AI Agents
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An agentic skills framework & software development methodology that works.
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View guide →Rebuild Claude Code’s core in ~5,000 lines: an 11-chapter coding-agent masterclass.
claude-code-from-scratch is an open-source agents project by Windy3f3f3f3f (Windy3f3f3f3f/claude-code-from-scratch on GitHub). It has 2,727 GitHub stars and 547 forks, is released under the MIT license, and was last updated on GitHub on 9 July 2026.
Follow the guided tutorial sequence.
Implement the agent’s reasoning cycle.
Wire up file, shell, and search tools.
End with a working Claude Code-style agent.
Step-by-step guided learning.
Core architecture, nothing extra.
Two implementations to study.
No magic; every piece explained.
You finish with a real coding agent.
MIT licensed learning resource.
Download the source and move into the project folder.
git clone https://github.com/Windy3f3f3f3f/claude-code-from-scratch.git
cd claude-code-from-scratchEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open project at Windy3f3f3f3f/claude-code-from-scratch with 547 forks.
Yes. MIT licensed.
Yes. The finished agent still calls a real model API.
Eleven chapters; pace yourself over days or weeks.
Parts are; this project exists because the full source is too large to study.
An agentic skills framework & software development methodology that works.
A lightweight, powerful framework for multi-agent workflows
Self-hosted ai agents: minimal ai coding agent (~1,000 lines of python) inspir.
A Claude Code-style coding agent that runs anywhere and works with almost any model provider
Community-built terminal coding agent: bring your own model, keep code local.
Local-first agentic workspace where Claude Code, Codex and a built-in agent share memory, apps and tools.
The most-starred other Agents projects in the LibreAI catalogue — the realistic shortlist if claude-code-from-scratch is not the right fit.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Free and open — grab the source, star the repo, and start creating.