hands-On-Large-Language-Models](https://github.com/HandsOnLLM/Hands-On-Large-Language-Models) - Code for the O'Reilly book. - [ProjectProRepo/Agentic-AI](https://github.com/ProjectProRepo/Agentic-AI) - Agentic AI learning resources. - [mdhabibi/llm-search-handbook](https://github.com/mdhabibi/llm-search-handbook) - Beginner-to-expert open course on LLMs and semantic search. - [Rishurajgautam24/prompt-engineering-course](https://github.com/Rishurajgautam24/prompt-engineering-course) - Hands-on prompt engineering course in Jupyter notebooks. - [rajurh/foundrytoolkit-ai-agents](https://github.com/rajurh/foundrytoolkit-ai-agents) - Foundry Toolkit with VS Code and AI agents demo. - [ellacharmed/5dgai-okf-tutor](https://github.com/ellacharmed/5dgai-okf-tutor) - AI tutor built for the 5-day AI agents vibe-coding course. - [brevdev/workshop-build-an-agent](https://github.com/brevdev/workshop-build-an-agent) - Hands-on NVIDIA workshop: create, deploy, and evaluate AI agents. - [AdilShamim8/Agentic-AI-Roadmap-with-Notes-and-Projects](https://github.com/AdilShamim8/Agentic-AI-Roadmap-with-Notes-and-Projects) - Comprehensive roadmap and resources for agentic AI with LangGraph. - [KhaledTurk/agentic-ai-course](https://github.com/KhaledTurk/agentic-ai-course) - Code-first course building agents with the Claude API end to end. - [WenRui-MA7238/llm-finetuning-qwen3](https://github.com/WenRui-MA7238/llm-finetuning-qwen3) - LLM fine-tuning with LoRA, QLoRA, and PEFT for Qwen3. - [gauravz7/learn-mcp](https://github.com/gauravz7/learn-mcp) - Hands-on Model Context Protocol tutorial: servers, agents, skills. - [ShadowQuill/langchain-langgraph-tutorial](https://github.com/ShadowQuill/langchain-langgraph-tutorial) - Structured LangChain and LangGraph tutorial with 26 runnable examples. - [psssnikhil/ai-engineering-hub](https://github.com/psssnikhil/ai-engineering-hub) - Open-source AI engineering handbook with lessons and exercises. - [Turi-Labs/AI-Agent-Learn](https://github.com/Turi-Labs/AI-Agent-Learn) - Resources, cookbooks, and knowledge on AI agents. - [huggingface/agents-course](https://github.com/huggingface/agents-course) - The official Hugging Face agents course. - [Rubonal4649/ai-engineering-from-scratch](https://github.com/Rubonal4649/ai-engineering-from-scratch) - 260+ lessons across 20 phases covering AI engineering from scratch. - [PacktPublishing/LLM-Engineers-Handbook](https://github.com/PacktPublishing/LLM-Engineers-Handbook) - Practical LLM engineer guide: fine-tuning, RAG, deployment, LLMOps. - [DataTalksClub/llm-zoomcamp](https://github.com/DataTalksClub/llm-zoomcamp) - Free LLM engineering course with hands-on projects. - [langchain-ai/langchain-academy](https://github.com/langchain-ai/langchain-academy) - Official LangChain and agent engineering lessons. - [DataTalksClub/data-engineering-zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp) - Free data engineering course with projects. - [youngyangyang04/llm-master](https://github.com/youngyangyang04/llm-master) - Chinese full-stack LLM learning path covering prompting, RAG, agents, MCP and fine-tuning. - [datawhalechina/all-in-rag](https://github.com/datawhalechina/all-in-rag) - Hands-on tutorial covering the full RAG technology stack for LLM applications. - [bojieli/ai-agent-book](https://github.com/bojieli/ai-agent-book) - Open-source book on AI agent design principles with chapter code. - [Anil-matcha/ai-creator-academy](https://github.com/Anil-matcha/ai-creator-academy) - Free open curriculum for building with generative image, video and audio models. - [FareedKhan-dev/langgraph-101](https://github.com/FareedKhan-dev/langgraph-101) - LangGraph fundamentals in notebooks. - [walkinglabs/learn-harness-engineering](https://github.com/walkinglabs/learn-harness-engineering) - Beginner tutorial on agent harness engineering, from zero to one. - [ed-donner/llm_engineering](https://github.com/ed-donner/llm_engineering) - Code for the Mastering LLM Engineering course. - [datawhalechina/deepagents-in-action](https://github.com/datawhalechina/deepagents-in-action) - Guide to building production agents with LangChain Deep Agents (Chinese). **Cookbooks** - [openai/openai-cua-sample-app](https://github.com/openai/openai-cua-sample-app) - Learn how to use CUA (our Computer Using Agent) via the API on multiple computer environments. - [openai/openai-cookbook](https://github.com/openai/openai-cookbook) - Examples and guides for using the OpenAI API. - [anthropics/claude-cookbooks](https://github.com/anthropics/claude-cookbooks) - A collection of notebooks/recipes showcasing some fun and effective ways of using Claude. - [steel-dev/steel-cookbook](https://github.com/steel-dev/steel-cookbook) - Examples and guides for using the Steel API. - [nebius/token-factory-cookbook](https://github.com/nebius/token-factory-cookbook) - Guides and examples for building apps with open models. - [ferro-labs/ai-gateway-cookbook](https://github.com/ferro-labs/ai-gateway-cookbook) - Runnable recipes for LangChain and LangGraph agents via AI gateway. - [google-gemini/cookbook](https://github.com/google-gemini/cookbook) - Google Gemini API examples and guides. - [GoogleCloudPlatform/generative-ai](https://github.com/GoogleCloudPlatform/generative-ai) - Google Cloud generative AI samples and notebooks. - [meta-llama/llama-cookbook](https://github.com/meta-llama/llama-cookbook) - Meta's recipes for inference, fine-tuning and RAG with Llama. **Build it from scratch** - [analyticalrohit/llms-from-scratch](https://github.com/analyticalrohit/llms-from-scratch) - Build a GPT-style LLM from scratch in PyTorch. - [GeeeekExplorer/nano-vllm](https://github.com/GeeeekExplorer/nano-vllm) - Minimal from-scratch reimplementation of vLLM for learning how it works. - [sgl-project/mini-sglang](https://github.com/sgl-project/mini-sglang) - Compact reimplementation of SGLang that demystifies modern LLM serving. - [skyzh/tiny-llm](https://github.com/skyzh/tiny-llm) - Build a tiny vLLM from scratch to learn LLM inference systems on Apple Silicon. - [rasbt/LLMs-from-scratch](https://github.com/rasbt/LLMs-from-scratch) - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step. - [jingyaogong/minimind](https://github.com/jingyaogong/minimind) - Train a 64M-parameter LLM from scratch in just 2h!. - [karpathy/nanochat](https://github.com/karpathy/nanochat) - The best ChatGPT that $100 can buy. - [karpathy/micrograd](https://github.com/karpathy/micrograd) - Tiny autograd engine; build backpropagation from scratch. - [MAlshurbaji/LLM-Playground-From-Scratch](https://github.com/MAlshurbaji/LLM-Playground-From-Scratch) - Build a miniature LLM from scratch with real-world techniques. - [kunjcr2/llms-from-scratch](https://github.com/kunjcr2/llms-from-scratch) - Explanations and code for everything LLM and machine learning. - [anchitgupt/learn_llm_code](https://github.com/anchitgupt/learn_llm_code) - Build an LLM from scratch in 15 runnable Python scripts. - [somilsin/Transformers_Large-Language-Models](https://github.com/somilsin/Transformers_Large-Language-Models) - Documented from-scratch implementations of transformers and LLMs. - [labmlai/annotated_deep_learning_paper_implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations) - Paper implementations with line-by-line notes. - [lucidrains/vit-pytorch](https://github.com/lucidrains/vit-pytorch) - Vision Transformer implementations for study. **Reinforcement learning** - [huggingface/deep-rl-class](https://github.com/huggingface/deep-rl-class) - Official Hugging Face deep reinforcement learning course. - [mhahsler/Introduction_to_Reinforcement_Learning](https://github.com/mhahsler/Introduction_to_Reinforcement_Learning) - University RL course with Python examples and assignments. - [denis-samatov/reinforcement-learning-course](https://github.com/denis-samatov/reinforcement-learning-course) - Practical RL course from MDPs through RLHF with PyTorch. - [vwxyzjn/cleanrl](https://github.com/vwxyzjn/cleanrl) - Clean single-file implementations of RL algorithms. - [DLR-RM/stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - Reliable reinforcement learning baselines in PyTorch. **Must-read essays & guides** - [Anthropic — Building effective agents](https://www.anthropic.com/research/building-effective-agents) - Workflows vs agents, and the patterns that actually work. - [Anthropic — Effective context engineering](https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents) - Managing what goes into the context window. - [OpenAI — A practical guide to building agents](https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf) - Orchestration, guardrails and when to use agents. - [Lilian Weng — LLM Powered Autonomous Agents](https://lilianweng.github.io/posts/2023-06-23-agent/) - The canonical survey: planning, memory, tool use. - [humanlayer/12-factor-agents](https://github.com/humanlayer/12-factor-agents) - Principles for reliable LLM applications. - [The Prompt Report](https://arxiv.org/abs/2406.06608) - Systematic survey of prompting techniques. - [Mooler0410/LLMsPracticalGuide](https://github.com/Mooler0410/LLMsPracticalGuide) - A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers). **Research** - [Hannibal046/Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM) - Curated LLM papers and resources. - [masamasa59/ai-agent-papers](https://github.com/masamasa59/ai-agent-papers) - Agent papers, updated biweekly. - [kyegomez/awesome-multi-agent-papers](https://github.com/kyegomez/awesome-multi-agent-papers) - Best multi-agent papers. - [aishwaryanr/awesome-generative-ai-guide](https://github.com/aishwaryanr/awesome-generative-ai-guide) - GenAI research updates and interview prep. - [papers-we-love/papers-we-love](https://github.com/papers-we-love/papers-we-love) - Reading group for classic CS papers. - [LAMDA-NeSy/Research-Starter-Kit](https://github.com/LAMDA-NeSy/Research-Starter-Kit) - Starter guide to doing AI research and writing papers (Chinese). **Interview prep** - [ffaisal93/ml_and_llm_learning](https://github.com/ffaisal93/ml_and_llm_learning) - ML and LLM coding interview prep with implementations and Q&A. - [jwasham/coding-interview-university](https://github.com/jwasham/coding-interview-university) - Self-study plan for coding interviews. - [rust-lang/rustlings](https://github.com/rust-lang/rustlings) - Learn Rust through small interactive exercises. - [yangshun/tech-interview-handbook](https://github.com/yangshun/tech-interview-handbook) - Interview prep handbook for software engineers. - [kdn251/interviews](https://github.com/kdn251/interviews) - Curated interview questions and study material. ## Voice, Speech & Audio *Speech-to-text, text-to-speech and voice agents.* **Speech-to-text** - [openai/whisper](https://github.com/openai/whisper) - Robust Speech Recognition via Large-Scale Weak Supervision. - [ggml-org/whisper.cpp](https://github.com/ggml-org/whisper.cpp) - Port of OpenAI's Whisper model in C/C++. - [SYSTRAN/faster-whisper](https://github.com/SYSTRAN/faster-whisper) - Faster Whisper transcription with CTranslate2. - [m-bain/whisperX](https://github.com/m-bain/whisperX) - WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization). - [NVIDIA-NeMo/Speech](https://github.com/NVIDIA-NeMo/Speech) - NVIDIA's toolkit for building production ASR, TTS, and conversational AI. - [modelscope/FunASR](https://github.com/modelscope/FunASR) - Alibaba's industrial-grade speech recognition toolkit for production ASR. - [facebookresearch/seamless_communication](https://github.com/facebookresearch/seamless_communication) - Foundational models for state-of-the-art speech and text translation. - [QwenAudio/SenseVoice](https://github.com/QwenAudio/SenseVoice) - Multilingual ASR with language ID, emotion and audio-event detection. - [k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) - Offline ASR, TTS, diarization, VAD and enhancement via ONNX Runtime. - [k2-fsa/sherpa](https://github.com/k2-fsa/sherpa) - Speech-to-text server framework built on next-gen Kaldi. - [speechbrain/speechbrain](https://github.com/speechbrain/speechbrain) - PyTorch toolkit for ASR, diarization and speech processing. - [alphacep/vosk-api](https://github.com/alphacep/vosk-api) - Offline speech recognition for mobile, Raspberry Pi and servers. - [espnet/espnet](https://github.com/espnet/espnet) - End-to-end speech processing toolkit for ASR, TTS and translation. - [PaddlePaddle/PaddleSpeech](https://github.com/PaddlePaddle/PaddleSpeech) - Speech toolkit: streaming ASR/TTS, punctuation, speaker verification. - [argmaxinc/argmax-oss-swift](https://github.com/argmaxinc/argmax-oss-swift) - On-device speech AI for Apple Silicon (WhisperKit). - [ufal/whisper_streaming](https://github.com/ufal/whisper_streaming) - Real-time streaming Whisper transcription and translation. - [collabora/WhisperLive](https://github.com/collabora/WhisperLive) - A nearly-live implementation of OpenAI Whisper. - [speaches-ai/speaches](https://github.com/speaches-ai/speaches) - OpenAI-compatible speech-to-text and text-to-speech inference server. - [ahmetoner/whisper-asr-webservice](https://github.com/ahmetoner/whisper-asr-webservice) - Whisper ASR exposed as a webservice API. - [KoljaB/RealtimeSTT](https://github.com/KoljaB/RealtimeSTT) - Low-latency speech-to-text with VAD and wake-word activation. - [Vaibhavs10/insanely-fast-whisper](https://github.com/Vaibhavs10/insanely-fast-whisper) - Whisper transcription accelerated with transformers and optimum. - [linto-ai/whisper-timestamped](https://github.com/linto-ai/whisper-timestamped) - Multilingual ASR with word-level timestamps and confidence scores. - [HaujetZhao/CapsWriter-Offline](https://github.com/HaujetZhao/CapsWriter-Offline) - Offline hotkey-driven dictation app with high accuracy and low latency. - [moonshine-ai/moonshine](https://github.com/moonshine-ai/moonshine) - Very low-latency speech-to-text for voice agents and interfaces. - [Picovoice/cheetah](https://github.com/Picovoice/cheetah) - On-device streaming speech-to-text engine. - [Picovoice/leopard](https://github.com/Picovoice/leopard) - On-device speech-to-text engine for private local transcription. - [kyutai-labs/hibiki](https://github.com/kyutai-labs/hibiki) - Simultaneous speech translation that adapts its flow as you speak. - [wenet-e2e/wenet](https://github.com/wenet-e2e/wenet) - Production-first, production-ready end-to-end speech recognition toolkit. - [k2-fsa/icefall](https://github.com/k2-fsa/icefall) - Recipes and training pipelines for next-gen Kaldi speech models. - [QuentinFuxa/WhisperLiveKit](https://github.com/QuentinFuxa/WhisperLiveKit) - Real-time local speech-to-text with streaming ASR and speaker diarization. - [Blaizzy/mlx-audio](https://github.com/Blaizzy/mlx-audio) - Text-to-speech, speech-to-text and speech-to-speech library built on Apple MLX. - [thewh1teagle/vibe](https://github.com/thewh1teagle/vibe) - Offline desktop app for transcribing audio and video with Whisper. - [MahmoudAshraf97/whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) - Whisper-based speech recognition with speaker diarization. - [FluidInference/FluidAudio](https://github.com/FluidInference/FluidAudio) - CoreML speech-to-text, text-to-speech and diarization models for Apple apps. - [jhj0517/Whisper-WebUI](https://github.com/jhj0517/Whisper-WebUI) - Web UI for generating and translating subtitles with Whisper models. - [cjpais/Handy](https://github.com/cjpais/Handy) - Offline, extensible speech-to-text desktop app. - [zachlatta/freeflow](https://github.com/zachlatta/freeflow) - Free, fast dictation app; an open alternative to Wispr Flow. **Text-to-speech & voice cloning** - [RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) - 1 min voice data can also be used to train a good TTS model! (few shot voice cloning). - [jamiepine/voicebox](https://github.com/jamiepine/voicebox) - The open-source AI voice studio. Clone, dictate, create. - [microsoft/VibeVoice](https://github.com/microsoft/VibeVoice) - Open-Source Frontier Voice AI. - [2noise/ChatTTS](https://github.com/2noise/ChatTTS) - A generative speech model for daily dialogue. - [index-tts/index-tts](https://github.com/index-tts/index-tts) - An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System. - [fishaudio/fish-speech](https://github.com/fishaudio/fish-speech) - State-of-the-art open-source text-to-speech with rapid voice cloning. - [myshell-ai/OpenVoice](https://github.com/myshell-ai/OpenVoice) - Instant multilingual voice cloning from a short reference clip. - [espeak-ng/espeak-ng](https://github.com/espeak-ng/espeak-ng) - Compact open-source speech synthesizer for 100+ languages and accents. - [nari-labs/dia](https://github.com/nari-labs/dia) - 1.6B TTS model generating ultra-realistic multi-speaker dialogue in one pass. - [SparkAudio/Spark-TTS](https://github.com/SparkAudio/Spark-TTS) - LLM-based bilingual TTS with fine-grained voice control and cloning. - [SWivid/F5-TTS](https://github.com/SWivid/F5-TTS) - Flow-matching TTS with faithful zero-shot voice cloning from short samples. - [KittenML/KittenTTS](https://github.com/KittenML/KittenTTS) - State-of-the-art TTS under 25MB for CPU and edge devices. - [rany2/edge-tts](https://github.com/rany2/edge-tts) - Use Microsoft Edge neural TTS voices from Python with no API key. - [yxlllc/DDSP-SVC](https://github.com/yxlllc/DDSP-SVC) - Real-time end-to-end singing voice conversion based on DDSP. - [RVC-Project/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) - Train a voice conversion model on 10 minutes of audio via web UI. - [edwko/OuteTTS](https://github.com/edwko/OuteTTS) - Lightweight interface for the OuteTTS 0.5B/1B voice-cloning models. - [bshall/knn-vc](https://github.com/bshall/knn-vc) - Any-to-any voice conversion with just nearest neighbors. - [SesameAILabs/csm](https://github.com/SesameAILabs/csm) - Conversational speech generation model for natural dialogue voices. - [QwenLM/Qwen3-TTS](https://github.com/QwenLM/Qwen3-TTS) - Streaming TTS with voice cloning and natural-language voice design. - [KoljaB/RealtimeTTS](https://github.com/KoljaB/RealtimeTTS) - Convert text to speech in realtime with low latency. - [snakers4/silero-models](https://github.com/snakers4/silero-models) - Pre-trained TTS models with a simple one-line inference API. - [canopyai/Orpheus-TTS](https://github.com/canopyai/Orpheus-TTS) - Llama-based TTS with emotion tags and ~200ms streaming latency. - [resemble-ai/chatterbox](https://github.com/resemble-ai/chatterbox) - SOTA open-source TTS with zero-shot voice cloning and emotion control. - [QwenAudio/CosyVoice](https://github.com/QwenAudio/CosyVoice) - Multilingual voice generation with full inference, training and deployment stack. - [k2-fsa/OmniVoice](https://github.com/k2-fsa/OmniVoice) - High-quality voice-cloning TTS supporting 600+ languages. - [debpalash/VoiceStudio](https://github.com/debpalash/VoiceStudio) - Fully-local ElevenLabs alternative: cloning, dubbing, dictation, audiobooks. - [DrewThomasson/ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook) - Convert ebooks to audiobooks with TTS and voice cloning. - [kadirnar/voicehub](https://github.com/kadirnar/voicehub) - Unified