learn-claude-code-rs

[](https://github.com/wulawulu/learn-claude-code-rs/actions/workflows/ci.yml) # learn-claude-code-rs English | [中文](./README.zh.md) A progressive AI Agent Harness tutorial written in Rust. This repository is a Rust-oriented learning path for building an agent harness. It starts with the smallest agent loop and gradually adds tools, planning, subagents, skills, context compaction, permissions, hooks, memory, multi-agent collaboration, worktree isolation, MCP/plugins, and tool routing. This project was inspired by [shareAI-lab/learn-claude-code](https://github.com/shareAI-lab/learn-claude-code/tree/main). Its chapter design, content organization, and some code ideas reference that project to a certain extent, then reimplement and adapt them for the Rust ecosystem. It is not a line-by-line copy or a simple port; it reorganizes the agent harness topic itself into a runnable Rust tutorial. Each chapter is an independent runnable Rust crate. You can read them in order or jump directly into a topic to see how a harness capability is expressed through data structures, runtime loops, tool interfaces, and durable state. ## Why This Repo Most LLM examples stop at tool calling. This repo focuses on the runtime around the model: - tool dispatch - permissions - skills - memory - context compaction - subagents - background work - team protocols - worktree isolation - MCP plugins - typed tool routing ## Architecture  ## Audience - People who want to understand the internals of coding agents instead of only using existing products. - People who want to write AI agents, CLI tools, or automation tools in Rust. - Readers who already know LLM APIs and want to learn tool use, subagents, permissions, hooks, memory, and related engineering structures. - People interested in the infrastructure behind Claude Code, Codex, Devin, Cursor Agent, and similar coding agents. ## Quick Start Prepare Rust: ```bash rustup update cargo --version ``` Configure the model API. The examples use an Anthropic-compatible SDK interface and read configuration from environment variables: ```bash cp .env.example .env ``` Edit `.env`: ```bash ANTHROPIC_API_KEY=your_api_key ANTHROPIC_BASE_URL=your_anthropic_compatible_base_url ANTHROPIC_MODEL=your_model_name ``` Run the first chapter: ```bash cargo run -p s01_agent_loop ``` Run the integrated version: ```bash cargo run -p sfull ``` Check the whole workspace: ```bash cargo check --workspace ``` ## Learning Path Each chapter is an independent crate that can be run, read, and modified on its own. Reading in order is recommended because later chapters build on earlier structures. | Chapter | Directory | Topic | Description | | --- | --- | --- | --- | | 01 | [`s01_agent_loop`](./s01_agent_loop) | Agent Loop | Minimal runnable agent with user input, model response, tool calling, and a basic bash tool. Docs: [`s01.en.md`](./s01_agent_loop/s01.en.md). | | 02 | [`s02_tool_use`](./s02_tool_use) | Tool Use | Extract tools into a trait and add `read_file`, `write_file`, and `edit_file`. Docs: [`s02.en.md`](./s02_tool_use/s02.en.md). | | 03 | [`s03_todo_write`](./s03_todo_write) | Todo Planning | Add a todo tool so the agent can maintain a plan and execution state. Docs: [`s3.en.md`](./s03_todo_write/s3.en.md). | | 04 | [`s04_subagent`](./s04_subagent) | Subagent | Start fresh-context subagents for delegated exploration or subtasks. Docs: [`s4.en.md`](./s04_subagent/s4.en.md). | | 05 | [`s05_skill_loading`](./s05_skill_loading) | Skill Loading | Load skills from `skills/` and inject skill content into context on demand. Docs: [`s05.en.md`](./s05_skill_loading/s05.en.md). | | 06 | [`s06_context_compact`](./s06_context_compact) | Context Compact | Compact long context while preserving key state. Docs: [`s06.en.md`](./s06_context_compact/s06.en.md). | | 07 | [`s07_permission_system`](./s07_permission_system) | Permission | Add permission modes and interactive confirmation for tool calls. Docs: [`s07.en.md`](./s07_permission_system/s07.en.md). | | 08 | [`s08_hook_system`](./s08_hook_system) | Hook System | Add lifecycle hooks around tool execution and agent events. Docs: [`s08.en.md`](./s08_hook_system/s08.en.md). | | 09 | [`s09_memory_system`](./s09_memory_system) | Memory | Add durable memory for preferences, facts, feedback, and references. Docs: [`s09.en.md`](./s09_memory_system/s09.en.md). | | 10 | [`s10_system_prompt`](./s10_system_prompt) | System Prompt | Manage