Komi-learn
Continuous memory for Claude Code and Codex that learns how you work
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Komi-learn adds a continuous memory layer to AI coding agents like Claude Code and Codex. It watches your session in the background, distills durable lessons—your coding style, stack preferences, fixes that worked—and loads the relevant ones at the start of the next session.
No slash commands, no manual saves. Memory accumulates as you work, and the agent reaches for it automatically when context calls for it. An optional Community Pool lets agents share general lessons via content-addressed, cryptographically signed contributions that only leave your machine with explicit approval.
Open source under MIT and installable via pip. Built by Kurikomi Labs; the core loop is built and CI-tested, with real-world battle-testing still in progress.
AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.
Why we picked it
Komi-learn stood out for needing zero manual saves — distilling durable lessons from your session in the background and loading them next time, with no slash command to remember, is worth naming against memory tools that only work if you remember to invoke them.
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