inference interface across many open TTS models. - [OpenBMB/VoxCPM](https://github.com/OpenBMB/VoxCPM) - Tokenizer-free multilingual text-to-speech model with voice design and cloning. - [OpenMOSS/MOSS-TTS](https://github.com/OpenMOSS/MOSS-TTS) - Open-source model family for long-form speech and dialogue synthesis. - [OpenMOSS/MOSS-TTS-Nano](https://github.com/OpenMOSS/MOSS-TTS-Nano) - 100M-parameter multilingual TTS model for real-time CPU inference. - [WhisperSpeech/WhisperSpeech](https://github.com/WhisperSpeech/WhisperSpeech) - Open-source text-to-speech system built by inverting Whisper. - [devnen/Chatterbox-TTS-Server](https://github.com/devnen/Chatterbox-TTS-Server) - Self-hosted server and web UI for the Chatterbox TTS model. - [RVC-Project/Retrieval-based-Voice-Conversion](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion) - Real-time voice conversion with retrieval-based models. - [shirohata/vc-rs](https://github.com/shirohata/vc-rs) - Real-time RVC voice changer in Rust with GUI and VST3 plugin. - [Turing-Mirror/RVC-Fabric](https://github.com/Turing-Mirror/RVC-Fabric) - RVC voice changer studio with a modern GUI. **Voice agents** - [gradio-app/fastrtc](https://github.com/gradio-app/fastrtc) - Turn Python functions into realtime WebRTC audio/video streams. - [livekit-examples/agent-starter-react](https://github.com/livekit-examples/agent-starter-react) - Complete voice AI frontend for LiveKit Agents. - [kyutai-labs/unmute](https://github.com/kyutai-labs/unmute) - Make any text LLM listen and speak with low latency. - [microsoft/call-center-ai](https://github.com/microsoft/call-center-ai) - AI-driven call center on Azure and OpenAI GPT. - [llmrtc/llmrtc](https://github.com/llmrtc/llmrtc) - TypeScript SDK for realtime multimodal voice and vision agents. - [fixie-ai/ultravox](https://github.com/fixie-ai/ultravox) - Fast multimodal LLM for real-time voice agents. - [livekit/agents](https://github.com/livekit/agents) - Realtime multimodal voice-agent framework on LiveKit's WebRTC infrastructure. - [pipecat-ai/pipecat](https://github.com/pipecat-ai/pipecat) - Pipeline framework for voice and multimodal conversational AI agents. - [kyutai-labs/moshi](https://github.com/kyutai-labs/moshi) - Real-time full-duplex speech-text model for conversational voice agents. - [livekit/livekit](https://github.com/livekit/livekit) - End-to-end realtime WebRTC stack connecting humans and AI agents. - [TEN-framework/ten-framework](https://github.com/TEN-framework/ten-framework) - Open-source framework for building conversational voice AI agents. - [bolna-ai/bolna](https://github.com/bolna-ai/bolna) - Build production conversational voice AI agents quickly. - [roomkit-live/roomkit](https://github.com/roomkit-live/roomkit) - Async Python framework for multi-channel conversation agents. - [kyutai-labs/delayed-streams-modeling](https://github.com/kyutai-labs/delayed-streams-modeling) - Kyutai's streaming speech-to-text and text-to-speech models. - [kyutai-labs/moshi-finetune](https://github.com/kyutai-labs/moshi-finetune) - Fine-tuning toolkit for the Moshi full-duplex spoken dialogue model. - [agent-next/call-use](https://github.com/agent-next/call-use) - Open-source runtime giving AI agents outbound phone-call ability. - [huggingface/speech-to-speech](https://github.com/huggingface/speech-to-speech) - Pipeline for building voice agents from open-source models. - [GetStream/Vision-Agents](https://github.com/GetStream/Vision-Agents) - Framework for building real-time voice and vision agents with any model. - [dograh-hq/dograh](https://github.com/dograh-hq/dograh) - Open-source self-hosted voice AI platform, alternative to Vapi and Retell. **Audio processing & analysis** - [facebookresearch/audiocraft](https://github.com/facebookresearch/audiocraft) - Audiocraft is a library for audio processing and generation with deep learning. It features the. - [Picovoice/porcupine](https://github.com/Picovoice/porcupine) - On-device wake word detection engine. - [Picovoice/cobra](https://github.com/Picovoice/cobra) - On-device voice activity detection engine. - [Picovoice/falcon](https://github.com/Picovoice/falcon) - On-device speaker diarization engine. - [snakers4/silero-vad](https://github.com/snakers4/silero-vad) - Enterprise-grade pre-trained voice activity detector. - [juanmc2005/diart](https://github.com/juanmc2005/diart) - Real-time speaker diarization and audio streaming toolkit. - [pyannote/pyannote-audio](https://github.com/pyannote/pyannote-audio) - Neural building blocks for speaker diarization pipelines. - [deezer/spleeter](https://github.com/deezer/spleeter) - Source separation library with pretrained models. - [asteroid-team/asteroid](https://github.com/asteroid-team/asteroid) - PyTorch audio source separation toolkit for researchers. - [facebookresearch/audioseal](https://github.com/facebookresearch/audioseal) - Localized watermarking for AI-generated speech audio. - [iver56/audiomentations](https://github.com/iver56/audiomentations) - Audio data augmentation library for robust real-world ML models. - [descriptinc/descript-audio-codec](https://github.com/descriptinc/descript-audio-codec) - State-of-the-art neural audio codec with 90x compression. - [lhotse-speech/lhotse](https://github.com/lhotse-speech/lhotse) - Tools for handling speech data in machine learning projects. - [librosa/librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis. - [MTG/essentia](https://github.com/MTG/essentia) - C++ library for audio analysis, description and synthesis. - [pytorch/audio](https://github.com/pytorch/audio) - Audio signal processing and transforms for PyTorch. - [aubio/aubio](https://github.com/aubio/aubio) - Library for audio and music analysis and onset detection. - [spotify/pedalboard](https://github.com/spotify/pedalboard) - Python library for audio effects and plugin processing. - [gemelo-ai/vocos](https://github.com/gemelo-ai/vocos) - Fast high-quality neural vocoder bridging time and Fourier domains. **Telephony & SIP** - [signalwire/freeswitch](https://github.com/signalwire/freeswitch) - Software-defined telecom stack for voice and video. - [asterisk/asterisk](https://github.com/asterisk/asterisk) - The official Asterisk open-source PBX repository. - [OpenSIPS/opensips](https://github.com/OpenSIPS/opensips) - High-performance SIP server for VoIP platforms. - [drachtio/drachtio-server](https://github.com/drachtio/drachtio-server) - SIP call processing server controlled via Node.js applications. - [kamailio/kamailio](https://github.com/kamailio/kamailio) - Open-source SIP server for large real-time communication platforms. - [sipwise/rtpengine](https://github.com/sipwise/rtpengine) - Media proxy for Kamailio SIP deployments. - [baresip/baresip](https://github.com/baresip/baresip) - Modular SIP user agent with audio and video support. - [pjsip/pjproject](https://github.com/pjsip/pjproject) - Multimedia communication library with a SIP stack. - [jambonz/jambonz-feature-server](https://github.com/jambonz/jambonz-feature-server) - Telephony feature server for the Jambonz CPaaS platform. - [OpenVoiceOS/ovos-audio](https://github.com/OpenVoiceOS/ovos-audio) - Audio output daemon for the OpenVoiceOS voice assistant. - [OHF-Voice/wyoming](https://github.com/OHF-Voice/wyoming) - Peer-to-peer protocol for Home Assistant voice assistants. ## Vision & Multimodal *Image/video understanding and vision-language models.* **Vision-language models** - [QwenLM/Qwen3-VL](https://github.com/QwenLM/Qwen3-VL) - Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud. - [haotian-liu/LLaVA](https://github.com/haotian-liu/LLaVA) - Large Language-and-Vision Assistant; open GPT-4V-style model. - [OpenGVLab/InternVL](https://github.com/OpenGVLab/InternVL) - Open-source multimodal model family rivaling proprietary vision-language models. - [LLaVA-VL/LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT) - Open-source large multimodal models for image and video understanding. - [OpenBMB/MiniCPM-V](https://github.com/OpenBMB/MiniCPM-V) - Pocket-sized multimodal LLM for efficient image and video understanding on phones. - [NVlabs/Eagle](https://github.com/NVlabs/Eagle) - Frontier vision-language models trained with data-centric strategies. - [NVlabs/VILA](https://github.com/NVlabs/VILA) - Vision-language models for multimodal AI across edge, data center, and cloud. - [OpenSenseNova/SenseNova-U1](https://github.com/OpenSenseNova/SenseNova-U1) - Native unified multimodal model for understanding, reasoning, and generation. - [m87-labs/moondream](https://github.com/m87-labs/moondream) - Tiny vision-language model for fast image understanding on any device. - [ATH-MaaS/Ovis](https://github.com/ATH-MaaS/Ovis) - Multimodal LLM architecture structurally aligning visual and textual embeddings. - [om-ai-lab/VLM-R1](https://github.com/om-ai-lab/VLM-R1) - Reinforcement learning framework for visual understanding with VLMs. - [eulogik/TinyDoc-VLM](https://github.com/eulogik/TinyDoc-VLM) - 256M-parameter document VLM that runs on CPU with ONNX export. - [andreagemelli/baguettotron-vlm](https://github.com/andreagemelli/baguettotron-vlm) - Fully reproducible sub-1B vision-language model with open training. - [microsoft/Magma](https://github.com/microsoft/Magma) - Foundation model for multimodal AI agents acting in digital worlds. - [apple-aiml-research/ml-ferret](https://github.com/apple-aiml-research/ml-ferret) - Apple's region-aware VLM for referring expression grounding. - [jingyaogong/minimind-v](https://github.com/jingyaogong/minimind-v) - Train a small vision-language model from scratch in a couple of hours. **Detection, segmentation & tracking** - [roboflow/supervision](https://github.com/roboflow/supervision) - We write your reusable computer vision tools. - [facebookresearch/segment-anything](https://github.com/facebookresearch/segment-anything) - Promptable image segmentation from Meta. - [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) - YOLO models for detection, segmentation and tracking. - [open-mmlab/mmdetection](https://github.com/open-mmlab/mmdetection) - OpenMMLab detection toolbox. - [facebookresearch/sam2](https://github.com/facebookresearch/sam2) - Meta's promptable segmentation for images and video; a vision pipeline staple. - [facebookresearch/detectron2](https://github.com/facebookresearch/detectron2) - Platform for object detection, segmentation, and visual recognition tasks. - [ChaoningZhang/MobileSAM](https://github.com/ChaoningZhang/MobileSAM) - Lightweight Segment Anything variant for mobile and real-time use. - [facebookresearch/sam3](https://github.com/facebookresearch/sam3) - Segment Anything Model 3: promptable segmentation for images and video. - [yujunwei04/UnSAMv2](https://github.com/yujunwei04/UnSAMv2) - Self-supervised segmentation at any granularity without manual labels. - [IDEA-Research/Grounded-SAM-2](https://github.com/IDEA-Research/Grounded-SAM-2) - Ground and track anything in videos using text prompts. - [roboflow/rf-detr](https://github.com/roboflow/rf-detr) - Real-time detection transformer, SOTA on COCO and built for fine-tuning. - [lyuwenyu/RT-DETR](https://github.com/lyuwenyu/RT-DETR) - Real-time detection transformer beating YOLOs on the speed-accuracy curve. - [Peterande/D-FINE](https://github.com/Peterande/D-FINE) - Fine-grained distribution refinement for DETR-style object detectors. - [obss/sahi](https://github.com/obss/sahi) - Sliced inference framework for small-object detection on large images. - [PaddlePaddle/PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection) - PaddlePaddle toolkit for detection, segmentation, and tracking. - [qubvel-org/segmentation_models.pytorch](https://github.com/qubvel-org/segmentation_models.pytorch) - Segmentation models with 500+ pretrained convolutional and transformer backbones. - [mikel-brostrom/boxmot](https://github.com/mikel-brostrom/boxmot) - Pluggable state-of-the-art multi-object tracking modules for any detector. - [blakeblackshear/frigate](https://github.com/blakeblackshear/frigate) - NVR with real-time local object detection for IP cameras. - [roboflow/inference](https://github.com/roboflow/inference) - Deploy computer vision models to any computer or edge device. - [google-deepmind/tapnet](https://github.com/google-deepmind/tapnet) - DeepMind's Tracking Any Point models and benchmark. **Vision libraries & backbones** - [openai/CLIP](https://github.com/openai/CLIP) - Contrastive image-text model; the backbone of most multimodal retrieval. - [facebookresearch/dinov2](https://github.com/facebookresearch/dinov2) - Meta's self-supervised vision foundation model for visual perception backbones. - [mlfoundations/open_clip](https://github.com/mlfoundations/open_clip) - Open-source implementation of CLIP with many pretrained weights. - [facebookresearch/dinov3](https://github.com/facebookresearch/dinov3) - Self-supervised vision transformer for dense visual features. - [rom1504/clip-retrieval](https://github.com/rom1504/clip-retrieval) - Compute CLIP embeddings and build billion-scale image search. - [illuin-tech/colpali](https://github.com/illuin-tech/colpali) - Train and run ColPali/ColQwen visual document retrieval models. - [facebookresearch/ImageBind](https://github.com/facebookresearch/ImageBind) - One embedding space binding images, text, audio, and more. - [pytorch/vision](https://github.com/pytorch/vision) - Datasets, transforms, and models for computer vision. - [huggingface/pytorch-image-models](https://github.com/huggingface/pytorch-image-models) - Largest collection of PyTorch image backbones with pretrained weights. - [open-mmlab/mmcv](https://github.com/open-mmlab/mmcv) - OpenMMLab computer vision foundation library. - [kornia/kornia](https://github.com/kornia/kornia) - Differentiable geometric computer vision library. - [rerun-io/rerun](https://github.com/rerun-io/rerun) - Visualize, query, and stream multimodal robotics and vision data. **Face analysis** - [deepinsight/insightface](https://github.com/deepinsight/insightface) - State-of-the-art 2D and 3D face analysis toolkit. - [serengil/deepface](https://github.com/serengil/deepface) - Lightweight face recognition and facial attribute analysis for Python. - [ageitgey/face_recognition](https://github.com/ageitgey/face_recognition) - The simplest facial recognition API for Python and the command line. **Video understanding & agents** - [OpenGVLab/InternVideo](https://github.com/OpenGVLab/InternVideo) - Video foundation models and data for multimodal understanding. - [mbzuai-oryx/Video-ChatGPT](https://github.com/mbzuai-oryx/Video-ChatGPT) - Video conversation model generating dialogue about video content. - [OpenGVLab/Ask-Anything](https://github.com/OpenGVLab/Ask-Anything) - VideoChat: conversational video understanding with chat models. - [Breakthrough/PySceneDetect](https://github.com/Breakthrough/PySceneDetect) - Scene cut and transition detection for video processing pipelines. - [PyAV-Org/PyAV](https://github.com/PyAV-Org/PyAV) - Pythonic bindings for FFmpeg libraries in video ML pipelines. - [NVIDIA-AI-Blueprints/video-search-and-summarization](https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization) - GPU-accelerated blueprint for video search and summarization agents. - [video-db/Director](https://github.com/video-db/Director) - Framework for building AI video agents and video workflows. - [HKUDS/VideoAgent](https://github.com/HKUDS/VideoAgent) - Agentic framework for video understanding, editing and creation. **Depth & 3D reconstruction** - [DepthAnything/Depth-Anything-V2](https://github.com/DepthAnything/Depth-Anything-V2) - Capable foundation model for monocular depth estimation. - [ByteDance-Seed/Depth-Anything-3](https://github.com/ByteDance-Seed/Depth-Anything-3) - Depth and geometry from any views with a single plain transformer. - [DepthAnything/Video-Depth-Anything](https://github.com/DepthAnything/Video-Depth-Anything) - Consistent depth estimation for super-long videos. - [localai-org/depth-anything.cpp](https://github.com/localai-org/depth-anything.cpp) - From-scratch C++17/ggml port of Depth Anything 2 and 3. - [apple-aiml-research/ml-depth-pro](https://github.com/apple-aiml-research/ml-depth-pro) - Sharp monocular metric depth in under a second. - [prs-eth/Marigold](https://github.com/prs-eth/Marigold) - Diffusion-based monocular depth estimation repurposing image generators. - [microsoft/MoGe](https://github.com/microsoft/MoGe) - Accurate monocular geometry estimation for open-domain images. - [facebookresearch/vggt](https://github.com/facebookresearch/vggt) - Transformer inferring cameras, depth, and 3D tracks from any views. - [HengyiWang/amb3r](https://github.com/HengyiWang/amb3r) - Feed-forward metric-scale 3D reconstruction with backend optimization. - [colmap/colmap](https://github.com/colmap/colmap) - Structure-from-motion and multi-view stereo reconstruction pipeline. - [isl-org/Open3D](https://github.com/isl-org/Open3D) - Modern library for 3D data processing and visualization. - [facebookresearch/pytorch3d](https://github.com/facebookresearch/pytorch3d) - Reusable components for deep learning with 3D data. - [nerfstudio-project/nerfstudio](https://github.com/nerfstudio-project/nerfstudio) - Collaboration-friendly studio for neural radiance fields. - [graphdeco-inria/gaussian-splatting](https://github.com/graphdeco-inria/gaussian-splatting) - Original 3D Gaussian Splatting reference implementation. - [nerfstudio-project/gsplat](https://github.com/nerfstudio-project/gsplat) - CUDA-accelerated Gaussian splatting rasterization library. - [VAST-AI-Research/TripoSR](https://github.com/VAST-AI-Research/TripoSR) - Fast 3D object reconstruction from a single image. - [harry7557558/spirula-studio](https://github.com/harry7557558/spirula-studio) - Cross-vendor 3D Gaussian Splatting trainer from video to mesh. ## Image, Video & Creative Generation *Diffusion, image and video generation tooling.