system prompts through structured sections and templates. Docs: [`s10.en.md`](./s10_system_prompt/s10.en.md). | | 11 | [`s11_error_recovery`](./s11_error_recovery) | Error Recovery | Recover from tool failures, model errors, transport errors, and truncation. Docs: [`s11.en.md`](./s11_error_recovery/s11.en.md). | | 12 | [`s12_task_system`](./s12_task_system) | Task System | Add structured task records with status, owner, and dependencies. Docs: [`s12.en.md`](./s12_task_system/s12.en.md). | | 13 | [`s13_background_tasks`](./s13_background_tasks) | Background Tasks | Start, query, and manage long-running background commands. Docs: [`s13.en.md`](./s13_background_tasks/s13.en.md). | | 14 | [`s14_cron_scheduler`](./s14_cron_scheduler) | Cron Scheduler | Schedule future tasks and reinject them into the loop when due. Docs: [`s14.en.md`](./s14_cron_scheduler/s14.en.md). | | 15 | [`s15_agent_teams`](./s15_agent_teams) | Agent Teams | Organize multiple agents into teams with roles, inboxes, and messages. Docs: [`s15.en.md`](./s15_agent_teams/s15.en.md). | | 16 | [`s16_team_protocols`](./s16_team_protocols) | Team Protocols | Add durable request-response protocols for multi-agent collaboration. Docs: [`s16.en.md`](./s16_team_protocols/s16.en.md). | | 17 | [`s17_autonomous_agents`](./s17_autonomous_agents) | Autonomous Agents | Implement long-running workers with idle polling and task claiming. Docs: [`s17.en.md`](./s17_autonomous_agents/s17.en.md). | | 18 | [`s18_worktree_task_isolation`](./s18_worktree_task_isolation) | Worktree Isolation | Use git worktrees to isolate task execution environments. Docs: [`s18.en.md`](./s18_worktree_task_isolation/s18.en.md). | | 19 | [`s19_mcp_plugin`](./s19_mcp_plugin) | MCP Plugin | Connect MCP/plugin tools to the same permission and tool-result loop. Docs: [`s19.en.md`](./s19_mcp_plugin/s19.en.md). | | 20 | [`s20_tool_refactor`](./s20_tool_refactor) | Tool Refactor | Refactor tool registration, routing, dispatch, and macro support. Docs: [`s20.en.md`](./s20_tool_refactor/s20.en.md). | | Full | [`sfull`](./sfull) | Complete Version | Integrate previous chapters into one complete agent harness. Docs: [`sfull.en.md`](./sfull/sfull.en.md). | ## Recommended Reading Order 1. Run `s01_agent_loop` and understand the minimal loop: user input, model response, tool call, and tool result. 2. Read `s02_tool_use` through `s04_subagent` to understand tools, planning, and delegation. 3. Read `s05_skill_loading` through `s08_hook_system` to see how a demo becomes an extensible system. 4. Read `s09_memory_system` through `s14_cron_scheduler` to understand state, long-running work, and scheduling. 5. Read `s15_agent_teams` through `s20_tool_refactor` to understand multi-agent collaboration, isolated execution, plugins, and tool routing. 6. Read `sfull` last to see how the pieces fit together. ## Project Structure ```text . ├── Cargo.toml ├── CONTRIBUTING.md ├── s01_agent_loop/ ├── s02_tool_use/ ├── s03_todo_write/ ├── s04_subagent/ ├── s05_skill_loading/ ├── s06_context_compact/ ├── s07_permission_system/ ├── s08_hook_system/ ├── s09_memory_system/ ├── s10_system_prompt/ ├── s11_error_recovery/ ├── s12_task_system/ ├── s13_background_tasks/ ├── s14_cron_scheduler/ ├── s15_agent_teams/ ├── s16_team_protocols/ ├── s17_autonomous_agents/ ├── s18_worktree_task_isolation/ ├── s19_mcp_plugin/ ├── s20_tool_refactor/ ├── s20_tool_refactor_macros/ ├── sfull/ └── skills/ ``` ## Common Commands Run a chapter: ```bash cargo run -p s03_todo_write ``` Run the full version: ```bash cargo run -p sfull ``` Check: ```bash cargo check --workspace ``` Test: ```bash cargo test --workspace ``` Format: ```bash cargo fmt --all ``` ## Acknowledgements Some Rust engineering ideas in this project were inspired by [bosun-ai/swiftide](https://github.com/bosun-ai/swiftide), especially around hooks and system prompts. ## Contributing Contributions are welcome from people interested in Rust, AI agents, tool use, MCP, and coding agents. Please read [`CONTRIBUTING.md`](./CONTRIBUTING.md) before opening an issue or pull request. Useful contribution areas: - Fix unclear or outdated docs. - Add explanations, diagrams, or examples. - Improve code structure and error handling. - Add tests. - Connect more models, tools, or MCP servers. - Translate docs. ## License This project is licensed under the MIT License. Please preserve the license information when using, modifying, or distributing this project.