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    1. Home
    2. Tools
    3. Learn Claude Code
    Learn Claude Code icon

    Learn Claude Code

    Agent Harness

    An open-source, 12-session educational repository that teaches harness engineering for real AI agents by reverse-engineering Claude Code's architecture from scratch.

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    At a Glance

    Pricing
    Open Source

    Fully free and open-source under the MIT License. Clone, use, modify, and distribute without restriction.

    Engagement

    Available On

    Windows
    Web
    API
    SDK
    CLI

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    Agent HarnessAI CoursesMulti-agent Systems

    Alternatives

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    Developer
    shareAI-labshareAI-lab builds open-source AI tooling designed for post-…

    Listed May 2026

    About Learn Claude Code

    Learn Claude Code is an open-source educational repository that teaches developers how to build agent harnesses — the tools, context management, permissions, and environment infrastructure that surround a model and make it effective in a specific domain. Structured as 12 progressive sessions, it reverse-engineers Claude Code's architecture from a minimal agent loop all the way to isolated, autonomous multi-agent teams. The project is written primarily in TypeScript and Python, licensed under MIT, and includes an interactive Next.js web platform for visualizations and step-through diagrams.

    • s01–s02: The Agent Loop & Tool Use — Start with python agents/s01_agent_loop.py to build the minimal while loop that drives every agent; add tools by registering handlers in a dispatch map.
    • s03–s06: Planning & Knowledge — Learn TodoWrite for structured planning, subagent isolation with independent messages[], on-demand skill loading via tool_result, and three-layer context compression for infinite sessions.
    • s07–s08: Persistence — Build a file-based task graph with dependency ordering; run slow operations in daemon threads with notification injection so the agent keeps thinking.
    • s09–s12: Teams & Autonomy — Spawn persistent teammate agents with async JSONL mailboxes, implement request-response team protocols, enable autonomous task claiming, and isolate parallel execution in separate worktrees.
    • Interactive Web Platform — Run cd web && npm install && npm run dev to access step-through diagrams, source viewer, and session documentation at localhost:3000.
    • Multilingual Documentation — Mental-model-first docs (problem → solution → ASCII diagram → minimal code) available in English, Chinese, and Japanese.
    • Companion CLI & SDK — After completing the sessions, apply knowledge via the open-source Kode Agent CLI (npm i -g @shareai-lab/kode) or the embeddable Kode Agent SDK for backend and browser-extension integration.
    • Universal Harness Patterns — Design principles generalize beyond coding agents to farm management, hotel operations, medical research, manufacturing, and any domain requiring perception, reasoning, and action.
    Learn Claude Code - 1

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    Pricing

    OPEN SOURCE

    Open Source (MIT)

    Fully free and open-source under the MIT License. Clone, use, modify, and distribute without restriction.

    • All 12 progressive agent harness sessions
    • Python reference implementations (s01–s12 + capstone)
    • Interactive Next.js web platform
    • Multilingual documentation (English, Chinese, Japanese)
    • MIT License — free to use, modify, and distribute

    Capabilities

    Key Features

    • 12 progressive sessions from minimal agent loop to multi-agent worktree isolation
    • Subagent spawning with isolated message contexts
    • On-demand skill loading via tool_result injection
    • Three-layer context compression for infinite sessions
    • File-based task graph with dependency ordering
    • Daemon-thread background task execution with notification queue
    • Persistent teammate agents with async JSONL mailboxes
    • Autonomous task claiming by idle agents
    • Worktree isolation for parallel agent execution
    • Interactive Next.js web platform with step-through diagrams
    • Multilingual documentation (English, Chinese, Japanese)
    • MIT licensed and free to use

    Integrations

    Anthropic Claude API
    Kode Agent CLI
    Kode Agent SDK
    OpenClaw
    claw0
    API Available
    View Docs

    Reviews & Ratings

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    Developer

    shareAI-lab

    shareAI-lab builds open-source AI tooling designed for post-human workflows, with Kode Agent as their flagship product. The organization develops terminal-native AI assistants that support multi-model collaboration and autonomous task orchestration. Their work focuses on making AI development tools flexible, extensible, and accessible to developers worldwide.

    Read more about shareAI-lab
    WebsiteGitHub
    2 tools in directory

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