* **Image generation UIs** - [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) - Stable Diffusion web UI. - [Comfy-Org/ComfyUI](https://github.com/Comfy-Org/ComfyUI) - The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. - [lllyasviel/Fooocus](https://github.com/lllyasviel/Fooocus) - Focus on prompting and generating; Midjourney-style UI for SDXL. - [invoke-ai/InvokeAI](https://github.com/invoke-ai/InvokeAI) - Creative engine for Stable Diffusion with a pro UI. - [lllyasviel/stable-diffusion-webui-forge](https://github.com/lllyasviel/stable-diffusion-webui-forge) - Stable Diffusion WebUI fork with faster inference and more features. - [vladmandic/sdnext](https://github.com/vladmandic/sdnext) - All-in-one WebUI for AI image/video creation and processing. - [Mooshieblob1/MooshieUI](https://github.com/Mooshieblob1/MooshieUI) - Beginner-friendly front-end UI for ComfyUI. - [mcmonkeyprojects/SwarmUI](https://github.com/mcmonkeyprojects/SwarmUI) - Modular Stable Diffusion web UI focused on power tools and speed. - [Acly/krita-ai-diffusion](https://github.com/Acly/krita-ai-diffusion) - Krita plugin for AI image generation, inpainting and outpainting. - [LykosAI/StabilityMatrix](https://github.com/LykosAI/StabilityMatrix) - Cross-platform package manager and launcher for Stable Diffusion UIs. - [MochiDiffusion/MochiDiffusion](https://github.com/MochiDiffusion/MochiDiffusion) - Native macOS app for running Stable Diffusion locally. - [carson-katri/dream-textures](https://github.com/carson-katri/dream-textures) - Stable Diffusion image and texture generation inside Blender. **Image models & inference** - [huggingface/diffusers](https://github.com/huggingface/diffusers) - State-of-the-art diffusion models for image, video and audio. - [black-forest-labs/flux](https://github.com/black-forest-labs/flux) - Official inference for FLUX image models. - [Stability-AI/generative-models](https://github.com/Stability-AI/generative-models) - Stability AI generative model releases. - [apple-aiml-research/ml-stable-diffusion](https://github.com/apple-aiml-research/ml-stable-diffusion) - Stable Diffusion with Core ML on Apple Silicon. - [ByteDance-Seed/Bagel](https://github.com/ByteDance-Seed/Bagel) - Open-source unified multimodal model for image generation and editing. - [Tencent-Hunyuan/HunyuanDiT](https://github.com/Tencent-Hunyuan/HunyuanDiT) - Multi-resolution diffusion transformer with fine language understanding. - [NVlabs/Sana](https://github.com/NVlabs/Sana) - Efficient high-resolution text-to-image with linear diffusion transformers. - [QwenLM/Qwen-Image](https://github.com/QwenLM/Qwen-Image) - Image generation foundation model with strong text rendering. - [stepfun-ai/Step1X-Edit](https://github.com/stepfun-ai/Step1X-Edit) - SOTA open-source instruction-based image editing model. - [leejet/stable-diffusion.cpp](https://github.com/leejet/stable-diffusion.cpp) - Pure C/C++ inference for Stable Diffusion, Flux, Wan and other diffusion models. - [mflux-community/mflux](https://github.com/mflux-community/mflux) - Apple MLX implementations of image and video generation models. **ComfyUI extensions** - [Comfy-Org/ComfyUI-Manager](https://github.com/Comfy-Org/ComfyUI-Manager) - Extension manager and workflow hub for ComfyUI. - [ltdrdata/ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack) - Detection, detailer, and upscaling nodes for ComfyUI. - [ltdrdata/ComfyUI-Inspire-Pack](https://github.com/ltdrdata/ComfyUI-Inspire-Pack) - Versatile custom nodes extending ComfyUI workflows. - [Kosinkadink/ComfyUI-VideoHelperSuite](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite) - Video workflow nodes: loading, combining, and exporting. - [Kosinkadink/ComfyUI-AnimateDiff-Evolved](https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved) - AnimateDiff video generation nodes for ComfyUI. - [Fannovel16/comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux) - ControlNet auxiliary preprocessors for ComfyUI. - [Kosinkadink/ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet) - ControlNet scheduling and masking nodes for ComfyUI. - [kijai/ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes) - Handy utility and experimental nodes for ComfyUI. - [kijai/ComfyUI-WanVideoWrapper](https://github.com/kijai/ComfyUI-WanVideoWrapper) - Run WanVideo generation models inside ComfyUI. - [rgthree/rgthree-comfy](https://github.com/rgthree/rgthree-comfy) - ComfyUI usability upgrades and workflow nodes. - [pythongosssss/ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts) - UI enhancements and experiments for ComfyUI. - [yolain/ComfyUI-Easy-Use](https://github.com/yolain/ComfyUI-Easy-Use) - Simplified nodes and presets making ComfyUI easier to use. - [1038lab/ComfyUI-RMBG](https://github.com/1038lab/ComfyUI-RMBG) - ComfyUI nodes for AI background removal and segmentation. - [Gourieff/ComfyUI-ReActor](https://github.com/Gourieff/ComfyUI-ReActor) - Fast face-swap extension node for ComfyUI. - [ssitu/ComfyUI_UltimateSDUpscale](https://github.com/ssitu/ComfyUI_UltimateSDUpscale) - Ultimate SD upscale tiling nodes for ComfyUI. - [MrForExample/ComfyUI-3D-Pack](https://github.com/MrForExample/ComfyUI-3D-Pack) - Process 3D meshes and textures inside ComfyUI. - [city96/ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) - Run quantized GGUF diffusion models natively inside ComfyUI. - [ATH-MaaS/ComfyUI-Copilot](https://github.com/ATH-MaaS/ComfyUI-Copilot) - AI-powered ComfyUI assistant for workflow automation and guidance. - [SaladTechnologies/comfyui-api](https://github.com/SaladTechnologies/comfyui-api) - Horizontally scalable ComfyUI API server with async outputs. - [Lightricks/ComfyUI-LTXVideo](https://github.com/Lightricks/ComfyUI-LTXVideo) - ComfyUI nodes for LTX-Video text and image to video generation. - [nunchux-ai/ComfyUI-nunchaku](https://github.com/nunchux-ai/ComfyUI-nunchaku) - ComfyUI plugin for fast 4-bit quantized diffusion models via Nunchaku. - [numz/ComfyUI-SeedVR2_VideoUpscaler](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler) - ComfyUI nodes for SeedVR2 diffusion-based video and image upscaling. - [Comfy-Org/workflow_templates](https://github.com/Comfy-Org/workflow_templates) - Official ComfyUI template workflows. **Video generation** - [calesthio/OpenMontage](https://github.com/calesthio/OpenMontage) - World's first open-source, agentic video production system. 12 production pipelines, 100+ tools. - [showlab/Awesome-Video-Diffusion](https://github.com/showlab/Awesome-Video-Diffusion) - A curated list of recent diffusion models for video generation, editing, and various other applications. - [hpcaitech/Open-Sora](https://github.com/hpcaitech/Open-Sora) - Open video generation. - [Wan-Video/Wan2.1](https://github.com/Wan-Video/Wan2.1) - Alibaba's open text/image-to-video generation and video-editing model suite. - [Lightricks/LTX-Video](https://github.com/Lightricks/LTX-Video) - Lightricks' open real-time text-to-video generation model. - [mikehalleen/the-halleen-machine](https://github.com/mikehalleen/the-halleen-machine) - Agentic system managing AI video projects via ComfyUI. - [genmoai/mochi](https://github.com/genmoai/mochi) - Open-source text-to-video generation models by Genmo. - [Tencent-Hunyuan/HunyuanVideo-1.5](https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5) - Lightweight open video generation model. - [zai-org/CogVideo](https://github.com/zai-org/CogVideo) - Open text-and-image-to-video generation (CogVideoX). - [Tencent-Hunyuan/HunyuanVideo](https://github.com/Tencent-Hunyuan/HunyuanVideo) - Large-scale open video generation model framework. - [SkyworkAI/SkyReels-V2](https://github.com/SkyworkAI/SkyReels-V2) - Infinite-length AI film generation model. - [SkyworkAI/SkyReels-V3](https://github.com/SkyworkAI/SkyReels-V3) - Multimodal video generation model. - [aigc-apps/VideoX-Fun](https://github.com/aigc-apps/VideoX-Fun) - Flexible video generation at any resolution, from text or images. - [PKU-YuanGroup/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan) - Open-source effort to reproduce Sora-class text-to-video. - [vita-epfl/Stable-Video-Infinity](https://github.com/vita-epfl/Stable-Video-Infinity) - Infinite-length video generation with error recycling. - [thu-ml/TurboDiffusion](https://github.com/thu-ml/TurboDiffusion) - 100-200x faster video diffusion inference. - [lllyasviel/FramePack](https://github.com/lllyasviel/FramePack) - Practical long-video diffusion generation on consumer GPUs. - [LudwigKienle/ai-video-production-editor](https://github.com/LudwigKienle/ai-video-production-editor) - Open-source AI video production editor with node pipelines. - [LinHao-city/StoryMind](https://github.com/LinHao-city/StoryMind) - LLM storyboard director that plans shots then generates AI films. - [harry0703/MoneyPrinterTurbo](https://github.com/harry0703/MoneyPrinterTurbo) - Generates short videos from a topic with an automated LLM workflow. - [heygen-com/hyperframes](https://github.com/heygen-com/hyperframes) - HTML-to-video rendering framework built for agents. - [meituan-longcat/LongCat-Video](https://github.com/meituan-longcat/LongCat-Video) - Meituan's open video generation model. - [edenfunf/reelmimic](https://github.com/edenfunf/reelmimic) - Agent crew that recreates the style of a video you show it. - [JayWebtech/autoshorts](https://github.com/JayWebtech/autoshorts) - Local desktop app that turns long recordings into vertical short clips. **Avatars & lip-sync** - [KlingAIResearch/LivePortrait](https://github.com/KlingAIResearch/LivePortrait) - Animate portraits into talking videos from a single photo. - [antgroup/echomimic](https://github.com/antgroup/echomimic) - Lifelike audio-driven portrait animation with editable landmarks. - [jixiaozhong/Sonic](https://github.com/jixiaozhong/Sonic) - Audio-driven portrait animation with global audio perception. - [antgroup/echomimic_v3](https://github.com/antgroup/echomimic_v3) - Unified multi-modal human animation model with 1.3B parameters. - [HumanAIGC/AnimateAnyone](https://github.com/HumanAIGC/AnimateAnyone) - Consistent controllable character animation from a single image. - [Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) - Accurate lip-sync of any video to any audio. - [met4citizen/TalkingHead](https://github.com/met4citizen/TalkingHead) - JavaScript 3D talking heads with real-time lip-sync. - [chanjing-ai/Chanjing-Avatar](https://github.com/chanjing-ai/Chanjing-Avatar) - Open-source audio-driven 720p talking-avatar generation on Wan2.1. - [AISHIWEILAI/syncanimation](https://github.com/AISHIWEILAI/syncanimation) - Real-time end-to-end audio-driven human animation framework. - [duixcom/Duix-Avatar](https://github.com/duixcom/Duix-Avatar) - Open-source offline toolkit for AI avatars and digital human cloning. **Image editing, upscaling & restoration** - [upscayl/upscayl](https://github.com/upscayl/upscayl) - Free open-source AI image upscaler for desktop. - [chaiNNer-org/chaiNNer](https://github.com/chaiNNer-org/chaiNNer) - Node-based image processing GUI for chaining upscaling tasks. - [k4yt3x/video2x](https://github.com/k4yt3x/video2x) - ML-based video super-resolution and frame interpolation. - [riponcm/nextgenUp](https://github.com/riponcm/nextgenUp) - Free local AI image and video upscaler. - [Noah-1919/Fottly](https://github.com/Noah-1919/Fottly) - Self-hosted AI image transformation and background removal service. - [danielgatis/rembg](https://github.com/danielgatis/rembg) - Remove image backgrounds with AI, via CLI or library. - [sczhou/CodeFormer](https://github.com/sczhou/CodeFormer) - Robust blind face restoration via codebook lookup transformers. - [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) - High-resolution dichotomous image segmentation for matting. - [Akascape/Rembg-Fuse](https://github.com/Akascape/Rembg-Fuse) - Free open-source AI background removal plugin for DaVinci Resolve. - [pq-yang/MatAnyone](https://github.com/pq-yang/MatAnyone) - Stable video matting with consistent memory propagation. - [rizavelioglu/tryoffdiff](https://github.com/rizavelioglu/tryoffdiff) - Virtual try-off: reconstruct garments from photos. - [tryonlabs/opentryon](https://github.com/tryonlabs/opentryon) - Open APIs and models for virtual try-on fashion apps. - [nxnai/Voost](https://github.com/nxnai/Voost) - Unified diffusion transformer for virtual try-on and try-off. - [facefusion/facefusion](https://github.com/facefusion/facefusion) - Industry-leading face swap and manipulation platform. - [hacksider/Deep-Live-Cam](https://github.com/hacksider/Deep-Live-Cam) - Real-time face swap for live video from a single image. - [Nutlope/logocreator](https://github.com/Nutlope/logocreator) - Free open-source AI logo generator powered by Flux. - [Zeyi-Lin/HivisionIDPhotos](https://github.com/Zeyi-Lin/HivisionIDPhotos) - Lightweight AI ID photo maker. - [omnichar/OmniChar](https://github.com/omnichar/OmniChar) - AI character studio for consistent multi-model identity and LoRA training. - [zyddnys/manga-image-translator](https://github.com/zyddnys/manga-image-translator) - OCR plus translation pipeline that rewrites text inside images and manga. **Training & fine-tuning** - [Nerogar/OneTrainer](https://github.com/Nerogar/OneTrainer) - GUI and CLI toolkit for training and fine-tuning diffusion models including LoRA. - [kohya-ss/sd-scripts](https://github.com/kohya-ss/sd-scripts) - Training scripts for DreamBooth, LoRA, and diffusion fine-tuning. - [bmaltais/kohya_ss](https://github.com/bmaltais/kohya_ss) - GUI for Kohya training scripts: DreamBooth, LoRA, and fine-tuning. - [ostris/ai-toolkit](https://github.com/ostris/ai-toolkit) - Toolkit for fine-tuning diffusion models: LoRA and DreamBooth. - [cocktailpeanut/fluxgym](https://github.com/cocktailpeanut/fluxgym) - Dead-simple FLUX LoRA training UI with low VRAM support. - [UNfukashigi/SDXL-LoRA-Factory](https://github.com/UNfukashigi/SDXL-LoRA-Factory) - GUI tool making SDXL LoRA training easy and intuitive. - [bghira/SimpleTuner](https://github.com/bghira/SimpleTuner) - Fine-tuning toolkit for image, video and audio diffusion models. **Audio & music generation** - [Stability-AI/stable-audio-tools](https://github.com/Stability-AI/stable-audio-tools) - Conditional audio and music generation models. - [multimodal-art-projection/YuE](https://github.com/multimodal-art-projection/YuE) - Frontier open music generation with lyrics and song structure. - [SonyResearch/Woosh](https://github.com/SonyResearch/Woosh) - Sony's foundation model for sound effect generation. - [magenta/magenta-realtime](https://github.com/magenta/magenta-realtime) - Open-weights live music generation model. - [xiaomi-research/controlfoley](https://github.com/xiaomi-research/controlfoley) - Controllable video-to-audio generation model. **3D generation** - [Tencent-Hunyuan/Hunyuan3D-2](https://github.com/Tencent-Hunyuan/Hunyuan3D-2) - High-resolution 3D asset generation with diffusion models. - [microsoft/TRELLIS](https://github.com/microsoft/TRELLIS) - Structured 3D latents for scalable and versatile 3D generation. - [Tencent-Hunyuan/HunyuanWorld-1.0](https://github.com/Tencent-Hunyuan/HunyuanWorld-1.0) - Generate explorable 3D worlds from text or images. - [Tencent-Hunyuan/Hunyuan3D-2.1](https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1) - Image-to-3D assets with production-ready PBR materials. ## Computer Use & GUI Agents *Agents that operate desktops, phones and apps.* **Browser & desktop agents** - [microsoft/magentic-ui](https://github.com/microsoft/magentic-ui) - Experimental web-browsing agent that works across the browser. - [anthropics/claude-quickstarts](https://github.com/anthropics/claude-quickstarts) - Includes the reference computer-use demo. - [alibaba/page-agent](https://github.com/alibaba/page-agent) - In-page JavaScript GUI agent that controls web interfaces with natural language. - [web-infra-dev/midscene](https://github.com/web-infra-dev/midscene) - Vision-based GUI agent for browser, mobile and desktop automation and testing. - [microsoft/fara](https://github.com/microsoft/fara) - Family of computer use agent models from Microsoft. - [Skyvern-AI/skyvern](https://github.com/Skyvern-AI/skyvern) - Automate browser based workflows with AI. - [yuruotong1/autoMate](https://github.com/yuruotong1/autoMate) - Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local. - [OpenAdaptAI/OpenAdapt](https://github.com/OpenAdaptAI/OpenAdapt) - Compiles a demonstrated GUI task into a program that reports VERIFIED only if an independent. - [openinterpreter/openinterpreter](https://github.com/openinterpreter/openinterpreter) - A coding agent for open models like Kimi K3 and GLM 5.3. - [microsoft/UFO](https://github.com/microsoft/UFO) - UI-focused agent for Windows OS interaction. - [bytedance/UI-TARS-desktop](https://github.com/bytedance/UI-TARS-desktop) - Desktop app for the UI-TARS GUI agent model. - [trycua/cua](https://github.com/trycua/cua) - Open-source computer-use stack: drivers, cross-OS VM fleets, models, and benchmarks. - [AmberSahdev/Open-Interface](https://github.com/AmberSahdev/Open-Interface) - Control Any Computer Using LLMs. - [mediar-ai/terminator](https://github.com/mediar-ai/terminator) - playwright for windows computer use. - [Jeomon/Windows-Use](https://github.com/Jeomon/Windows-Use) - An AI Agent that interacts with Windows OS at GUI level. - [CursorTouch/Windows-MCP](https://github.com/CursorTouch/Windows-MCP) - MCP Server for Computer Use in Windows. - [OthersideAI/self-operating-computer](https://github.com/OthersideAI/self-operating-computer) - A framework to enable a multimodal model to operate a computer. - [openclaw/Peekaboo](https://github.com/openclaw/Peekaboo) - Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots. - [peakmojo/macos-visual-agent](https://github.com/peakmojo/macos-visual-agent) - On-device screen understanding for macOS. - [screenpipe/screenpipe](https://github.com/screenpipe/screenpipe) - YC (S26) | Open Computer History | Record your screen continuously locally and provide. - [showlab/ShowUI-Aloha](https://github.com/showlab/ShowUI-Aloha) - Human-taught Computer-use Agent Designed for Real Windows and MacOS Desktops. - [askui/python-sdk](https://github.com/askui/python-sdk) - Enable AI to control your desktop, mobile and HMI devices. - [OpenGVLab/ScaleCUA](https://github.com/OpenGVLab/ScaleCUA) - Open-sourced computer-use agent that operates across Windows, macOS, Ubuntu, and Android. - [simular-ai/Agent-S](https://github.com/simular-ai/Agent-S) - Open agentic framework that uses computers like a human. - [TurixAI/TuriX-CUA](https://github.com/TurixAI/TuriX-CUA) - Computer-use agent that controls desktop apps from natural language. - [e2b-dev/open-computer-use](https://github.com/e2b-dev/open-computer-use) - Computer-use agent running open-source LLMs in an E2B desktop sandbox. - [lahfir/agent-desktop](https://github.com/lahfir/agent-desktop) - Rust CLI giving agents reliable desktop control through accessibility APIs. - [iFurySt/open-codex-computer-use](https://github.com/iFurySt/open-codex-computer-use) - Open-source alternative to Codex computer use, with an MCP server. - [webbrain-one/webbrain](https://github.com/webbrain-one/webbrain) - Open-source AI browser agent for Chrome and Firefox. **GUI grounding models & research** - [microsoft/OmniParser](https://github.com/microsoft/OmniParser) - A simple screen parsing tool towards pure vision based GUI agent. - [showlab/ShowUI](https://github.com/showlab/ShowUI) - Vision-language-action model for GUI agents. - [xlang-ai/OpenCUA](https://github.com/xlang-ai/OpenCUA) - [NeurIPS 2025 Spotlight] OpenCUA: Open Foundations for Computer-Use Agents. - [OSU-NLP-Group/UGround](https://github.com/OSU-NLP-Group/UGround) - [ICLR'25 Oral] UGround: Universal GUI Visual Grounding for GUI Agents. - [THUDM/SCALE-CUA](https://github.com/THUDM/SCALE-CUA) - Open-source framework for computer use agents: VeriGen verifiable task synthesis, online RL. - [mlfoundations/Gelato](https://github.com/mlfoundations/Gelato) - 🍨 Gelato — From Data Curation to Reinforcement Learning: Building a Strong Grounding Model. - [UCSB-AI/Screen-Point-and-Read](https://github.com/UCSB-AI/Screen-Point-and-Read) - Code repo for "Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens. - [likaixin2000/ScreenSpot-Pro-GUI-Grounding](https://github.com/likaixin2000/ScreenSpot-Pro-GUI-Grounding) - GUI