# learn-claude-code **Repository Path**: seafuture/learn-claude-code ## Basic Information - **Project Name**: learn-claude-code - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-02-25 - **Last Updated**: 2026-02-25 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Learn Claude Code -- A nano Claude Code-like agent, built from 0 to 1 [English](./README.md) | [中文](./README-zh.md) | [日本語](./README-ja.md) ``` THE AGENT PATTERN ================= User --> messages[] --> LLM --> response | stop_reason == "tool_use"? / \ yes no | | execute tools return text append results loop back -----------------> messages[] That's the minimal loop. Every AI coding agent needs this loop. Production agents add policy, permissions, and lifecycle layers. ``` **12 progressive sessions, from a simple loop to isolated autonomous execution.** **Each session adds one mechanism. Each mechanism has one motto.** > **s01**   *"Bash is all you need"* — one tool + one loop = an agent > > **s02**   *"The loop didn't change"* — adding tools means adding handlers, not rewriting the loop > > **s03**   *"Plan before you act"* — visible plans improve task completion > > **s04**   *"Process isolation = context isolation"* — fresh messages[] per subagent > > **s05**   *"Load on demand, not upfront"* — inject knowledge via tool_result, not system prompt > > **s06**   *"Strategic forgetting"* — forget old context to enable infinite sessions > > **s07**   *"State survives /compact"* — file-based state outlives context compression > > **s08**   *"Fire and forget"* — non-blocking threads + notification queue > > **s09**   *"Append to send, drain to read"* — async mailboxes for persistent teammates > > **s10**   *"Same request_id, two protocols"* — one FSM pattern powers shutdown + plan approval > > **s11**   *"Poll, claim, work, repeat"* — no coordinator needed, agents self-organize > > **s12**   *"Isolate by directory, coordinate by task ID"* — task board + optional worktree lanes --- ## The Core Pattern ```python def agent_loop(messages): while True: response = client.messages.create( model=MODEL, system=SYSTEM, messages=messages, tools=TOOLS, ) messages.append({"role": "assistant", "content": response.content}) if response.stop_reason != "tool_use": return results = [] for block in response.content: if block.type == "tool_use": output = TOOL_HANDLERS[block.name](**block.input) results.append({ "type": "tool_result", "tool_use_id": block.id, "content": output, }) messages.append({"role": "user", "content": results}) ``` Every session layers one mechanism on top of this loop -- without changing the loop itself. ## Scope (Important) This repository is a 0->1 learning project for building a nano Claude Code-like agent. It intentionally simplifies or omits several production mechanisms: - Full event/hook buses (for example PreToolUse, SessionStart/End, ConfigChange). s12 includes only a minimal append-only lifecycle event stream for teaching. - Rule-based permission governance and trust workflows - Session lifecycle controls (resume/fork) and advanced worktree lifecycle controls - Full MCP runtime details (transport/OAuth/resource subscribe/polling) Treat the team JSONL mailbox protocol in this repo as a teaching implementation, not a claim about any specific production internals. ## Quick Start ```sh git clone https://github.com/shareAI-lab/learn-claude-code cd learn-claude-code pip install -r requirements.txt cp .env.example .env # Edit .env with your ANTHROPIC_API_KEY python agents/s01_agent_loop.py # Start here python agents/s11_autonomous_agents.py # Full autonomous team python agents/s12_worktree_task_isolation.py # Task-aware worktree isolation ``` ### Web Platform Interactive visualizations, step-through diagrams, source viewer, and documentation. ```sh cd web && npm install && npm run dev # http://localhost:3000 ``` ## Learning Path ``` Phase 1: THE LOOP Phase 2: PLANNING & KNOWLEDGE ================== ============================== s01 The Agent Loop [1] s03 TodoWrite [5] while + stop_reason TodoManager + nag reminder | | +-> s02 Tools [4] s04 Subagents [5] dispatch map: name->handler fresh messages[] per child | s05 Skills [5] SKILL.md via tool_result | s06 Compact [5] 3-layer compression Phase 3: PERSISTENCE Phase 4: TEAMS ================== ===================== s07 Tasks [8] s09 Agent Teams [9] file-based CRUD + deps graph teammates + JSONL mailboxes | | s08 Background Tasks [6] s10 Team Protocols [12] daemon threads + notify queue shutdown + plan approval FSM | s11 Autonomous Agents [14] idle cycle + auto-claim | s12 Worktree Isolation [16] task coordination + optional isolated execution lanes [N] = number of tools ``` ## Architecture ``` learn-claude-code/ | |-- agents/ # Python reference implementations (s01-s12 + full) |-- docs/{en,zh,ja}/ # Mental-model-first documentation (3 languages) |-- web/ # Interactive learning platform (Next.js) |-- skills/ # Skill files for s05 +-- .github/workflows/ci.yml # CI: typecheck + build ``` ## Documentation Mental-model-first: problem, solution, ASCII diagram, minimal code. Available in [English](./docs/en/) | [中文](./docs/zh/) | [日本語](./docs/ja/). | Session | Topic | Motto | |---------|-------|-------| | [s01](./docs/en/s01-the-agent-loop.md) | The Agent Loop | *Bash is all you need* | | [s02](./docs/en/s02-tool-use.md) | Tools | *The loop didn't change* | | [s03](./docs/en/s03-todo-write.md) | TodoWrite | *Plan before you act* | | [s04](./docs/en/s04-subagent.md) | Subagents | *Process isolation = context isolation* | | [s05](./docs/en/s05-skill-loading.md) | Skills | *Load on demand, not upfront* | | [s06](./docs/en/s06-context-compact.md) | Compact | *Strategic forgetting* | | [s07](./docs/en/s07-task-system.md) | Tasks | *State survives /compact* | | [s08](./docs/en/s08-background-tasks.md) | Background Tasks | *Fire and forget* | | [s09](./docs/en/s09-agent-teams.md) | Agent Teams | *Append to send, drain to read* | | [s10](./docs/en/s10-team-protocols.md) | Team Protocols | *Same request_id, two protocols* | | [s11](./docs/en/s11-autonomous-agents.md) | Autonomous Agents | *Poll, claim, work, repeat* | | [s12](./docs/en/s12-worktree-task-isolation.md) | Worktree + Task Isolation | *Isolate by directory, coordinate by task ID* | ## License MIT --- **The model is the agent. Our job is to give it tools and stay out of the way.**