Content
# Awareness Local
<p align="center">
<strong>Languages:</strong> English | <a href="./README.zh-CN.md">Simplified Chinese</a>
</p>
<p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="assets/branding/awareness-wordmark-dark.svg" />
<img src="assets/branding/awareness-wordmark.svg" alt="Awareness Local — Persistent Memory for AI Coding Agents" width="760" />
</picture>
</p>
<p align="center">
<a href="https://arxiv.org/abs/2410.10813"><img src="https://img.shields.io/badge/LongMemEval_R%405-95.6%25-brightgreen?style=for-the-badge" alt="LongMemEval R@5 95.6%" /></a>
<a href="https://awareness.market/"><img src="https://img.shields.io/badge/Website-awareness.market-0EA5E9?style=for-the-badge&logo=googlechrome&logoColor=white" alt="Website" /></a>
<a href="https://awareness.market/docs"><img src="https://img.shields.io/badge/Docs-awareness.market%2Fdocs-14B8A6?style=for-the-badge&logo=readthedocs&logoColor=white" alt="Docs" /></a>
<a href="https://discord.com/invite/nMDrT538Qa"><img src="https://img.shields.io/badge/Discord-Join%20Community-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord" /></a>
<a href="LICENSE"><img src="https://img.shields.io/badge/License-Apache%202.0-2563EB?style=for-the-badge" alt="License Apache 2.0" /></a>
</p>
<p align="center">
<img src="assets/branding/local-20s.gif" alt="Awareness Local" style="width:min(1200px,100%);height:auto;" />
</p>
**Give your AI agent persistent memory. One command. No account. Works offline.**
Awareness Local is a local-first MCP memory server for AI coding agents. It gives Cursor, Claude Code, Copilot, Cline, and other MCP IDEs persistent memory, hybrid semantic + keyword retrieval, and reusable knowledge cards for long-running software projects.
It runs a lightweight daemon on your machine, stores memory as Markdown, indexes recall with SQLite FTS5 + embeddings, and keeps your AI workflow fast, explainable, and offline-ready.
```bash
npx @awareness-sdk/setup
```
That's it. Your AI agent now remembers everything across sessions.
---
## Why Awareness Local
AI coding agents lose context between sessions. Awareness Local provides cross-session memory recall so agents can continue work without re-explaining architecture, past decisions, pending tasks, and implementation constraints.
- Persistent memory for AI coding agents
- Local-first MCP server with offline support
- Hybrid retrieval (keyword + semantic)
- Knowledge card extraction for decisions, solutions, and risks
## Quick Start
```bash
npx @awareness-sdk/setup
```
Then open your IDE and start coding. Awareness tools become available for recall, record, and session initialization.
## Popular Use Cases
- Long-running codebase migrations across many sessions
- Team handoffs where AI should remember prior implementation context
- Personal coding workflows that need durable preferences and conventions
- Multi-agent setups that share decision history and task memory
## FAQ
### Does Awareness Local work offline?
Yes. Local mode works fully offline with memory stored on your machine.
### Where is data stored?
Memory is stored as Markdown in `.awareness/`, with a local SQLite index for retrieval.
### Do I need a cloud account?
No. Cloud sync is optional and can be enabled later.
### Which IDEs are supported?
Any MCP-compatible IDE, including Cursor, Claude Code, Copilot, Cline, Windsurf, and others.
## Navigation
- [Benchmark: LongMemEval](#benchmark-longmemeval-iclr-2025)
- [Supported IDEs](#supported-ides-13)
- [How It Works](#how-it-works)
- [MCP Tools](#mcp-tools-available-in-your-ide)
- [Cloud Sync](#cloud-sync-optional)
- [SDK & Plugin Ecosystem](#sdk--plugin-ecosystem)
## Benchmark: LongMemEval (ICLR 2025)
Evaluated on **[LongMemEval](https://arxiv.org/abs/2410.10813)** — the industry standard benchmark for long-term conversational memory. 500 human-curated questions across 5 core capabilities.