Grounding for Professional High-Resolution Computer Use. - [inclusionAI/UI-Venus](https://github.com/inclusionAI/UI-Venus) - General-purpose foundation GUI agent for mobile, web, and desktop using screenshots as input. - [GUI-Libra/GUI-Libra](https://github.com/GUI-Libra/GUI-Libra) - Official code for NeurIPS 2026 paper "GUI-Libra: Training Native GUI Agents to Reason and Act. - [Tongyi-MAI/MAI-UI](https://github.com/Tongyi-MAI/MAI-UI) - Foundation GUI agent models for real-world mobile and desktop tasks. - [ZJU-REAL/ClawGUI](https://github.com/ZJU-REAL/ClawGUI) - Framework to train, evaluate and deploy GUI agents with online RL. **Mobile agents** - [minitap-ai/mobile-use](https://github.com/minitap-ai/mobile-use) - Agent framework that operates real Android and iOS apps. - [X-PLUG/MobileAgent](https://github.com/X-PLUG/MobileAgent) - Mobile-Agent: The Powerful GUI Agent Family. - [zai-org/Open-AutoGLM](https://github.com/zai-org/Open-AutoGLM) - An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone. - [OpenBMB/AgentCPM-GUI](https://github.com/OpenBMB/AgentCPM-GUI) - AgentCPM-GUI: An on-device GUI agent for operating Android apps, enhancing reasoning ability. - [mobile-next/mobile-mcp](https://github.com/mobile-next/mobile-mcp) - MCP server for automating iOS and Android devices, emulators and simulators. **Benchmarks & environments** - [ServiceNow/BrowserGym](https://github.com/ServiceNow/BrowserGym) - Gym environment for building and evaluating web automation agents. - [web-arena-x/webarena](https://github.com/web-arena-x/webarena) - Realistic web environment benchmark for autonomous web agents. - [google-research/android_world](https://github.com/google-research/android_world) - Official Google Research Android environment and benchmark for autonomous GUI agents. - [microsoft/WindowsAgentArena](https://github.com/microsoft/WindowsAgentArena) - Scalable Windows OS platform for testing and benchmarking multimodal AI agents. - [google-deepmind/android_env](https://github.com/google-deepmind/android_env) - RL research on Android devices. - [xlang-ai/OSWorld](https://github.com/xlang-ai/OSWorld) - Benchmark for multimodal agents acting in real computer environments. **RPA** - [chelslava/rpaforge](https://github.com/chelslava/rpaforge) - Open source Python RPA studio with visual process designer, recorder, debugger, and orchestrator. - [iflytek/astron-rpa](https://github.com/iflytek/astron-rpa) - Agent-ready RPA suite with out-of-the-box automation tools for individuals and enterprises. - [aisingapore/TagUI](https://github.com/aisingapore/TagUI) - Free RPA tool by AI Singapore. - [open-rpa/openrpa](https://github.com/open-rpa/openrpa) - Free Open Source Enterprise Grade RPA. - [botcity-dev/botcity-framework-core-python](https://github.com/botcity-dev/botcity-framework-core-python) - BotCity Framework - Python. - [tebelorg/RPA-Python](https://github.com/tebelorg/RPA-Python) - Python package for doing RPA. - [robocorp/rpaframework](https://github.com/robocorp/rpaframework) - Open-source RPA libraries and tools designed for use with Robot Framework and Python. - [oculix-org/Oculix](https://github.com/oculix-org/Oculix) - OculiX — Visual Automation IDE. If you can see it, you can automate it. - [intra2net/guibot](https://github.com/intra2net/guibot) - A tool for GUI automation using a variety of computer vision and display control backends. - [robotframework/robotframework](https://github.com/robotframework/robotframework) - Generic automation framework for acceptance testing and RPA. **Desktop automation libraries** - [SeleniumHQ/selenium](https://github.com/SeleniumHQ/selenium) - The W3C WebDriver standard for browser automation that GUI agents build on. - [autokey/autokey](https://github.com/autokey/autokey) - AutoKey, a desktop automation utility for Linux and X11. - [AutoHotkey/AutoHotkey](https://github.com/AutoHotkey/AutoHotkey) - AutoHotkey - macro-creation and automation-oriented scripting utility for Windows. - [Jmgr/actiona](https://github.com/Jmgr/actiona) - Actiona 3: cross-platform automation tool. - [pywinauto/pywinauto](https://github.com/pywinauto/pywinauto) - Windows GUI Automation with Python (based on text properties). - [enigo-rs/enigo](https://github.com/enigo-rs/enigo) - Cross platform input simulation in Rust. - [yinkaisheng/Python-UIAutomation-for-Windows](https://github.com/yinkaisheng/Python-UIAutomation-for-Windows) - Python 3 wrapper of Microsoft UIAutomation for MFC, WinForms, WPF, Qt, and browsers. - [go-vgo/robotgo](https://github.com/go-vgo/robotgo) - Go-native cross-platform library for RPA, GUI automation, automated testing, and computer use. - [FlaUI/FlaUI](https://github.com/FlaUI/FlaUI) - UI automation library for .Net. - [jordansissel/xdotool](https://github.com/jordansissel/xdotool) - fake keyboard/mouse input, window management, and more. - [ReimuNotMoe/ydotool](https://github.com/ReimuNotMoe/ydotool) - Generic command-line automation tool. - [boppreh/keyboard](https://github.com/boppreh/keyboard) - Hook and simulate global keyboard events on Windows and Linux. - [ra1nty/DXcam](https://github.com/ra1nty/DXcam) - High-performance Python screen capture library for Windows using the Desktop Duplication API. - [kwhat/libuiohook](https://github.com/kwhat/libuiohook) - A multi-platform C library to provide global keyboard and mouse hooks from userland. - [BoboTiG/python-mss](https://github.com/BoboTiG/python-mss) - Ultra-fast cross-platform screenshot module in pure Python using ctypes. - [autopilot-rs/autopilot-rs](https://github.com/autopilot-rs/autopilot-rs) - A simple, cross-platform GUI automation module for Rust. - [octalmage/robotjs](https://github.com/octalmage/robotjs) - Node.js Desktop Automation. **Mobile device automation** - [honeynet/droidbot](https://github.com/honeynet/droidbot) - A lightweight test input generator for Android. Similar to Monkey, but with more intelligence. - [openatx/uiautomator2](https://github.com/openatx/uiautomator2) - Android Uiautomator2 Python Wrapper. - [appium/appium-mcp](https://github.com/appium/appium-mcp) - Appium MCP on Steroids!. - [mobile-dev-inc/Maestro](https://github.com/mobile-dev-inc/Maestro) - Painless E2E Automation for Mobile and Web. - [devicelab-dev/maestro-runner](https://github.com/devicelab-dev/maestro-runner) - Fast mobile UI test automation for Android, iOS, React Native, Flutter & Expo. Open-source. - [alibaba/tidevice](https://github.com/alibaba/tidevice) - tidevice can be used to communicate with iPhone device. - [doronz88/pymobiledevice3](https://github.com/doronz88/pymobiledevice3) - Pure python3 implementation for working with iDevices (iPhone, etc...). - [Genymobile/scrcpy](https://github.com/Genymobile/scrcpy) - Display and control your Android device. - [danielpaulus/go-ios](https://github.com/danielpaulus/go-ios) - This is an operating system independent implementation of iOS device features. You can run UI. - [barry-ran/QtScrcpy](https://github.com/barry-ran/QtScrcpy) - Android real-time display control software. - [libimobiledevice/libimobiledevice](https://github.com/libimobiledevice/libimobiledevice) - A cross-platform protocol library to communicate with iOS devices. - [budtmo/docker-android](https://github.com/budtmo/docker-android) - Android in docker solution with noVNC supported, video recording, mcp server and AI-agent. - [AirtestProject/Airtest](https://github.com/AirtestProject/Airtest) - UI Automation Framework for Games and Apps. - [appium/appium](https://github.com/appium/appium) - Cross-platform automation for mobile apps on the WebDriver protocol. - [callstack/agent-device](https://github.com/callstack/agent-device) - Mobile app automation and verification for AI coding agents. **VMs & remote desktop** - [waydroid/waydroid](https://github.com/waydroid/waydroid) - Waydroid uses a container-based approach to boot a full Android system on a regular GNU/Linux. - [sickcodes/Docker-OSX](https://github.com/sickcodes/Docker-OSX) - Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X. - [kholia/OSX-KVM](https://github.com/kholia/OSX-KVM) - Run macOS on QEMU/KVM. With OpenCore + Monterey + Ventura + Sonoma support now! Only. - [quickemu-project/quickemu](https://github.com/quickemu-project/quickemu) - Quickly create and run optimised Windows, macOS and Linux virtual machines. - [novnc/websockify](https://github.com/novnc/websockify) - Websockify is a WebSocket to TCP proxy/bridge. This allows a browser to connect to any. - [TigerVNC/tigervnc](https://github.com/TigerVNC/tigervnc) - High performance, multi-platform VNC client and server. - [apache/guacamole-server](https://github.com/apache/guacamole-server) - The Apache Guacamole proxy daemon (guacd), C API (libguac), and protocol support. - [apache/guacamole-client](https://github.com/apache/guacamole-client) - The Apache Guacamole web application, official extensions, and JavaScript library. - [FreeRDP/FreeRDP](https://github.com/FreeRDP/FreeRDP) - FreeRDP is a free remote desktop protocol library and clients. - [Ylianst/MeshCentral](https://github.com/Ylianst/MeshCentral) - A complete web-based remote monitoring and management web site. Once setup you can install. - [FreeRDP/Remmina](https://github.com/FreeRDP/Remmina) - Mirror of https://gitlab.com/Remmina/Remmina The GTK+ Remmina Remote Desktop Client. - [rustdesk/rustdesk](https://github.com/rustdesk/rustdesk) - Open-source remote desktop application designed for self-hosting, an alternative to TeamViewer. - [neutrinolabs/xrdp](https://github.com/neutrinolabs/xrdp) - xrdp: an open source RDP server. - [kasmtech/KasmVNC](https://github.com/kasmtech/KasmVNC) - Modern VNC Server and client, web based and secure. - [feschber/lan-mouse](https://github.com/feschber/lan-mouse) - mouse & keyboard sharing via LAN. - [deskflow/deskflow](https://github.com/deskflow/deskflow) - Share a single keyboard and mouse between multiple computers. - [LizardByte/Sunshine](https://github.com/LizardByte/Sunshine) - Self-hosted game stream host for Moonlight. - [veyon/veyon](https://github.com/veyon/veyon) - Cross-platform computer monitoring and classroom management. - [any1/wayvnc](https://github.com/any1/wayvnc) - A VNC server for wlroots based Wayland compositors. - [dwservice/agent](https://github.com/dwservice/agent) - DWService agent for Linux, Mac and Windows. - [selkies-project/selkies](https://github.com/selkies-project/selkies) - Low-Latency Accelerated Web Remote Desktop Streaming Platform for Self-Hosting, Containers. - [Xpra-org/xpra](https://github.com/Xpra-org/xpra) - Persistent remote applications for X11; screen sharing for X11, MacOS and MSWindows. - [rdesktop/rdesktop](https://github.com/rdesktop/rdesktop) - 🚨 rdesktop is in need of a new maintainter. Please see the home page for more details. 🚨. - [novnc/noVNC](https://github.com/novnc/noVNC) - HTML5 VNC client for remote desktop access from any browser. ## Structured Output, Guardrails & Safety *Validation, constrained decoding, jailbreak and injection defense.* **Structured output** - [567-labs/instructor](https://github.com/567-labs/instructor) - Structured outputs from any LLM via Pydantic models. - [dottxt-ai/outlines](https://github.com/dottxt-ai/outlines) - Constrained generation: guarantee JSON, regex or grammar-valid output. - [mlc-ai/xgrammar](https://github.com/mlc-ai/xgrammar) - Fast, portable structured generation engine for LLM outputs. - [guidance-ai/guidance](https://github.com/guidance-ai/guidance) - Microsoft's language for structured, constrained LLM generation. - [noamgat/lm-format-enforcer](https://github.com/noamgat/lm-format-enforcer) - Token-level filtering that enforces JSON Schema or regex output. - [microsoft/TypeChat](https://github.com/microsoft/TypeChat) - Natural language interfaces via types with schema-validated output. - [BoundaryML/baml](https://github.com/BoundaryML/baml) - Structured-output language for building reliable LLM agents. - [google/langextract](https://github.com/google/langextract) - Extracts structured information from text with precise source grounding. - [urchade/GLiNER](https://github.com/urchade/GLiNER) - Lightweight NER model for extracting any entity types from text. - [mangiucugna/json_repair](https://github.com/mangiucugna/json_repair) - Repairs malformed JSON from LLMs, APIs, logs, and user input. - [guidance-ai/llguidance](https://github.com/guidance-ai/llguidance) - High-performance structured output and grammar-constrained decoding. - [promplate/partial-json-parser](https://github.com/promplate/partial-json-parser) - Parses partial and incomplete JSON streamed from LLMs. - [explosion/spacy-llm](https://github.com/explosion/spacy-llm) - Integrates LLMs into structured NLP pipelines with spaCy. - [vamplabAI/sgr-agent-core](https://github.com/vamplabAI/sgr-agent-core) - Schema-guided reasoning agent framework built on structured outputs. **Guardrails** - [guardrails-ai/guardrails](https://github.com/guardrails-ai/guardrails) - Input/output validators for LLM applications. - [NVIDIA-NeMo/Guardrails](https://github.com/NVIDIA-NeMo/Guardrails) - Programmable rails for conversational systems. - [superagent-ai/superagent](https://github.com/superagent-ai/superagent) - Superagent protects your AI applications against prompt injections, data leaks, and harmful. - [microsoft/agent-governance-toolkit](https://github.com/microsoft/agent-governance-toolkit) - AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and. - [invariantlabs-ai/invariant](https://github.com/invariantlabs-ai/invariant) - Guardrails for secure and robust agent development. - [archestra-ai/OpenAPPA](https://github.com/archestra-ai/OpenAPPA) - Deterministic guardrails that constrain agent actions without breaking them. - [ibm-granite/granite-guardian](https://github.com/ibm-granite/granite-guardian) - Detects risks in prompts and responses for LLM safety. - [unitaryai/detoxify](https://github.com/unitaryai/detoxify) - Toxic comment classifier built on HuggingFace Transformers. - [mthamil107/prompt-shield](https://github.com/mthamil107/prompt-shield) - Prompt injection firewall with PII scanning for LLM inputs. - [data-privacy-stack/presidio](https://github.com/data-privacy-stack/presidio) - PII detection, redaction and anonymization for text and images. - [mohankrishnaganne/LLM-Evaluation-and-Guardrails-Framework](https://github.com/mohankrishnaganne/LLM-Evaluation-and-Guardrails-Framework) - Production framework for evaluating RAG pipelines and enforcing LLM guardrails. - [royalpinto007/awesome-llm-guardrails](https://github.com/royalpinto007/awesome-llm-guardrails) - Curated list of open-source guardrails for LLM applications. - [baoguangsheng/fast-detect-gpt](https://github.com/baoguangsheng/fast-detect-gpt) - Zero-shot detector for machine-generated text. - [cedar-policy/cedar](https://github.com/cedar-policy/cedar) - Policy language for fine-grained access control in applications. - [nolabs-ai/nono](https://github.com/nolabs-ai/nono) - Zero-trust micro sandboxes for securing agent runtimes. **Prompt injection defense** - [agencyenterprise/PromptInject](https://github.com/agencyenterprise/PromptInject) - Framework quantifying prompt robustness to injection. - [praetorian-inc/augustus](https://github.com/praetorian-inc/augustus) - LLM vulnerability scanner for prompt injection and jailbreaks. - [liu00222/Open-Prompt-Injection](https://github.com/liu00222/Open-Prompt-Injection) - Toolkit for prompt injection attacks and defenses in LLMs. - [ethz-spylab/agentdojo](https://github.com/ethz-spylab/agentdojo) - Environment evaluating prompt injection attacks on LLM agents. - [AgentPostmortem/Injection-arena](https://github.com/AgentPostmortem/Injection-arena) - Self-hostable prompt-injection CTF game with stacked AI defenses. - [utkusen/promptmap](https://github.com/utkusen/promptmap) - Security scanner for prompt injection in custom LLM applications. **Red-teaming & security scanners** - [usestrix/strix](https://github.com/usestrix/strix) - Open-source AI penetration testing tool to find and fix your app’s vulnerabilities. - [KeygraphHQ/shannon](https://github.com/KeygraphHQ/shannon) - Shannon is an AI pentester for web applications and APIs. It analyzes your source code. - [NVIDIA/garak](https://github.com/NVIDIA/garak) - The LLM vulnerability scanner. - [Giskard-AI/giskard-oss](https://github.com/Giskard-AI/giskard-oss) - Open-Source Evaluation & Testing library for LLM Agents. - [confident-ai/deepteam](https://github.com/confident-ai/deepteam) - DeepTeam is a framework to red team LLMs and AI agents. - [microsoft/AI-Red-Teaming-Playground-Labs](https://github.com/microsoft/AI-Red-Teaming-Playground-Labs) - AI Red Teaming playground labs to run AI Red Teaming trainings including infrastructure. - [msoedov/agentic_security](https://github.com/msoedov/agentic_security) - Agentic LLM Vulnerability Scanner / AI red teaming kit. - [Pantheon-Security/medusa](https://github.com/Pantheon-Security/medusa) - AI-first security scanner with 40k+ detection patterns. - [NuGuardAI/nuguard](https://github.com/NuGuardAI/nuguard) - AI red-teaming toolkit for prompt injections and agents. - [snyk/agent-scan](https://github.com/snyk/agent-scan) - Security scanner for AI agents, MCP servers and skills. - [cisco-ai-defense/mcp-scanner](https://github.com/cisco-ai-defense/mcp-scanner) - Scanner for MCP tools, prompts and supply-chain packages. - [microsoft/PyRIT](https://github.com/microsoft/PyRIT) - Red-teaming framework for identifying genAI risks. - [OWASP/AISVS](https://github.com/OWASP/AISVS) - Testable security verification requirements for AI applications. - [thinkst/canarytokens](https://github.com/thinkst/canarytokens) - Canary tokens that alert when accessed, for detecting breaches. - [Trusted-AI/adversarial-robustness-toolbox](https://github.com/Trusted-AI/adversarial-robustness-toolbox) - Library for ML security: evasion, poisoning, extraction, and inference attacks. - [rogue-security/rogue](https://github.com/rogue-security/rogue) - Red-team platform evaluating AI agents against security policies. - [vxcontrol/pentagi](https://github.com/vxcontrol/pentagi) - Autonomous AI agents for penetration testing. - [Autumn-27/ARTEX](https://github.com/Autumn-27/ARTEX) - Autonomous AI penetration testing system (Chinese). **Model supply-chain security** - [safetensors/safetensors](https://github.com/safetensors/safetensors) - Safe tensor storage format preventing arbitrary code execution. - [trailofbits/fickling](https://github.com/trailofbits/fickling) - Static analyzer and decompiler for Python pickle model files. - [protectai/modelscan](https://github.com/protectai/modelscan) - Scans models for serialization attacks and unsafe code. ## Chat UIs & Application Layer *Front-ends, chat interfaces and app scaffolds.