Satori
Description
Self-learning loop for Claude Code — corrections and failures become skills, behind a human gate. MCP + hooks, Windows-native, zero background LLM calls.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
satori
**A self-learning loop for Claude Code — the model learns skills from its own sessions. Fully automatic, fully visible, fully reversible.**
[](#-beta-disclaimer) [](LICENSE) [](https://github.com/timoncool/satori/stargazers) [](https://github.com/timoncool/satori/commits)
**[English](README.md)** · **[Русский](README_RU.md)**

⚠️ Beta disclaimer
This is **beta software** I build for myself and share with the community as-is. It parses your session transcripts, stores lesson data locally and — **by default, automatically** — activates skills that will instruct your future Claude sessions. Every activation is announced in chat (⛩) and reversible in one call (`retire_skill`), but do read `server.py` and watch what your agent learns. It works on my setup; I can't guarantee yours and **take no responsibility** for the skills your agent teaches itself. Want to pre-approve everything instead? `SATORI_AUTO_APPROVE=0`.
satori is an MCP server + hooks that give Claude Code a closed self-learning loop: user corrections and tool failures become lesson candidates, lessons become skill drafts, drafts become active skills — automatically, visibly, reversibly. Windows-native, works in Claude Desktop, zero bash wrappers.
Two principles you won't find together elsewhere: **the server does only deterministic mechanics** (parsing, counters, storage, validation) — the thinking is done by the calling model right in the session, no background LLM calls, no extra bills; and **fully automatic, fully visible, fully reversible** — validated drafts activate on their own, every lo
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