```
╔══════════════════════════════════════════════════════════════╗
║ ║
║ Awareness Memory — LongMemEval Benchmark Results ║
║ ───────────────────────────────────────────────── ║
║ ║
║ Benchmark: LongMemEval (ICLR 2025) ║
║ Dataset: 500 human-curated questions ║
║ Variant: LongMemEval_S (~115k tokens per question) ║
║ ║
║ ┌─────────────────────────────────────────────────┐ ║
║ │ │ ║
║ │ Recall@1 77.6% (388 / 500) │ ║
║ │ Recall@3 91.8% (459 / 500) │ ║
║ │ Recall@5 95.6% (478 / 500) ◀ PRIMARY │ ║
║ │ Recall@10 97.4% (487 / 500) │ ║
║ │ │ ║
║ └─────────────────────────────────────────────────┘ ║
║ ║
║ Method: Hybrid RRF (BM25 + Semantic Vector Search) ║
║ Embedding: all-MiniLM-L6-v2 (384d) ║
║ LLM Calls: 0 (pure retrieval, no generation cost) ║
║ Hardware: Apple M1, 8GB RAM — 14 min total ║
║ ║
╚══════════════════════════════════════════════════════════════╝
```
```
┌─────────────────────────────────────────────────────────────┐
│ Long-Term Memory Retrieval — R@5 Leaderboard │
│ LongMemEval (ICLR 2025, 500 questions) │
├─────────────────────────────────┬───────────┬───────────────┤
│ System │ R@5 │ Note │
├─────────────────────────────────┼───────────┼───────────────┤
│ MemPalace (ChromaDB raw) │ 96.6% │ R@5 only * │
│ ★ Awareness Memory (Hybrid) │ 95.6% │ Hybrid RRF │
│ OMEGA │ 95.4% │ QA Accuracy │
│ Mastra (GPT-5-mini) │ 94.9% │ QA Accuracy │
│ Mastra (GPT-4o) │ 84.2% │ QA Accuracy │
│ Supermemory │ 81.6% │ QA Accuracy │
│ Zep / Graphiti │ 71.2% │ QA Accuracy │
│ GPT-4o (full context) │ 60.6% │ QA Accuracy │
├─────────────────────────────────┴───────────┴───────────────┤
│ * MemPalace 96.6% is Recall@5 only, not QA Accuracy. │
│ Palace hierarchy was NOT used in the evaluation. │
└─────────────────────────────────────────────────────────────┘
```
```
┌─────────────────────────────────────────────────────────────┐
│ Awareness Memory — R@5 by Question Type │
│ │
│ knowledge-update ████████████████████████████ 100% │
│ multi-session ███████████████████████████▋ 98.5%│
│ single-session-asst ███████████████████████████▌ 98.2%│
│ temporal-reasoning █████████████████████████▊ 94.7%│
│ single-session-user ████████████████████████▎ 88.6%│
│ single-session-pref ███████████████████████▏ 86.7%│
│ │
│ Overall █████████████████████████▉ 95.6%│
│ │
│ ┌───────────────────────────────────────────────┐ │
│ │ Ablation Study │ │
│ │ ───────────────────────────────────────── │ │
│ │ Vector-only: 92.6% ▓▓▓▓▓▓▓▓▓▓▓▓▓░░░ │ │
│ │ BM25-only: 91.4% ▓▓▓▓▓▓▓▓▓▓▓▓▓░░░ │ │
│ │ Hybrid RRF: 95.6% ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓░ ★ │ │
│ │ Hybrid = +3% over any │ │
│ │ single method alone │ │
│ └───────────────────────────────────────────────┘ │
│ │
│ arxiv.org/abs/2410.10813 awareness.market │
└─────────────────────────────────────────────────────────────┘
```
Zero LLM calls. [Reproducible benchmark scripts →](https://github.com/edwin-hao-ai/Awareness/tree/main/benchmarks/longmemeval)
---
It Does
**Before session starts from scratch. You re-explain the codebase,justify decisions, watch the agent redo work.
**After:** Your agent says *"I remember you were migrating from MySQL to PostgreSQL. Last session you completed the schema changes and had 2 TODOs remaining..."*
```
Session 1 Session 2
┌─────────────────────────┐ ┌─────────────────────────┐
│ Agent: "What database │ Agent: "I remember we │
│ You: "SQL..." │ │ chose PostgreSQL for │
│ AgentWhat framework?"│ → │ JSON support. You had│ You: "FastAPI..." │ │ 2 TODO. Let me │
│ (repeat every session) │ continue from there." │
└─────────────────────────┘ └─────────────────────────┘
```
---
## Supported IDEs (13+)
| IDE | Auto-detected | Plugin |
|-----|:---:|:---:|
| **Claude Code** | ✅ | [`awareness-memory`](https://github.com/edwin-hao-ai/Awareness-SDK/tree/main/claudecode) |
| **Cursor** | ✅ | via MCP |
| **Windsurf** | ✅ | via MCP |
| **OpenClaw** | ✅ | [`@awareness-sdk/openclaw-memory`](https://www/package/@awareness-sdk/openclaw-memory) |
| **C | ✅ | via MCP |
| **GitHub Copilot** | via MCP |
| **Codex CLI** | ✅ | via| **Kiro** | ✅ | via MCP |
| **Tra | ✅ | via MCP |
| **Zed** | ✅ | |
| **JetBrains (Junie)** | ✅ | via MCP |
| **Augment** | ✅ | via MCP |
| **AntiGravity (Jules)** | ✅ | via MCP |
---
## How It Works
```
Your IDE / AI Agent
│
│ MCP Protocol (localhost:37800)
▼
┌────────────────────────────────────┐
│ Awareness Local Daemon │
│ │
│ Markdown files → Human-readable, git-friendly
│ SQLite FTS5 → Fast keyword search
│ Local embedding → Semantic search (optional: npm i @huggingface/transformers)
│ Knowledge cards → Auto-extracted decisions, solutions, risks
│ Web Dashboard → http://localhost:37800/
│ │
│ Cloud sync (optional) │
│ → One-click device-auth │
│ → Bidirectional sync │
│ → Semantic vector search │
│ → Team collaboration │
└────────────────────────────────────┘
```
### Your Data
All memories stored as **Markdown files** in `.awareness/` — human-readable, editable, git-friendly:
```
.awareness/
├── memories/
│ ├── 2026-03-22_decided-to-use-postgresql.md
│ ├── 20203-22_fixed-auth-bug.md
│ └── ...