* **Chat apps** - [Cinnamon/kotaemon](https://github.com/Cinnamon/kotaemon) - Open-source RAG tool for chatting with documents. - [chatchat-space/Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) - RAG and agent chat over local LLMs with a web UI. - [xxnuo/open-coreui](https://github.com/xxnuo/open-coreui) - Rust rewrite of Open WebUI with a much smaller memory footprint. - [outsourc-e/hermes-workspace](https://github.com/outsourc-e/hermes-workspace) - Web workspace with chat, terminal, memory and skills for Hermes Agent. - [LibreChat-AI/LibreChat](https://github.com/LibreChat-AI/LibreChat) - Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI. - [lobehub/lobehub](https://github.com/lobehub/lobehub) - LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring. - [ChatGPTNextWeb/NextChat](https://github.com/ChatGPTNextWeb/NextChat) - Zero-config AI chat assistant. No API key needed — sign up and instantly chat with GPT-5. - [Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) - Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience. - [huggingface/chat-ui](https://github.com/huggingface/chat-ui) - Hugging Face's open chat UI; the reference self-hosted ChatGPT-style frontend. - [ai-shifu/ChatALL](https://github.com/ai-shifu/ChatALL) - Chat with all AI bots concurrently in one UI. - [GaiZhenbiao/ChuanhuChatGPT](https://github.com/GaiZhenbiao/ChuanhuChatGPT) - GUI for ChatGPT API and LLMs with agents and file QA. - [MatthiasLubbertsen/HatGPT](https://github.com/MatthiasLubbertsen/HatGPT) - ChatGPT-style UI clone running on HackClub AI. - [Karthik7013/chatgpt-clone](https://github.com/Karthik7013/chatgpt-clone) - Next.js + shadcn chat app on the Vercel AI SDK. - [arc53/DocsGPT](https://github.com/arc53/DocsGPT) - Private RAG chat platform for documents and enterprise search. - [bionic-gpt/bionic-gpt](https://github.com/bionic-gpt/bionic-gpt) - On-premise enterprise RAG chat with private data. - [open-webui/open-webui](https://github.com/open-webui/open-webui) - Self-hosted chat UI for Ollama and OpenAI-compatible backends. **Desktop & terminal clients** - [open-webui/desktop](https://github.com/open-webui/desktop) - Desktop app packaging Open WebUI for running local and remote models. - [oobabooga/textgen](https://github.com/oobabooga/textgen) - Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private. - [janhq/jan](https://github.com/janhq/jan) - Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. - [CherryHQ/cherry-studio](https://github.com/CherryHQ/cherry-studio) - Cross-platform AI desktop client with multi-provider support and MCP tools. - [50BytesOfJohn/hanoki](https://github.com/50BytesOfJohn/hanoki) - Electron AI chat app with branching conversations. - [RunanywhereAI/runanywhere-electron](https://github.com/RunanywhereAI/runanywhere-electron) - On-device LLM, vision, speech and RAG desktop app. - [adamaoc/grokforge](https://github.com/adamaoc/grokforge) - Electron workspace for a multi-root coding agent. - [teddashh/multi-ai-chat-desktop](https://github.com/teddashh/multi-ai-chat-desktop) - Tauri app orchestrating ChatGPT, Claude, Gemini and Grok. - [Calculator5329/GatesAI-Chat](https://github.com/Calculator5329/GatesAI-Chat) - Local-first Tauri chat with Claude-Code-style agency. - [assistance-micro-design/Zileo-Chat](https://github.com/assistance-micro-design/Zileo-Chat) - Multi-agent Tauri chat with MCP tools and SurrealDB. - [eaonlabs/eaon-desktop](https://github.com/eaonlabs/eaon-desktop) - Tauri AI chat with agent mode and an Ollama model library. - [ripperhe/Bob](https://github.com/ripperhe/Bob) - macOS translation and OCR app with LLM plugins. - [nextai-translator/nextai-translator](https://github.com/nextai-translator/nextai-translator) - Browser extension and desktop AI translator app. - [chatboxai/chatbox](https://github.com/chatboxai/chatbox) - Cross-platform desktop AI chat client for multiple providers. - [olliedoganay/AtlasChat](https://github.com/olliedoganay/AtlasChat) - Desktop app for chatting with local Ollama models. - [roojs/OLLMchat](https://github.com/roojs/OLLMchat) - GTK and terminal Ollama chat client with tool support. - [qwersyk/Newelle](https://github.com/qwersyk/Newelle) - Linux virtual assistant with voice and chat interface. - [aandrew-me/tgpt](https://github.com/aandrew-me/tgpt) - Terminal-based AI chatbot with free providers. - [Jeffser/Alpaca](https://github.com/Jeffser/Alpaca) - GTK client for chatting with local and online AI models. - [josStorer/RWKV-Runner](https://github.com/josStorer/RWKV-Runner) - Desktop manager and runner for RWKV models with OpenAI API. - [Renset/macai](https://github.com/Renset/macai) - Native macOS AI chat app supporting many providers. - [szczyglis-dev/py-gpt](https://github.com/szczyglis-dev/py-gpt) - Desktop AI assistant with chat and agent mode for many providers. - [OpenAgentPlatform/Dive](https://github.com/OpenAgentPlatform/Dive) - Desktop MCP host application that connects tool-calling LLMs to MCP servers. - [lencx/ChatGPT](https://github.com/lencx/ChatGPT) - ChatGPT desktop app for Mac, Windows and Linux. **Mobile clients** - [cogwheel0/conduit](https://github.com/cogwheel0/conduit) - Native iOS and Android client for Open WebUI and OpenAI-compatible backends. - [jiayueshiliuqi/MoFa](https://github.com/jiayueshiliuqi/MoFa) - Mobile-first LLM chat client for Android. - [timmyy123/LLM-Hub](https://github.com/timmyy123/LLM-Hub) - Open-source mobile app for on-device LLM and media generation. - [a-ghorbani/pocketpal-ai](https://github.com/a-ghorbani/pocketpal-ai) - Run language models directly on your phone. - [gluonfield/enchanted](https://github.com/gluonfield/enchanted) - iOS and macOS app for private self-hosted LLMs. - [nobodywho-ooo/NobodyWho-Chat](https://github.com/nobodywho-ooo/NobodyWho-Chat) - Fully offline private AI assistant for iOS and Android. - [rikkahub/rikkahub](https://github.com/rikkahub/rikkahub) - Android app for chatting with multiple LLM providers. - [JHubi1/ollama-app](https://github.com/JHubi1/ollama-app) - Modern multi-platform client for Ollama chat. - [aws-samples/sample-mobile-ai-assistant](https://github.com/aws-samples/sample-mobile-ai-assistant) - Cross-platform mobile AI assistant app built with React Native. **AI search & research** - [miurla/morphic](https://github.com/miurla/morphic) - AI-powered search engine with a generative UI. - [ItzCrazyKns/Vane](https://github.com/ItzCrazyKns/Vane) - AI-powered answering engine (formerly Perplexica). - [binary-husky/gpt_academic](https://github.com/binary-husky/gpt_academic) - LLM interface optimized for paper reading and writing. - [dzhng/deep-research](https://github.com/dzhng/deep-research) - AI research assistant with an iterative deep-research UI. - [u14app/deep-research](https://github.com/u14app/deep-research) - Deep research on any LLM with SSE API and MCP server. **Character & roleplay** - [SillyTavern/SillyTavern](https://github.com/SillyTavern/SillyTavern) - LLM frontend for power users: characters, lorebooks, extensions. - [agnaistic/agnai](https://github.com/agnaistic/agnai) - Multi-user AI chat platform for fictional characters. - [kwaroran/Risuai](https://github.com/kwaroran/Risuai) - User-friendly LLM roleplay and character chat software. - [steve02081504/fount](https://github.com/steve02081504/fount) - Programmable agent runtime for AI characters and immersive chats. **Bots & support platforms** - [father-bot/chatgpt_telegram_bot](https://github.com/father-bot/chatgpt_telegram_bot) - Feature-rich ChatGPT Telegram bot frontend. - [Tiledesk/tiledesk](https://github.com/Tiledesk/tiledesk) - Open-source conversational platform with live chat and chatbots. - [NaomiProject/Naomi](https://github.com/NaomiProject/Naomi) - Open-source platform for voice-controlled always-on assistants. - [theopenconversationkit/tock](https://github.com/theopenconversationkit/tock) - Open-source toolkit for building conversational AI assistants. - [chatwoot/chatwoot](https://github.com/chatwoot/chatwoot) - Open-source omnichannel live chat and support desk. **AI workspaces** - [u14app/neo-chat](https://github.com/u14app/neo-chat) - Local-first AI chat workspace with agents, plugins, search and RAG. - [AppFlowy-IO/AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) - AI collaborative workspace; open Notion alternative. - [toeverything/AFFiNE](https://github.com/toeverything/AFFiNE) - Next-gen knowledge base with an AI copilot. - [odysseus-dev/odysseus](https://github.com/odysseus-dev/odysseus) - Self-hosted AI workspace. - [cloudflare/cloudflare-os](https://github.com/cloudflare/cloudflare-os) - Agent workspace on Cloudflare Workers for documents, apps and agents. ## Deployment, Serving & MLOps *Ship and operate models and agents in production.* **Model serving** - [microsoft/onnxruntime](https://github.com/microsoft/onnxruntime) - Cross-platform inference engine for serving ML models in production. - [onnx/onnx](https://github.com/onnx/onnx) - Open standard format for portable, interoperable ML models. - [kserve/kserve](https://github.com/kserve/kserve) - Standardized serverless inference platform on Kubernetes for predictive and generative AI. - [triton-inference-server/server](https://github.com/triton-inference-server/server) - NVIDIA's multi-framework inference server with dynamic batching and ensembles. - [SeldonIO/seldon-core](https://github.com/SeldonIO/seldon-core) - MLOps framework to package, deploy, monitor, and manage production ML models. - [bentoml/BentoML](https://github.com/bentoml/BentoML) - Build and serve model inference APIs, job queues, and multi-model pipelines. - [SeldonIO/MLServer](https://github.com/SeldonIO/MLServer) - Multi-framework ML inference server with multi-model serving support. - [basetenlabs/truss](https://github.com/basetenlabs/truss) - The simplest way to package and serve AI/ML models in production. - [tensorflow/serving](https://github.com/tensorflow/serving) - Flexible, high-performance serving system for machine learning models. - [replicate/cog](https://github.com/replicate/cog) - Containers for machine learning: package models reproducibly behind an API. - [vllm-project/production-stack](https://github.com/vllm-project/production-stack) - Reference system for Kubernetes-native, cluster-wide vLLM deployment. - [vllm-project/aibrix](https://github.com/vllm-project/aibrix) - Cost-efficient, pluggable infrastructure components for GenAI inference. - [llm-d/llm-d](https://github.com/llm-d/llm-d) - Kubernetes-native distributed LLM inference with state-of-the-art performance. - [ogx-ai/ogx](https://github.com/ogx-ai/ogx) - OpenAI-compatible agentic API server; run any model on any infrastructure. - [ai-dynamo/dynamo](https://github.com/ai-dynamo/dynamo) - Datacenter-scale distributed inference serving framework from NVIDIA. - [xorbitsai/inference](https://github.com/xorbitsai/inference) - Unified production API to serve LLMs, embeddings, and multimodal models. - [InternLM/lmdeploy](https://github.com/InternLM/lmdeploy) - Toolkit for compressing, deploying, and serving LLMs at high throughput. - [lm-sys/FastChat](https://github.com/lm-sys/FastChat) - Open platform for training, serving, and evaluating large language models. - [dphnAI/sonar](https://github.com/dphnAI/sonar) - Large-scale LLM inference engine, successor of the Aphrodite Engine fork. - [ServerlessLLM/ServerlessLLM](https://github.com/ServerlessLLM/ServerlessLLM) - Serverless LLM serving with fast cold starts for everyone. - [predibase/lorax](https://github.com/predibase/lorax) - Multi-LoRA inference server scaling to thousands of fine-tuned adapters. - [ModelTC/LightLLM](https://github.com/ModelTC/LightLLM) - Lightweight, easy-to-scale, high-speed Python LLM serving framework. - [OpenNMT/CTranslate2](https://github.com/OpenNMT/CTranslate2) - Fast inference engine for Transformer models in C++ and Python. - [beam-cloud/beta9](https://github.com/beam-cloud/beta9) - Ultrafast serverless GPU inference, sandboxes, and background jobs. - [vllm-project/vllm-ascend](https://github.com/vllm-project/vllm-ascend) - Community hardware plugin running vLLM on Huawei Ascend NPUs. - [alibaba/rtp-llm](https://github.com/alibaba/rtp-llm) - Alibaba's high-performance LLM inference engine. **MLOps platforms & pipelines** - [kubeflow/kubeflow](https://github.com/kubeflow/kubeflow) - Machine Learning Toolkit for Kubernetes. - [Netflix/metaflow](https://github.com/Netflix/metaflow) - Build, Manage and Deploy AI/ML Systems. - [zenml-io/zenml](https://github.com/zenml-io/zenml) - ZenML : One AI Platform from Pipelines to Agents. https://zenml.io. - [ray-project/ray](https://github.com/ray-project/ray) - Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. - [skypilot-org/skypilot](https://github.com/skypilot-org/skypilot) - Multi-cloud AI compute orchestration for training and serving. - [modal-labs/modal-client](https://github.com/modal-labs/modal-client) - Official SDKs for Modal's serverless GPU cloud platform. - [argoproj/argo-workflows](https://github.com/argoproj/argo-workflows) - Kubernetes-native workflow engine for orchestrating ML and agent pipelines. - [apache/airflow](https://github.com/apache/airflow) - The de-facto platform for orchestrating ML and data pipelines in production. - [huggingface/huggingface_hub](https://github.com/huggingface/huggingface_hub) - Official CLI and Python client for the Hugging Face model Hub. - [dstackai/dstack](https://github.com/dstackai/dstack) - Orchestrate training and inference across GPU clouds, K8s, and bare metal. - [gpustack/gpustack](https://github.com/gpustack/gpustack) - GPU cluster manager for vLLM/SGLang serving and on-demand GPU instances. - [kedro-org/kedro-viz](https://github.com/kedro-org/kedro-viz) - Visualize Kedro data and ML pipelines and track experiments. - [tensorflow/tfx](https://github.com/tensorflow/tfx) - End-to-end platform for deploying production ML pipelines. - [kubeflow/pipelines](https://github.com/kubeflow/pipelines) - Portable, scalable machine learning workflows on Kubernetes. - [mlrun/mlrun](https://github.com/mlrun/mlrun) - MLOps platform for continuous ML applications across their lifecycle. - [polyaxon/polyaxon](https://github.com/polyaxon/polyaxon) - AI orchestration and control plane for ML workloads. - [Human-Agent-Society/reef](https://github.com/Human-Agent-Society/reef) - Serves agent traffic, records feedback, and publishes versioned weight or harness updates. **Experiment tracking** - [mlflow/mlflow](https://github.com/mlflow/mlflow) - The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of. - [clearml/clearml](https://github.com/clearml/clearml) - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data. - [wandb/wandb](https://github.com/wandb/wandb) - The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production. - [marimo-team/marimo](https://github.com/marimo-team/marimo) - A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a. - [kubeflow/katib](https://github.com/kubeflow/katib) - Automated hyperparameter tuning and neural architecture search on K8s. - [optuna/optuna](https://github.com/optuna/optuna) - Automatic hyperparameter optimization framework for ML. - [aimhubio/aim](https://github.com/aimhubio/aim) - Self-hostable experiment tracker built for high-volume run comparison. - [treeverse/dvclive](https://github.com/treeverse/dvclive) - Log and track ML metrics, parameters, and models with Git/DVC. - [iterative/gto](https://github.com/iterative/gto) - Turn any Git repository into an artifact and model registry. - [kubeflow/hub](https://github.com/kubeflow/hub) - Central model registry UI for the Kubeflow MLOps lifecycle. - [DagsHub/client](https://github.com/DagsHub/client) - Client libraries for the DagsHub ML experiment tracking platform. - [SwanHubX/SwanLab](https://github.com/SwanHubX/SwanLab) - Experiment tracking and visualization for AI training. **Kubernetes for AI workloads** - [k8sgpt-ai/k8sgpt](https://github.com/k8sgpt-ai/k8sgpt) - Giving Kubernetes Superpowers to everyone. - [kedacore/keda](https://github.com/kedacore/keda) - Event-driven autoscaling for Kubernetes, including scale-to-zero GPU inference. - [apache/yunikorn-core](https://github.com/apache/yunikorn-core) - Apache YuniKorn scheduler core for big-data and ML job placement. - [volcano-sh/volcano](https://github.com/volcano-sh/volcano) - Cloud-native batch scheduling system for AI and HPC workloads. - [kubernetes-sigs/kueue](https://github.com/kubernetes-sigs/kueue) - Kubernetes-native job queueing for batch AI and ML workloads. - [kubernetes-sigs/karpenter](https://github.com/kubernetes-sigs/karpenter) - Flexible, high-performance Kubernetes node autoscaler. - [NVIDIA/gpu-operator](https://github.com/NVIDIA/gpu-operator) - Automates GPU provisioning, configuration, and management on Kubernetes. - [Project-HAMi/HAMi](https://github.com/Project-HAMi/HAMi) - Share heterogeneous GPUs across Kubernetes workloads efficiently. - [kubeflow/mpi-operator](https://github.com/kubeflow/mpi-operator) - Kubernetes operator for MPI-based distributed training jobs. - [kubernetes-sigs/lws](https://github.com/kubernetes-sigs/lws) - Deploy leader-worker pod groups as a unit for multi-node inference. - [kubeflow/trainer](https://github.com/kubeflow/trainer) - Distributed model training and LLM fine-tuning on Kubernetes. - [kubernetes-sigs/jobset](https://github.com/kubernetes-sigs/jobset) - Kubernetes-native API for distributed ML training and HPC jobs. - [ray-project/kuberay](https://github.com/ray-project/kuberay) - Toolkit to run Ray AI applications on Kubernetes. - [project-codeflare/codeflare-operator](https://github.com/project-codeflare/codeflare-operator) - Operate Red Hat's distributed AI workload stack on OpenShift. **Edge & lightweight Kubernetes** - [openshift/microshift](https://github.com/openshift/microshift) - Small-form-factor Kubernetes optimized for edge computing. - [openyurtio/openyurt](https://github.com/openyurtio/openyurt) - Extend native Kubernetes to edge nodes, a CNCF project. - [kubeedge/kubeedge](https://github.com/kubeedge/kubeedge) - Kubernetes-native edge computing framework, a CNCF project. - [k3s-io/k3s](https://github.com/k3s-io/k3s) - Lightweight certified Kubernetes distribution for edge and IoT. - [k0sproject/k0s](https://github.com/k0sproject/k0s) - Zero-friction lightweight Kubernetes for edge and bare metal. - [siderolabs/talos](https://github.com/siderolabs/talos) - Immutable Linux distribution purpose-built for Kubernetes. **Serverless** - [knative/serving](https://github.com/knative/serving) - Scale-to-zero, request-driven serverless compute on Kubernetes. - [openfaas/faas](https://github.com/openfaas/faas) - Serverless functions made simple, on Kubernetes or faasd. - [nuclio/nuclio](https://github.com/nuclio/nuclio) - High-performance serverless event and data processing platform. - [fission/fission](https://github.com/fission/fission) - Fast and simple serverless functions for Kubernetes. **GitOps, CI & dev environments** - [argoproj/argo-cd](https://github.com/argoproj/argo-cd) - GitOps continuous delivery for Kubernetes; how agents ship to clusters. - [helm/helm](https://github.com/helm/helm) - The package manager for Kubernetes; the standard way to ship apps to clusters. - [fluxcd/flux2](https://github.com/fluxcd/flux2) - Open GitOps continuous delivery solution for Kubernetes. - [fluxcd/flagger](https://github.com/fluxcd/flagger) - Progressive delivery operator: canary, A/B testing, blue-green. - [argoproj/argo-rollouts](https://github.com/argoproj/argo-rollouts) - Progressive delivery for Kubernetes with canary analysis. - [shipwright-io/build](https://github.com/shipwright-io/build) - Framework for building container images on Kubernetes. - [earthly/earthly](https://github.com/earthly/earthly) - Repeatable builds with familiar Dockerfile-like syntax. - [argoproj-labs/argocd-image-updater](https://github.com/argoproj-labs/argocd-image-updater) - Automatic container image updates for Argo CD applications. - [crossplane/crossplane](https://github.com/crossplane/crossplane) - Cloud-native control plane for infrastructure as code. - [werf/werf](https://github.com/werf/werf) - Efficient, consistent software delivery to Kubernetes. - [GoogleContainerTools/skaffold](https://github.com/GoogleContainerTools/skaffold) - Easy and repeatable Kubernetes development workflows. - [tilt-dev/tilt](https://github.com/tilt-dev/tilt) - Define your Kubernetes dev environment as code. - [okteto/okteto](https://github.com/okteto/okteto) - Develop your applications directly in your Kubernetes cluster. - [devspace-sh/devspace](https://github.com/devspace-sh/devspace) - Develop and deploy software directly inside Kubernetes. - [garden-io/garden](https://github.com/garden-io/garden) - Spin up production-like environments for dev, test, and CI. ## Data, Datasets & Synthetic Data *Data curation, labeling, synthetic generation and datasets.* **Datasets** - [mlabonne/llm-datasets](https://github.com/mlabonne/llm-datasets) - Curated list of datasets and tools for post-training. - [huggingface/datasets](https://github.com/huggingface/datasets) - The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools. - [tensorflow/datasets](https://github.com/tensorflow/datasets) - TFDS is a collection of datasets ready to use with TensorFlow, Jax. - [mlcommons/croissant](https://github.com/mlcommons/croissant) - Metadata format making ML datasets discoverable. - [huggingface/dataset-viewer](https://github.com/huggingface/dataset-viewer) - Web app for exploring Hugging Face datasets. - [togethercomputer/RedPajama-Data](https://github.com/togethercomputer/RedPajama-Data) - Open dataset replicating LLaMA training data. - [facebookresearch/MetaCLIP](https://github.com/facebookresearch/MetaCLIP) - Data curation method behind Meta's CLIP models. **Labeling & annotation** - [wkentaro/labelme](https://github.com/wkentaro/labelme) - Image annotation with polygons and AI-assisted labeling. - [voxel51/fiftyone](https://github.com/voxel51/fiftyone) - Curate datasets and evaluate visual AI models. - [CVHub520/X-AnyLabeling](https://github.com/CVHub520/X-AnyLabeling) - Desktop data labeling tool with built-in AI-assisted annotation models. - [doccano/doccano](https://github.com/doccano/doccano) - Open source annotation tool for machine learning practitioners. - [HumanSignal/label-studio](https://github.com/HumanSignal/label-studio) - Label Studio is a multi-type data labeling and annotation tool with standardized output format. - [cvat-ai/cvat](https://github.com/cvat-ai/cvat) - Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual. - [snorkel-team/snorkel](https://github.com/snorkel-team/snorkel) - Programmatic labeling for training data without hand labels. - [argilla-io/argilla](https://github.com/argilla-io/argilla) - Collaboration workspace for building high-quality AI datasets. - [davidjurgens/potato](https://github.com/davidjurgens/potato) - Portable annotation tool for collecting LLM and NLP training data. **Synthetic data** - [sdv-dev/SDV](https://github.com/sdv-dev/SDV) - Synthetic data generation for tabular data. - [Data-Centric-AI-Community/fg-data-synthetic](https://github.com/Data-Centric-AI-Community/fg-data-synthetic) - Synthetic data generators for tabular and time-series data. - [argilla-io/distilabel](https://github.com/argilla-io/distilabel) - Framework for synthetic data and AI feedback pipelines. - [Red-Hat-AI-Innovation-Team/sdg_hub](https://github.com/Red-Hat-AI-Innovation-Team/sdg_hub) - Building blocks for synthetic data generation workflows. - [mostly-ai/mostlyai](https://github.com/mostly-ai/mostlyai) - Synthetic data generation with privacy guarantees. - [joke2k/faker](https://github.com/joke2k/faker) - Library for generating realistic fake data in Python. - [ConardLi/easy-dataset](https://github.com/ConardLi/easy-dataset) - Tool for building datasets for LLM fine-tuning, RAG and evaluation. - [NVIDIA-NeMo/DataDesigner](https://github.com/NVIDIA-NeMo/DataDesigner) - Generate high-quality synthetic datasets from scratch or seed data. - [rajapalagummi/SDG-Synthetic-Data-Factory](https://github.com/rajapalagummi/SDG-Synthetic-Data-Factory) - Python library generating synthetic LLM training and eval data. - [Lexsi-Labs/CuratorKIT](https://github.com/Lexsi-Labs/CuratorKIT) - Data curation and synthetic data generation for LLM post-training. **Data quality & validation** - [cleanlab/cleanlab](https://github.com/cleanlab/cleanlab) - Cleanlab's open-source library is the standard data-centric AI package for data quality and. - [awslabs/deequ](https://github.com/awslabs/deequ) - Data quality verification on Spark using declarative checks. - [elementary-data/elementary](https://github.com/elementary-data/elementary) - dbt-native data observability for data and analytics engineers. - [unionai-oss/pandera](https://github.com/unionai-oss/pandera) - Lightweight statistical data testing for dataframes. - [sodadata/soda-core](https://github.com/sodadata/soda-core) - Data contracts engine for the modern data stack. - [deepchecks/deepchecks](https://github.com/deepchecks/deepchecks) - Continuous validation tests for ML models and data. **Data processing** - [Eventual-Inc/Daft](https://github.com/Eventual-Inc/Daft) - Distributed data engine for processing images, audio and other multimodal data. - [NVIDIA-NeMo/Curator](https://github.com/NVIDIA-NeMo/Curator) - Data curation toolkit for LLM pretraining pipelines. - [datajuicer/data-juicer](https://github.com/datajuicer/data-juicer) - Data processing system for LLM pretraining data. - [dlt-hub/dlt](https://github.com/dlt-hub/dlt) - Python library for building data pipelines without boilerplate. - [tobymao/sqlglot](https://github.com/tobymao/sqlglot) - SQL parser, transpiler and optimizer in pure Python. - [ibis-project/ibis](https://github.com/ibis-project/ibis) - Python dataframe API for analytics across backends. - [dask/dask](https://github.com/dask/dask) - Parallel computing library scaling Python data workflows. - [lance-format/lance](https://github.com/lance-format/lance) - Columnar data format for ML with fast random access. - [apache/iceberg](https://github.com/apache/iceberg) - High-performance table format for large analytic datasets. - [delta-io/delta](https://github.com/delta-io/delta) - Open-source storage layer bringing ACID to data lakes. - [narwhals-dev/narwhals](https://github.com/narwhals-dev/narwhals) - Compatibility layer between dataframe libraries. - [airbytehq/airbyte](https://github.com/airbytehq/airbyte) - Open-source ELT platform with 600+ data connectors. - [Lightning-AI/litData](https://github.com/Lightning-AI/litData) - Streaming data loading optimized for model training. - [mosaicml/streaming](https://github.com/mosaicml/streaming) - Streaming datasets for fast, multi-node training. - [webdataset/webdataset](https://github.com/webdataset/webdataset) - Efficient I/O format for large deep learning datasets. - [NVIDIA/DALI](https://github.com/NVIDIA/DALI) - GPU-accelerated data loading and augmentation library. - [duckdb/duckdb](https://github.com/duckdb/duckdb) - In-process analytical SQL engine; query Parquet and CSV at speed. - [pola-rs/polars](https://github.com/pola-rs/polars) - Blazing-fast DataFrame library for Python and Rust. - [apache/datafusion](https://github.com/apache/datafusion) - Extensible query engine for building data pipelines in Rust. - [datachain-ai/datachain](https://github.com/datachain-ai/datachain) - Typed, versioned datasets over unstructured data in cloud storage. **Data versioning, catalogs & feature stores** - [treeverse/dvc](https://github.com/treeverse/dvc) - Data version control for ML: version datasets and models like code. - [datahub-project/datahub](https://github.com/datahub-project/datahub) - Metadata platform for data discovery, observability, and governance. - [quiltdata/quilt](https://github.com/quiltdata/quilt) - Data versioning and packaging for S3-backed datasets. - [feast-dev/feast](https://github.com/feast-dev/feast) - The Open Source Feature Store for AI/ML. - [quintoandar/butterfree](https://github.com/quintoandar/butterfree) - Build feature stores on Spark with declarative definitions. - [treeverse/lakeFS](https://github.com/treeverse/lakeFS) - Git-like data version control for your data lake. - [OpenLineage/OpenLineage](https://github.com/OpenLineage/OpenLineage) - Open standard for data and ML pipeline lineage metadata. - [MarquezProject/marquez](https://github.com/MarquezProject/marquez) - Collect, aggregate, and visualize data ecosystem metadata. **NLP libraries** - [explosion/spaCy](https://github.com/explosion/spaCy) - Industrial-strength NLP pipelines in Python. - [QData/TextAttack](https://github.com/QData/TextAttack) - Framework for adversarial attacks on NLP models. - [flairNLP/flair](https://github.com/flairNLP/flair) - NLP framework with state-of-the-art sequence labeling. - [stanfordnlp/stanza](https://github.com/stanfordnlp/stanza) - Stanford's multilingual NLP toolkit with neural pipelines. - [huggingface/setfit](https://github.com/huggingface/setfit) - Few-shot text classification with sentence transformers. - [languagetool-org/languagetool](https://github.com/languagetool-org/languagetool) - Grammar and style checker for 30+ languages. - [MaartenGr/BERTopic](https://github.com/MaartenGr/BERTopic) - Leveraging BERT and c-TF-IDF to create easily interpretable topics. **BI & analytics** - [vega/altair](https://github.com/vega/altair) - Declarative statistical visualization in Python. - [plotly/plotly.py](https://github.com/plotly/plotly.py) - Interactive charts and dashboards in Python. - [metabase/metabase](https://github.com/metabase/metabase) - Open-source BI dashboards anyone can use. - [apache/superset](https://github.com/apache/superset) - Data exploration and visualization platform at scale. - [evidence-dev/evidence](https://github.com/evidence-dev/evidence) - Code-based BI with SQL and Markdown. - [lightdash/lightdash](https://github.com/lightdash/lightdash) - BI on dbt models with version-controlled metrics. - [PostHog/posthog](https://github.com/PostHog/posthog) - Product analytics and feature flags, self-hostable. **Graph analysis libraries** - [dmlc/dgl](https://github.com/dmlc/dgl) - Deep learning on graphs at scale. - [networkx/networkx](https://github.com/networkx/networkx) - Graph analysis and algorithms in Python. - [pyg-team/pytorch_geometric](https://github.com/pyg-team/pytorch_geometric) - Graph neural networks in PyTorch. - [igraph/igraph](https://github.com/igraph/igraph) - Fast graph library for R, Python and C. - [networkit/networkit](https://github.com/networkit/networkit) - High-performance network analysis toolkit. - [gephi/gephi](https://github.com/gephi/gephi) - Interactive graph exploration and visualization. - [rapidsai/cugraph](https://github.com/rapidsai/cugraph) - GPU-accelerated graph analytics. - [Qiskit/rustworkx](https://github.com/Qiskit/rustworkx) - High-performance graph library in Rust. - [petgraph/petgraph](https://github.com/petgraph/petgraph) - Graph data structures for Rust. - [graspologic-org/graspologic](https://github.com/graspologic-org/graspologic) - Statistical analysis of network data. ## Domain Agents: Finance, Healthcare, Research & More *Vertical agents and assistants for specific industries.* **Finance** - [TauricResearch/TradingAgents](https://github.com/TauricResearch/TradingAgents) - Multi-agent LLM financial-trading framework; a good study in role-specialized agents. - [virattt/dexter](https://github.com/virattt/dexter) - An autonomous agent for deep financial research. - [OpenBB-finance/OpenBB](https://github.com/OpenBB-finance/OpenBB) - Open Data Platform for analysts, quants and AI agents. - [microsoft/qlib](https://github.com/microsoft/qlib) - Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant. - [virattt/ai-hedge-fund](https://github.com/virattt/ai-hedge-fund) - Multi-agent hedge fund: analyst, researcher, risk, and portfolio manager agents. - [AI4Finance-Foundation/FinGPT](https://github.com/AI4Finance-Foundation/FinGPT) - Open-source finance LLMs and agents for financial data analysis. - [AI4Finance-Foundation/FinRL-Trading](https://github.com/AI4Finance-Foundation/FinRL-Trading) - AI-native modular trading infrastructure built on the FinRL-X stack. - [AI4Finance-Foundation/FinRL-Meta](https://github.com/AI4Finance-Foundation/FinRL-Meta) - Market environments and benchmarks for financial reinforcement learning. - [AI4Finance-Foundation/FinRobot](https://github.com/AI4Finance-Foundation/FinRobot) - AI agent platform for financial analysis and decision support. - [HKUDS/AI-Trader](https://github.com/HKUDS/AI-Trader) - Agent-native trading platform with collective intelligence. - [huygiatrng/AlpacaTradingAgent](https://github.com/huygiatrng/AlpacaTradingAgent) - Multi-agent LLM trading on the Alpaca platform. - [HKUDS/Vibe-Trading](https://github.com/HKUDS/Vibe-Trading) - Personal trading agent with multi-agent teams. - [Kahtaf/OpenCandle](https://github.com/Kahtaf/OpenCandle) - Financial investigator agent for deep market research. - [Open-Finance-Lab/AgenticTrading](https://github.com/Open-Finance-Lab/AgenticTrading) - LLM trading-agent research and paper-trading platform. - [YichengYang-Ethan/oracle3](https://github.com/YichengYang-Ethan/oracle3) - Prediction-market trading engine with Wang Transform pricing. - [ValueCell-ai/valuecell](https://github.com/ValueCell-ai/valuecell) - Community multi-agent platform for financial applications. - [OpenByteInc/QuantDinger](https://github.com/OpenByteInc/QuantDinger) - Self-hosted AI trading platform with agent strategies and backtesting. - [The-Swarm-Corporation/AutoHedge](https://github.com/The-Swarm-Corporation/AutoHedge) - Autonomous hedge fund built from collaborating trading agents. - [AI4Finance-Foundation/FinRL](https://github.com/AI4Finance-Foundation/FinRL) - Deep reinforcement learning library for financial trading. - [shy3130/tick-stock-panel](https://github.com/shy3130/tick-stock-panel) - Self-hosted A-share stock screening, monitoring and backtesting with LLM analysis. - [alsk1992/CloddsBot](https://github.com/alsk1992/CloddsBot) - Autonomous AI trading agent across prediction and crypto markets. **Healthcare & life sciences** - [Project-MONAI/MONAI](https://github.com/Project-MONAI/MONAI) - AI Toolkit for Healthcare Imaging. - [shibing624/MedicalGPT](https://github.com/shibing624/MedicalGPT) - MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。. - [awslabs/hcls-agent-skills](https://github.com/awslabs/hcls-agent-skills) - 42 healthcare and life-sciences agent skills for AI scientists. - [Ediebah/clinical-insight-agent](https://github.com/Ediebah/clinical-insight-agent) - AI data-science agent over a dbt healthcare warehouse, CI-enforced. - [Azure-Samples/healthcare-agent-orchestrator](https://github.com/Azure-Samples/healthcare-agent-orchestrator) - Multi-agent healthcare accelerator focused on cancer care. - [Genentech/CLADD](https://github.com/Genentech/CLADD) - RAG-enhanced collaborative agents for drug discovery. - [jackysiupuichung/virtual-biotech-scientist](https://github.com/jackysiupuichung/virtual-biotech-scientist) - Closed-loop multi-agent AI scientist for drug-target discovery. - [jinlab-imvr/MedAgent-Pro](https://github.com/jinlab-imvr/MedAgent-Pro) - Evidence-based multimodal medical diagnosis (ICLR 2026). - [K-Dense-AI/drug-discovery-agent-skills](https://github.com/K-Dense-AI/drug-discovery-agent-skills) - Bundle of 37 drug-discovery agent skills. - [KaiChenNJ/MDTeamGPT](https://github.com/KaiChenNJ/MDTeamGPT) - Self-evolving multi-agent multidisciplinary medical consultations. - [MAXNORM8650/MedAgentSim](https://github.com/MAXNORM8650/MedAgentSim) - Self-evolving multi-agent clinical simulations (MICCAI 2025). - [monk1337/Bio-Autoresearch](https://github.com/monk1337/Bio-Autoresearch) - Karpathy-style autonomous loop for rare disease drug discovery. - [Open-Medica/open-medical-skills](https://github.com/Open-Medica/open-medical-skills) - Marketplace of 700+ physician-reviewed medical AI skills. - [StanfordBDHG/HealthGPT](https://github.com/StanfordBDHG/HealthGPT) - Query Apple Health data with natural language. - [The-Swarm-Corporation/MedicalCoderSwarm](https://github.com/The-Swarm-Corporation/MedicalCoderSwarm) - Multi-agent diagnosis and ICD-10 medical coding. - [tokisaka23/RxLM-Med-Agent](https://github.com/tokisaka23/RxLM-Med-Agent) - Multimodal clinical diagnostic agent with System 2 reasoning. - [wu-yc/LabClaw](https://github.com/wu-yc/LabClaw) - 240-skill biomedical AI agent skill library. - [Wangyixinxin/MMedAgent](https://github.com/Wangyixinxin/MMedAgent) - Multimodal medical tool-using agent (EMNLP 2024). - [wzn99/DrugPilot](https://github.com/wzn99/DrugPilot) - LLM agent framework for drug discovery. - [yhzhu99/HealthFlow](https://github.com/yhzhu99/HealthFlow) - Self-evolving multi-agent EHR analysis (npj Digital Medicine 2026). - [zaixizhang/STELLA](https://github.com/zaixizhang/STELLA) - Self-evolving LLM agent for biomedical research. - [maziyarpanahi/openmed](https://github.com/maziyarpanahi/openmed) - Local-first healthcare AI with clinical NER and PII de-identification. **Research & science** - [stanford-oval/storm](https://github.com/stanford-oval/storm) - An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. - [HKUDS/DeepTutor](https://github.com/HKUDS/DeepTutor) - DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/. - [SakanaAI/AI-Scientist](https://github.com/SakanaAI/AI-Scientist) - The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery ‍. - [Future-House/aviary](https://github.com/Future-House/aviary) - Language agent gym for scientific research tasks. - [Future-House/paper-qa](https://github.com/Future-House/paper-qa) - Agentic RAG over scientific literature with cited answers. - [Future-House/robin](https://github.com/Future-House/robin) - Multi-agent system automating scientific discovery. - [HKUDS/AI-Researcher](https://github.com/HKUDS/AI-Researcher) - Autonomous scientific innovation platform (NeurIPS 2025). - [Imbad0202/academic-research-skills](https://github.com/Imbad0202/academic-research-skills) - Claude Code skill suite covering the full academic research pipeline. - [karpathy/autoresearch](https://github.com/karpathy/autoresearch) - AI agents autonomously running research on single-GPU LLM training. - [mims-harvard/ToolUniverse](https://github.com/mims-harvard/ToolUniverse) - Ecosystem for AI scientists with 1000+ tools. - [SakanaAI/AI-Scientist-v2](https://github.com/SakanaAI/AI-Scientist-v2) - End-to-end autonomous scientific discovery via agentic tree search. - [UniPat-AI/UniScientist](https://github.com/UniPat-AI/UniScientist) - Agentic research loop across 50+ disciplines. - [ziatdinovmax/SciLink](https://github.com/ziatdinovmax/SciLink) - LLM agents for scientific research automation. - [CYC2002tommy/Deep-Research-Agent](https://github.com/CYC2002tommy/Deep-Research-Agent) - 7-phase autonomous academic research pipeline skill with DOI verification. - [THU-MAIC/OpenMAIC](https://github.com/THU-MAIC/OpenMAIC) - Multi-agent interactive classroom for immersive learning. **Deep research agents** - [assafelovic/gpt-researcher](https://github.com/assafelovic/gpt-researcher) - An autonomous agent that conducts deep research on any data using any LLM providers. - [jina-ai/node-DeepResearch](https://github.com/jina-ai/node-DeepResearch) - Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget). - [tarun7r/deep-research-agent](https://github.com/tarun7r/deep-research-agent) - Multi-agent research system with credibility-scored reports. - [LearningCircuit/local-deep-research](https://github.com/LearningCircuit/local-deep-research) - Local deep research assistant supporting self-hosted LLMs and many search sources. - [MiroMindAI/MiroThinker](https://github.com/MiroMindAI/MiroThinker) - Open-source deep research agent for complex research and prediction tasks. - [Alibaba-NLP/DeepResearch](https://github.com/Alibaba-NLP/DeepResearch) - Tongyi Deep Research, an open-source web research agent. **Data analysis agents** - [sinaptik-ai/pandas-ai](https://github.com/sinaptik-ai/pandas-ai) - Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG. - [eosphoros-ai/DB-GPT](https://github.com/eosphoros-ai/DB-GPT) - Open-source agentic AI data assistant for the next generation of AI + Data products. - [business-science/ai-data-science-team](https://github.com/business-science/ai-data-science-team) - Team of AI agents that performs data science and analytics tasks. **Legal** - [dnzengou/legal-ai-agent](https://github.com/dnzengou/legal-ai-agent) - Contract review API with server-validated citations. - [lowtidebuild/contract-review](https://github.com/lowtidebuild/contract-review) - Contract review agent pipeline producing redlined DOCX. ## Assistants, Copilots & Personal Agents *General-purpose assistants you run yourself.