├── knowledge/
│ ├── decisions/postgresql-over-mysql.md
│ └── solutions/auth-token-refresh.md
/
│ └── open/implement-rate-limiting.md
└── index.db (search index, auto-rebuilt)
```
---
## Features
### MCP Tools (available in your IDE)
| Tool | What it does |
|------|-------------|
| `awareness_init` | Load session context — recent knowledge, tasks, rules |
| `awareness_recall` | Search memories — progressive disclosure (summary → full) |
| `awareness_record` | Save decisions, code changes, insights — with knowledge extraction |
| `awareness_lookup` | Fast lookup — tasks, knowledge cards, session history, risks |
| `awareness_get_agent_prompt` | Get agent-specific prompts for multi-agent### Progressive Disclosure (Smart Token Usage)
Instead of dumping everything into context, Awareness uses a two-phase recall:
```
Phase 1: awareness_recall(query, detail="summary")
→ Lightweight index (~80 tokens each): title + summary + score
→ Agent reviews and picks what's relevant
Phase 2: awareness_recall(detail="full", ids=[...])
→ Complete content for selected items only
→ No truncation, no wasted tokens
```
### Web Dashboard
Visit `http://localhost00/` to browse memories, knowledge cards, tasks, and manage cloud sync.
### Cloud Sync (Optional)
Connect to [Awareness Cloud](https://awareness.market) for:
- Semantic vector search (100+ languages)
- Cross-device real-time sync
- Team collaboration
- Memory marketplace
```bash
npx @awareness-sdk/setup --cloud
# Or click "Connect to Cloud" in the dashboard
```
---
## SDK & Plugin Ecosystem
Awareness Local is part of the Awareness ecosystem:
| Package | For | Install |
|---------|-----|---------|
| **[Awareness Local](https://github.com/edwin-hao-ai/Awareness-Local Local daemon + MCP server | `npx @awareness-sdk/setup` |
| **[Python SDK](https://pypi.org/project/awareness-memory-cloud/)** | `wrap_openai()` / `wrap_anthropic()` | `pip install awareness-memory-cloud` **[TypeScript SDK](https://www.npmjs.com/package/@awareness-sdk/memory-cloud)** | `wrap()` / `wrapAnthropic()` interceptors | `npm i @awareness-sdk/memory-cloud` |
| **[Open Plugin](https://www.npmjs.com/package/@aw/openclaw-memory)** | Auto-recall-capture | `openclaw plugins install @awareness-sdk/openclaw-memory` |
|aude Code Plugin](https://github.com/edwin-hao-ai/Awareness-SDK/tree/main/claudecode)** | Skills + `/plugin marketplace add edwin-/Awareness-S → `/plugin install awareness-memory@awareness` |
| **[Setup CLI](https://www/package/@awareness-sdk/setup)** | One-command setup for 13+ IDEs | `npx @awareness-sdk/setup` |
Full SDK docs: [awareness.market/docs](https://awareness.market/docs)
---
## Requirements
- Node.js 18+
- Any MCP-compatible IDE
No Python, no Docker, no cloud account needed.
## License
2.0
---
### Tags & Integration
**IDE Support:** [Cursor](https://), [Windsurf](https://codeium.com/windsurf), [Trae://www.trae.sh), [](https://zed.dev), VS Code, JetBrains.
**Compatible with:** OpenClaw, AutoGPT, LangChain, MetaGPT.
**Key Technology:** OMP (Open Memory Protocol), LatentMAS, Shared Thought Space, One.
**Focus:** Solving AI "Lobster Memory" (Long-term memory loss), Automating complex workflows, Simplifying Agent setup.