* **Personal agents** - [Fosowl/agenticSeek](https://github.com/Fosowl/agenticSeek) - Fully local autonomous AI agent; no APIs, runs on your machine. - [HKUDS/nanobot](https://github.com/HKUDS/nanobot) - Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI. - [leon-ai/leon](https://github.com/leon-ai/leon) - Open-source personal assistant you self-host. - [agent0ai/agent-zero](https://github.com/agent0ai/agent-zero) - Personal agentic framework with computer-use and multi-agent support. - [agentscope-ai/QwenPaw](https://github.com/agentscope-ai/QwenPaw) - Personal AI assistant workstation deployable locally or in the cloud. - [damianvtran/local-operator](https://github.com/damianvtran/local-operator) - Local AI agent CLI that runs tasks on your machine. - [dcSpark/shinkai-local-ai-agents](https://github.com/dcSpark/shinkai-local-ai-agents) - Local-first AI agent operating system with encrypted data. - [kortix-ai/suna](https://github.com/kortix-ai/suna) - Open-source generalist AI agent for complex tasks. - [felinics/Memoh](https://github.com/felinics/Memoh) - Multi-agent platform giving every agent its own computer and memory. - [MarlBurroW/hivekeep](https://github.com/MarlBurroW/hivekeep) - Self-hosted platform running a team of persistent personal AI agents. - [Panniantong/Agent-Reach](https://github.com/Panniantong/Agent-Reach) - Agent internet capability layer connecting AI agents to live web services. - [tinyhumansai/openhuman](https://github.com/tinyhumansai/openhuman) - Local-first personal AI agent harness with persistent memory. - [RightNow-AI/openfang](https://github.com/RightNow-AI/openfang) - Rust-built open-source Agent OS with autonomous scheduled Hands. - [rootazero/Aleph](https://github.com/rootazero/Aleph) - Self-hosted personal AI assistant with a native desktop app and messaging channels. - [CharlesHAO77/EveryBuddy](https://github.com/CharlesHAO77/EveryBuddy) - Local-first desktop personal agent with personas, cron schedules, and MCP skills. - [utopusc/livinity-io](https://github.com/utopusc/livinity-io) - Self-hostable "Cloud AI Computer" with an AI assistant managing apps and files. - [vaenyxai/core](https://github.com/vaenyxai/core) - Self-hosted home AI agent with local memory, tasks, and your choice of model backend. - [BugraAkdemir/memo](https://github.com/BugraAkdemir/memo) - Local-first assistant with real memory, agent tool use, and proactive habits (Go + Flutter). - [missarii/Web-Pilot](https://github.com/missarii/Web-Pilot) - Local-first AI browser agent that browses, extracts, and downloads on your machine. - [ownpilot/OwnPilot](https://github.com/ownpilot/OwnPilot) - Privacy-first personal AI assistant platform with autonomous agents and multi-provider support. - [NeOMakinG/desktop-ai-dashboard](https://github.com/NeOMakinG/desktop-ai-dashboard) - Open-source Tauri personal AI workspace with persistent chats and schedules. - [0x-copilot-dev/0x-copilot](https://github.com/0x-copilot-dev/0x-copilot) - Local BYOK AI copilot; Electron desktop runs the whole stack on your machine. - [ItsNotAILABS/pocket](https://github.com/ItsNotAILABS/pocket) - Host-local co-pilot runtime that opens desktop apps and the web on your PC. - [nolanmak/Jarvis](https://github.com/nolanmak/Jarvis) - Self-hosted assistant daemon triaging email and DMs with human-approval before sending. - [opencrew-ai/oncellclaw](https://github.com/opencrew-ai/oncellclaw) - Personal Claude assistant in durable cloud cells; isolated, crash-proof, wakes on message. - [PeterGreenAppliedAI/Invarail](https://github.com/PeterGreenAppliedAI/Invarail) - Local-model-first agent framework with router/specialist architecture and web console. - [abacusai/abacusai-bot](https://github.com/abacusai/abacusai-bot) - Open-source personal agents for WhatsApp, Telegram, Discord, with scheduled routines. - [Vexillon-ai/MIRA](https://github.com/Vexillon-ai/MIRA) - Self-hosted personal AI agent with channels, voice, cron automations, and memory (Rust core). - [netease-youdao/LobsterAI](https://github.com/netease-youdao/LobsterAI) - Desktop AI agent for everyday work such as data analysis and documents. - [ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) - Desktop AI assistant connecting multiple models and tools to personal workflows. - [jayamitkatariya/personacli](https://github.com/jayamitkatariya/personacli) - Local-first personal workspace with an AI that knows your files. - [Graphene-Lab/AgentBridge](https://github.com/Graphene-Lab/AgentBridge) - Autonomous personal AI assistant for delegating everyday tasks. - [NickMonrad/kernel-ai-assistant](https://github.com/NickMonrad/kernel-ai-assistant) - Local-first Android assistant with on-device inference and semantic memory. - [samosa-ai-com/Gotcha](https://github.com/samosa-ai-com/Gotcha) - Fully on-device Android AI copilot turning natural language into device actions. - [spinabot/brigade](https://github.com/spinabot/brigade) - Personal AI agent runtime with enterprise-grade controls. - [TencentCloud/Octop](https://github.com/TencentCloud/Octop) - Self-hosted multi-user, multi-agent AI assistant. - [CopilotKit/OpenDots](https://github.com/CopilotKit/OpenDots) - Always-on AI coworkers that work across text, calls and Slack. **Second brain & knowledge** - [khoj-ai/khoj](https://github.com/khoj-ai/khoj) - Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents. - [logancyang/obsidian-copilot](https://github.com/logancyang/obsidian-copilot) - THE Copilot in Obsidian. - [mindsdb/mindshub](https://github.com/mindsdb/mindshub) - Unified workspace where open-source AI models automate real work. **CLI assistants** - [simonw/llm](https://github.com/simonw/llm) - CLI and Python library for talking to any LLM, with plugins. - [sigoden/aichat](https://github.com/sigoden/aichat) - All-in-one LLM CLI: shell assistant, RAG, agents. - [TheR1D/shell_gpt](https://github.com/TheR1D/shell_gpt) - Command-line productivity tool powered by LLMs. - [kriserickson/ai-cli](https://github.com/kriserickson/ai-cli) - CLI that converts natural-language requests into shell commands via LLMs. **Voice assistants & companions** - [BasedHardware/omi](https://github.com/BasedHardware/omi) - Open-source AI wearable companion with full software stack. - [justinprasetyo/jarvis](https://github.com/justinprasetyo/jarvis) - Voice-activated assistant on local Ollama with wake word and self-managed memory. - [Angga-29/jarvis-ai-assistant](https://github.com/Angga-29/jarvis-ai-assistant) - Fully local Jarvis with voice, screen vision, web search, and a desktop orb HUD. - [OpenWhispr/openwhispr](https://github.com/OpenWhispr/openwhispr) - Privacy-first voice-to-text dictation app with local Whisper and BYOK cloud models. - [yashwanth-1729/Jarvis-V2](https://github.com/yashwanth-1729/Jarvis-V2) - Voice-first personal command center with tasks, reminders, and persistent memory. - [hellotaotao/saytype](https://github.com/hellotaotao/saytype) - Fast Tauri tray app for hold-to-record voice dictation on Mac, Windows, and Linux. - [moeru-ai/airi](https://github.com/moeru-ai/airi) - Self-hosted AI companion with voice, avatars and game-playing abilities. - [Open-LLM-VTuber/Open-LLM-VTuber](https://github.com/Open-LLM-VTuber/Open-LLM-VTuber) - Hands-free voice chat with any LLM through a Live2D avatar. **Task-specific assistants** - [career-ops-hq/career-ops](https://github.com/career-ops-hq/career-ops) - AI job-search agent that scores listings, tailors CVs, tracks applications. - [hugohe3/ppt-master](https://github.com/hugohe3/ppt-master) - Agentic workflow that generates fully editable PowerPoint presentations. - [Mail-0/Zero](https://github.com/Mail-0/Zero) - Open-source AI-driven email client with AI agents. - [mikeljc-dev/docsera](https://github.com/mikeljc-dev/docsera) - Self-hosted docs AI chat widget with citations, works with local models via Ollama. - [yikart/AiToEarn](https://github.com/yikart/AiToEarn) - AI content creation and auto-publishing across social platforms. - [KKKKhazix/AIHOT](https://github.com/KKKKhazix/AIHOT) - Framework for a site that finds trending topics and writes daily AI reports. - [melgarafael/DeskcommCRM](https://github.com/melgarafael/DeskcommCRM) - Self-hosted CRM with built-in AI sales agents and WhatsApp. ## Interpretability, Alignment & Research *Understanding and steering model behaviour.* **Interpretability** - [shap/shap](https://github.com/shap/shap) - A game theoretic approach to explain the output of any machine learning model. - [TransformerLensOrg/TransformerLens](https://github.com/TransformerLensOrg/TransformerLens) - A library for mechanistic interpretability of GPT-style language models. - [decoderesearch/SAELens](https://github.com/decoderesearch/SAELens) - Train and analyze sparse autoencoders on language models. - [openai/transformer-debugger](https://github.com/openai/transformer-debugger) - Tool for investigating specific behaviors of small language models. - [ndif-team/nnsight](https://github.com/ndif-team/nnsight) - Interpret and manipulate the internals of deep models. - [adamkarvonen/SAEBench](https://github.com/adamkarvonen/SAEBench) - Benchmark suite for evaluating sparse autoencoders on language models. - [EleutherAI/sparsify](https://github.com/EleutherAI/sparsify) - Sparse autoencoder training library for interpretability research. - [hijohnnylin/neuronpedia](https://github.com/hijohnnylin/neuronpedia) - Platform for exploring and interpreting neuron activations. - [jessevig/bertviz](https://github.com/jessevig/bertviz) - Attention-head visualization tool for transformer models. - [inseq-team/inseq](https://github.com/inseq-team/inseq) - Attribution and interpretability toolkit for sequence models. - [meta-pytorch/captum](https://github.com/meta-pytorch/captum) - Model interpretability and attribution library for PyTorch. - [PAIR-code/lit](https://github.com/PAIR-code/lit) - Learning Interpretability Tool for visual model analysis. - [stanfordnlp/pyvene](https://github.com/stanfordnlp/pyvene) - Causal interpretability toolkit for neural network internals. - [TransformerLensOrg/CircuitsVis](https://github.com/TransformerLensOrg/CircuitsVis) - Interactive visualizations of transformer circuits. - [constsynth/loupe](https://github.com/constsynth/loupe) - Research library for SAE-centered interpretability with feature dashboards. - [gwenlake/nanoSAE](https://github.com/gwenlake/nanoSAE) - Small, fast library for training sparse autoencoders on text-model activations. - [ZaheerAbbasOrakzai/transformer-internals-lab](https://github.com/ZaheerAbbasOrakzai/transformer-internals-lab) - Interactive suite for attention maps, head ablation, and logit-lens tracing. - [mi-for-the-rust-of-us/candle-mi](https://github.com/mi-for-the-rust-of-us/candle-mi) - Rust toolkit for mechanistic interpretability on the candle ML framework. - [jacobgil/pytorch-grad-cam](https://github.com/jacobgil/pytorch-grad-cam) - Explainability methods for computer vision models, including CNNs and ViTs. **Steering & model editing** - [stanfordnlp/pyreft](https://github.com/stanfordnlp/pyreft) - Python library for representation fine-tuning of LLMs. - [zjunlp/EasyEdit](https://github.com/zjunlp/EasyEdit) - Easy-to-use knowledge editing framework for LLMs. - [binhu02/repsteer](https://github.com/binhu02/repsteer) - Python toolkit for representation engineering and activation steering. - [levashi/reprobe](https://github.com/levashi/reprobe) - Memory-efficient linear probes and activation steering for safety research. - [codemage05/llm-truth-steering](https://github.com/codemage05/llm-truth-steering) - Linear probing and activation steering to detect truthful LLM representations. - [graphs4ai/LLM-Lobotomy](https://github.com/graphs4ai/LLM-Lobotomy) - Framework for analyzing and steering political stance in LLM activations. - [smgpulse007/llm-steering](https://github.com/smgpulse007/llm-steering) - Local-first starter kit for activation steering on small language models. - [p-e-w/heretic](https://github.com/p-e-w/heretic) - Automatic censorship removal for language models through abliteration. **RL & post-training** - [huggingface/trl](https://github.com/huggingface/trl) - Train transformer language models with reinforcement learning. - [modelscope/ms-swift](https://github.com/modelscope/ms-swift) - Scalable fine-tuning and deployment framework for large models. - [NVIDIA-NeMo/RL](https://github.com/NVIDIA-NeMo/RL) - Scalable RL post-training library for large language models. - [OpenRLHF/OpenRLHF](https://github.com/OpenRLHF/OpenRLHF) - Open-source RLHF framework for training aligned LLMs. - [PKU-Alignment/align-anything](https://github.com/PKU-Alignment/align-anything) - Alignment framework for any modality with human feedback. - [PrimeIntellect-ai/prime-rl](https://github.com/PrimeIntellect-ai/prime-rl) - Distributed RL infrastructure for training reasoning models. - [verl-project/verl](https://github.com/verl-project/verl) - Hybrid RL training framework for large language models. - [OpenPipe/ART](https://github.com/OpenPipe/ART) - Train multi-step agents for real-world tasks with reinforcement learning. - [oumi-ai/oumi](https://github.com/oumi-ai/oumi) - Fine-tune, evaluate and deploy open models with SFT and RL. - [transformerlab/transformerlab-app](https://github.com/transformerlab/transformerlab-app) - Open source research environment for training and evaluating LLMs. - [alibaba/ROLL](https://github.com/alibaba/ROLL) - Scaling library for reinforcement learning with large language models. - [langfengQ/verl-agent](https://github.com/langfengQ/verl-agent) - Extension of veRL for training LLM agents with RL. - [Gen-Verse/OpenClaw-RL](https://github.com/Gen-Verse/OpenClaw-RL) - Train any agent with reinforcement learning from conversations. - [natolambert/rlhf-book](https://github.com/natolambert/rlhf-book) - Textbook on reinforcement learning from human feedback. **Alignment** - [PKU-Alignment/safe-rlhf](https://github.com/PKU-Alignment/safe-rlhf) - Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback. - [AI45Lab/OpenART](https://github.com/AI45Lab/OpenART) - Open agentic red teaming toolkit for AI safety evaluation. - [AlignmentResearch/defense-in-depth-demo](https://github.com/AlignmentResearch/defense-in-depth-demo) - Accompanying code and demo for the Defense in Depth safety paper. - [AlignmentResearch/safety-gap](https://github.com/AlignmentResearch/safety-gap) - Attacks and evals measuring the safety gap between mitigated and helpful-only LMs. - [AlignmentResearch/obfuscation-atlas](https://github.com/AlignmentResearch/obfuscation-atlas) - Maps where honesty emerges in RLVR using deception probes. - [AlignmentResearch/deception-evasion-honesty](https://github.com/AlignmentResearch/deception-evasion-honesty) - Code for preference learning with lie detectors inducing honesty or evasion. - [AlignmentResearch/puc](https://github.com/AlignmentResearch/puc) - Harness for studying persuasion-under-control by misaligned AI assistants. - [AlignmentResearch/AttemptPersuadeEval](https://github.com/AlignmentResearch/AttemptPersuadeEval) - Eval measuring LLM attempts to persuade across benign to harmful topics. - [AlignmentResearch/vlmrm](https://github.com/AlignmentResearch/vlmrm) - Uses vision-language models as zero-shot reward models for reinforcement learning. **Research** - [deepseek-ai/Engram](https://github.com/deepseek-ai/Engram) - Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models. - [ShishirPatil/gorilla](https://github.com/ShishirPatil/gorilla) - Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls). - [dair-ai/AI-Papers-of-the-Week](https://github.com/dair-ai/AI-Papers-of-the-Week) - Highlighting the top ML papers every week. - [karpathy/nanoGPT](https://github.com/karpathy/nanoGPT) - Minimal, hackable GPT training codebase for LLM training research. - [state-spaces/mamba](https://github.com/state-spaces/mamba) - Selective state-space sequence models; the leading Transformer alternative. - [google-research/google-research](https://github.com/google-research/google-research) - Code for Google Research papers. - [NVIDIA/cosmos](https://github.com/NVIDIA/cosmos) - NVIDIA's open world models, datasets and tools for physical AI. ## Developer Tools & Utilities *Useful things that don't fit a layer.* **Developer utilities** - [CapSoftware/Cap](https://github.com/CapSoftware/Cap) - Open-source screen recording for demos and bug reports. - [OtterMind/Chat2DB](https://github.com/OtterMind/Chat2DB) - Chat2DB is a free, cross-platform, local-first database client and SQL workspace for developers. - [astral-sh/uv](https://github.com/astral-sh/uv) - Extremely fast Python package and project manager written in Rust. - [jdx/mise](https://github.com/jdx/mise) - Dev-tool version manager, env vars, and task runner in one binary. - [pydantic/pydantic](https://github.com/pydantic/pydantic) - Data validation in Python using type hints; core of most agent frameworks. - [jd/tenacity](https://github.com/jd/tenacity) - Python retry library with exponential backoff for flaky LLM API calls. - [hynek/stamina](https://github.com/hynek/stamina) - Production-grade retry library for Python async and sync workloads. - [hoppscotch/hoppscotch](https://github.com/hoppscotch/hoppscotch) - Open-source API development and testing ecosystem for web, desktop, and CLI. - [usebruno/bruno](https://github.com/usebruno/bruno) - Open-source API IDE for exploring and testing APIs, a Postman alternative. **Git & commit tools** - [lemon956/aicommit](https://github.com/lemon956/aicommit) - AI-powered git commit message generator. - [owayo/git-smart-commit](https://github.com/owayo/git-smart-commit) - Smart commit messages via AI coding agents with fallback. - [qzhao19/auto-commit](https://github.com/qzhao19/auto-commit) - AI commit message generator with conventional commits. - [di-sukharev/opencommit](https://github.com/di-sukharev/opencommit) - Generate commit messages with an LLM. - [Nutlope/aicommits](https://github.com/Nutlope/aicommits) - Write git commit messages with AI. **LLM SDKs & tokenizers** - [mozilla-ai/any-llm](https://github.com/mozilla-ai/any-llm) - Mozilla's unified Python SDK for calling any LLM provider through one interface. - [andrewyng/aisuite](https://github.com/andrewyng/aisuite) - Lightweight Python library offering one OpenAI-style API across many LLM providers. - [openai/openai-python](https://github.com/openai/openai-python) - Official Python SDK for the OpenAI API. - [cluebbehusen/lmux](https://github.com/cluebbehusen/lmux) - Modular Python library for unified multi-provider LLM access with cost reporting. - [MiiFlow/miiflow-agent](https://github.com/MiiFlow/miiflow-agent) - Lightweight unified Python SDK for 9 LLM providers with built-in agent patterns. - [openai/openai-node](https://github.com/openai/openai-node) - Official JavaScript/TypeScript SDK for the OpenAI API. - [openai/tiktoken](https://github.com/openai/tiktoken) - Fast BPE tokenizer for OpenAI models. - [google/sentencepiece](https://github.com/google/sentencepiece) - Unsupervised text tokenizer for neural text generation. - [huggingface/tokenizers](https://github.com/huggingface/tokenizers) - State-of-the-art fast tokenizers optimized for research and production. **Prompt playgrounds & versioning** - [hegelai/prompttools](https://github.com/hegelai/prompttools) - Open-source toolkit for prompt testing and experimentation. - [chrysogonus/prompt-maker-studio](https://github.com/chrysogonus/prompt-maker-studio) - Self-hosted workspace for writing, versioning, and testing prompts. - [ale94lko/llm-workbench](https://github.com/ale94lko/llm-workbench) - Local-first multi-LLM workbench for comparing and versioning prompts. - [supernova-app/ai-playground](https://github.com/supernova-app/ai-playground) - Test prompts across multiple AI models simultaneously. - [sekerderya/prompt-watch](https://github.com/sekerderya/prompt-watch) - Open-source LLM prompt versioning, A/B testing, and monitoring with a privacy-first SDK. **Usage metering & cost tracking** - [victory-c/token-counter](https://github.com/victory-c/token-counter) - Local-first CLI auditing monthly AI coding-agent token spend. - [eroslifestyle/token-ledger](https://github.com/eroslifestyle/token-ledger) - Self-hosted token-usage dashboard aggregating spend across LLM providers. - [DavidAucancela/llm-observatory](https://github.com/DavidAucancela/llm-observatory) - Open-source dashboard tracking Claude API tokens, cost, and latency live. - [aryanjp1/costpilot](https://github.com/aryanjp1/costpilot) - Self-hosted LLM cost analytics dashboard with budgets and forecasting. - [PioneerSquareLabs/metergraph](https://github.com/PioneerSquareLabs/metergraph) - Self-hostable content-blind LLM cost tracking per function with dashboard. - [unkeyed/unkey](https://github.com/unkeyed/unkey) - API key management platform with rate limiting and usage metering. - [openmeterio/openmeter](https://github.com/openmeterio/openmeter) - Real-time usage metering and billing for AI, API, and DevOps products. **Tunnels & networking** - [zerotier/ZeroTierOne](https://github.com/zerotier/ZeroTierOne) - Virtual networks over the internet. - [cloudflare/cloudflared](https://github.com/cloudflare/cloudflared) - Secure tunnels to expose local services. - [tailscale/tailscale](https://github.com/tailscale/tailscale) - Zero-config mesh VPN for teams. - [openziti/zrok](https://github.com/openziti/zrok) - Zero-trust sharing over overlay networks. - [fatedier/frp](https://github.com/fatedier/frp) - Fast reverse proxy for NAT traversal. - [ekzhang/bore](https://github.com/ekzhang/bore) - Simple TCP tunnel with a single binary. - [rathole-org/rathole](https://github.com/rathole-org/rathole) - Lightweight reverse proxy for NAT traversal. - [localtunnel/localtunnel](https://github.com/localtunnel/localtunnel) - Expose localhost to the web instantly. **Self-hosting & PaaS** - [caprover/caprover](https://github.com/caprover/caprover) - Self-hosted PaaS with one-click apps. - [coollabsio/coolify](https://github.com/coollabsio/coolify) - Self-hosted Heroku and Netlify alternative. - [dokku/dokku](https://github.com/dokku/dokku) - Docker-powered mini-Heroku. - [nextcloud/server](https://github.com/nextcloud/server) - Self-hosted file sync and collaboration. - [portainer/portainer](https://github.com/portainer/portainer) - Container management UI for Docker and Kubernetes. - [syncthing/syncthing](https://github.com/syncthing/syncthing) - Continuous peer-to-peer file sync. - [rclone/rclone](https://github.com/rclone/rclone) - Sync files across 70+ cloud providers. - [borgbackup/borg](https://github.com/borgbackup/borg) - Deduplicating archiver with compression. - [restic/restic](https://github.com/restic/restic) - Fast, secure backup program. - [louislam/uptime-kuma](https://github.com/louislam/uptime-kuma) - Self-hosted uptime monitoring. - [dgtlmoon/changedetection.io](https://github.com/dgtlmoon/changedetection.io) - Free website change detection and alerts. - [Dokploy/dokploy](https://github.com/Dokploy/dokploy) - Self-hostable PaaS to deploy apps and AI services with Docker. **Package registries & runtimes** - [verdaccio/verdaccio](https://github.com/verdaccio/verdaccio) - Lightweight private npm proxy registry. - [sonatype/nexus-public](https://github.com/sonatype/nexus-public) - Universal artifact repository manager. - [devpi/devpi](https://github.com/devpi/devpi) - PyPI server and packaging test tool. - [dzikoysk/reposilite](https://github.com/dzikoysk/reposilite) - Lightweight Maven repository manager. - [pypa/bandersnatch](https://github.com/pypa/bandersnatch) - PyPI mirror client. - [pnpm/pnpm](https://github.com/pnpm/pnpm) - Fast, disk-efficient JavaScript package manager. - [oven-sh/bun](https://github.com/oven-sh/bun) - Fast all-in-one JavaScript runtime. - [denoland/deno](https://github.com/denoland/deno) - Secure runtime for JavaScript and TypeScript. ## Other Awesome Lists *Sibling lists worth mining when you need to go deeper on a niche.* **Agent & coding-agent lists** - [ai-for-developers/awesome-ai-coding-tools](https://github.com/ai-for-developers/awesome-ai-coding-tools) - AI coding tools. - [filipecalegario/awesome-vibe-coding](https://github.com/filipecalegario/awesome-vibe-coding) - Vibe-coding references. - [cporter202/ai-agent-tools](https://github.com/cporter202/ai-agent-tools) - AI tools and utilities. - [e2b-dev/awesome-ai-agents](https://github.com/e2b-dev/awesome-ai-agents) - A list of AI autonomous agents. - [kyrolabs/awesome-agents](https://github.com/kyrolabs/awesome-agents) - Awesome list of AI Agents. - [yzfly/Awesome-AGI-Agents](https://github.com/yzfly/Awesome-AGI-Agents) - Curated list of AGI and autonomous agent resources. - [jim-schwoebel/awesome_ai_agents](https://github.com/jim-schwoebel/awesome_ai_agents) - Curated list of AI agent frameworks and tools. - [avinash201199/free-ai-agents-resources](https://github.com/avinash201199/free-ai-agents-resources) - Free AI agent learning hub with curated repos, tutorials, and courses. - [jqueryscript/awesome-coding-agent](https://github.com/jqueryscript/awesome-coding-agent) - Curated directory of AI coding agents ranked with stars and licenses. - [gabrielmoreira/awesome-ai-rabbit-holes](https://github.com/gabrielmoreira/awesome-ai-rabbit-holes) - Opinionated rabbit-holes into coding agents, AI tooling, and the agent economy. - [crazy54/awesome-agentic-atlas](https://github.com/crazy54/awesome-agentic-atlas) - Mega-list of AI agent tools with screenshots, star counts, and install lines. - [Dmaner/awesome-agent-projects](https://github.com/Dmaner/awesome-agent-projects) - Catalog of AI agent projects with stars, update dates, and tags. - [nibzard/awesome-agentic-patterns](https://github.com/nibzard/awesome-agentic-patterns) - Curated catalogue of agentic AI design patterns. - [vijaythecoder/awesome-claude-agents](https://github.com/vijaythecoder/awesome-claude-agents) - Curated list of Claude-based agents and sub-agent dev teams. - [google-labs-code/jules-awesome-list](https://github.com/google-labs-code/jules-awesome-list) - Curated collection of prompts for the Jules coding agent. - [haoruilee/awesome-agent-native-services](https://github.com/haoruilee/awesome-agent-native-services) - Curated catalog of agent-native services with protocol and MCP details. - [Agent-Tools/awesome-autonomous-web](https://github.com/Agent-Tools/awesome-autonomous-web) - Curated list of tools empowering AI agents to interact with the web. - [philfung/awesome-computer-use](https://github.com/philfung/awesome-computer-use) - Curated, opinionated list of papers and libraries for LLM computer use. - [buntys2010/awesome-ai-agents](https://github.com/buntys2010/awesome-ai-agents) - Catalog of computer-use and browser agents with reviews and docs links. **Skills, MCP & Claude lists** - [Anil-matcha/awesome-muse-connectors](https://github.com/Anil-matcha/awesome-muse-connectors) - Catalog of Muse integrations and connector skills. - [Appnova-EU-OU/awesome-remote-mcp-servers](https://github.com/Appnova-EU-OU/awesome-remote-mcp-servers) - Curated list of remote, hosted MCP servers needing no local setup. - [composio-community/awesome-codex-skills](https://github.com/composio-community/awesome-codex-skills) - Curated list of practical Codex skills for automating CLI and API workflows. - [wong2/awesome-mcp-servers](https://github.com/wong2/awesome-mcp-servers) - Long-running curated directory of MCP servers and related resources. - [Rodert/awesome-skill](https://github.com/Rodert/awesome-skill) - Curated list of practical skills for Codex, Claude Code, and OpenCode. - [travisvn/awesome-claude-skills](https://github.com/travisvn/awesome-claude-skills) - Curated list of Claude Skills, resources and tools. - [VoltAgent/awesome-agent-skills](https://github.com/VoltAgent/awesome-agent-skills) - Curated collection of agent skills from official dev teams and community. - [github/awesome-copilot](https://github.com/github/awesome-copilot) - Community instructions, agents, skills and configurations for Copilot. - [yzfly/Awesome-MCP-ZH](https://github.com/yzfly/Awesome-MCP-ZH) - Chinese-language curated MCP guides, servers and clients. - [webfuse-com/awesome-claude](https://github.com/webfuse-com/awesome-claude) - Curated list of things related to Anthropic Claude. **AI & ML lists** - [xlite-dev/Awesome-LLM-Inference](https://github.com/xlite-dev/Awesome-LLM-Inference) - Curated papers with code on LLM inference: attention, quantization, parallelism. - [AI-Efficiency/Awesome-Model-Quantization](https://github.com/AI-Efficiency/Awesome-Model-Quantization) - Curated papers, benchmarks, and tools for model quantization. - [avelino/awesome-go](https://github.com/avelino/awesome-go) - Curated Go frameworks, libraries and software. - [vinta/awesome-python](https://github.com/vinta/awesome-python) - Curated Python frameworks, libraries and resources. - [EthicalML/awesome-production-machine-learning](https://github.com/EthicalML/awesome-production-machine-learning) - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning. - [kelvins/awesome-mlops](https://github.com/kelvins/awesome-mlops) - Sunglasses: A curated list of awesome MLOps tools. - [KalyanKS-NLP/llm-engineer-toolkit](https://github.com/KalyanKS-NLP/llm-engineer-toolkit) - 120+ LLM libraries by category. - [Sumanth077/ai-engineering-toolkit](https://github.com/Sumanth077/ai-engineering-toolkit) - 100+ libraries for AI engineers. - [recodehive/machine-learning-repos](https://github.com/recodehive/machine-learning-repos) - ML frameworks by language. - [academic/awesome-datascience](https://github.com/academic/awesome-datascience) - Memo: An awesome Data Science repository to learn and apply for real world problems. - [lukasmasuch/best-of-ml-python](https://github.com/lukasmasuch/best-of-ml-python) - A ranked list of awesome machine learning Python libraries. Updated weekly. - [codefuse-ai/Awesome-Code-LLM](https://github.com/codefuse-ai/Awesome-Code-LLM) - [TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets. - [uhub/awesome-llm](https://github.com/uhub/awesome-llm) - Curated list of LLM models, tools and resources. - [steven2358/awesome-generative-ai](https://github.com/steven2358/awesome-generative-ai) - Curated list of generative AI projects and services. - [josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning) - Curated ML frameworks and libraries by language. - [ChristosChristofidis/awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning) - Curated deep learning tutorials, papers and datasets. - [keon/awesome-nlp](https://github.com/keon/awesome-nlp) - Curated list of NLP resources and libraries. - [AiHubCN/Awesome-Chinese-LLM](https://github.com/AiHubCN/Awesome-Chinese-LLM) - Curated collection of Chinese LLM resources. - [owainlewis/awesome-artificial-intelligence](https://github.com/owainlewis/awesome-artificial-intelligence) - Curated AI resources for building agentic systems. - [xueyufish/awesome-list](https://github.com/xueyufish/awesome-list) - Curated AI list spanning skills, RAG, MLOps, safety, evals, and inference. - [Amrithasuresh/awesome-index](https://github.com/Amrithasuresh/awesome-index) - Meta-index of awesome AI lists ranked by stars with descriptions. - [rafska/awesome-local-llm](https://github.com/rafska/awesome-local-llm) - Curated list of platforms, tools, and resources for running LLMs locally. - [2Anton1/awesome-ai-tools-2026](https://github.com/2Anton1/awesome-ai-tools-2026) - Curated list of 300+ AI tools for writing, coding, design, and video. - [ToolkitlyAI/awesome-ai-tools](https://github.com/ToolkitlyAI/awesome-ai-tools) - Curated directory of AI tools organized by category with descriptions. - [26medias/awesome-ai-repos](https://github.com/26medias/awesome-ai-repos) - Curated AI repos organized by domain, with stars and language tags. - [tensorchord/Awesome-LLMOps](https://github.com/tensorchord/Awesome-LLMOps) - Curated list of LLMOps tools for developers. **Research, security & evaluation lists** - [ContextJet-ai/awesome-llm-observability](https://github.com/ContextJet-ai/awesome-llm-observability) - 50+ LLM observability tools plus 26 runnable agent skills. - [thinkwee/AgentsMeetRL](https://github.com/thinkwee/AgentsMeetRL) - Curated list of agentic reinforcement learning papers and projects. - [opendilab/awesome-RLHF](https://github.com/opendilab/awesome-RLHF) - Curated list of reinforcement learning with human feedback resources. - [ottosulin/awesome-ai-security](https://github.com/ottosulin/awesome-ai-security) - Curated resources for AI security research. - [subinium/Awesome-Scientific-LLM-Benchmarks](https://github.com/subinium/Awesome-Scientific-LLM-Benchmarks) - Accuracy-first list of benchmarks for evaluating LLMs on scientific reasoning. - [BerSecHub/awesome-ai-red-team](https://github.com/BerSecHub/awesome-ai-red-team) - Definitive resource list for offensive AI security and LLM red teaming. - [brandonhimpfen/awesome-ai-benchmarks-evaluation](https://github.com/brandonhimpfen/awesome-ai-benchmarks-evaluation) - Curated list of AI benchmarks, evaluation tools, datasets, and leaderboards. - [anmolksachan/AI-ML-Free-Resources-for-Security-and-Prompt-Injection](https://github.com/anmolksachan/AI-ML-Free-Resources-for-Security-and-Prompt-Injection) - Free AI security resources: pentesting roadmap and prompt-injection tools. - [GT-RIPL/Awesome-LLM-Robotics](https://github.com/GT-RIPL/Awesome-LLM-Robotics) - Comprehensive list of papers using LLMs and VLMs for robotics and RL. - [yenanjing/awesome-ai-for-science](https://github.com/yenanjing/awesome-ai-for-science) - Curated list of AI projects automating scientific research and discovery. - [JShollaj/awesome-llm-interpretability](https://github.com/JShollaj/awesome-llm-interpretability) - Curated list of LLM interpretability tools, papers and resources. - [scadastrangelove/awesome-ai-security-tools](https://github.com/scadastrangelove/awesome-ai-security-tools) - Curated list of public, research and commercial AI security tools. - [ydyjya/Awesome-LLM-Safety](https://github.com/ydyjya/Awesome-LLM-Safety) - Curated list of LLM safety papers, articles and resources. **General lists** - [sindresorhus/awesome](https://github.com/sindresorhus/awesome) - The root awesome list; the index every curated list descends from. - [devtoolsd/awesome-cloud](https://github.com/devtoolsd/awesome-cloud) - Cloud computing resources. - [amartinson193/The-Ultimate-List-of-Free-SQL-Resources](https://github.com/amartinson193/The-Ultimate-List-of-Free-SQL-Resources) - Free SQL learning resources. - [Axorax/awesome-free-apps](https://github.com/Axorax/awesome-free-apps) - Best free apps for PC and mobile. - [igorbarinov/awesome-data-engineering](https://github.com/igorbarinov/awesome-data-engineering) - Curated list of data engineering tools. - [awesomedata/awesome-public-datasets](https://github.com/awesomedata/awesome-public-datasets) - Topic-centric list of high-quality open datasets. ## Contributing Contributions welcome — read [CONTRIBUTING.md](CONTRIBUTING.md) first. The bar: you have used it, it is maintained, and it fits a layer of the stack. The quickest way in is to [edit this README](https://github.com/tayyabimam1/awesome-ai-agent-stack/edit/main/README.md) and open a pull request; the website updates itself once it is merged. <a href="https://github.com/tayyabimam1/awesome-ai-agent-stack/graphs/contributors"><img src="https://contrib.rocks/image?repo=tayyabimam1/awesome-ai-agent-stack" alt="Contributors"></a> ### Star history <a href="https://star-history.com/#tayyabimam1/awesome-ai-agent-stack&Date"><img src="https://api.star-history.com/svg?repos=tayyabimam1/awesome-ai-agent-stack&type=Date" alt="Star history chart" width="600"></a> ## Footnotes Maintained by [Tayyab Imam](https://github.com/tayyabimam1). If you reuse this list, please credit it: > Based on [Awesome AI Agent Stack](https://github.com/tayyabimam1/awesome-ai-agent-stack) by Tayyab Imam.

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