{"repo":"kurikomi-labs/komi-learn","free":true,"listed":false,"github":"https://github.com/kurikomi-labs/komi-learn","clone":"git clone https://github.com/kurikomi-labs/komi-learn.git","description":"Continuous memory + self-improvement for AI agents. Learns how you work, recalls it automatically, no commands. Claude Code & Codex.","language":"Python","stars":76,"topics":["ai-agents","claude-code","codex","continuous-learning","llm","ai","ai-tools"],"license":"MIT","category":"ai-agents","readme_excerpt":"komi-learn Continuous memory and self-improvement for coding agents. It learns how you work and recalls it automatically, with no commands. Works with Claude Code and Codex. It watches a session, distills durable lessons in the background (your style, your stack, fixes that worked), and loads the relevant ones at the start of the next session. No slash commands, nothing to save by hand. The idea is from Hermes Agent; this is my own take, generalized across hosts with an optional shared layer (the community pool, below). It's early. The core loop is built and CI-tested, but it hasn't been battle-tested across a lot of real sessions yet. Feedback and bug reports are welcome. Install install runs a short interactive setup, then recall and background learning start in your next session. If you already use Claude Code you're already logged in. For scripts, komi-learn install --yes takes the defaults. From source: Commands You can change anything after install, e.g. komi-learn config set recall.semantic false or leave the pool with komi-learn config set pool.repo url \"\" . How it works 1. Recall: at session start, learnings relevant to the current context are loaded. 2. Distill: after the session, a background pass reads the transcript and extracts durable lessons (corrections, techniques, fixes). 3. Curate: over time it merges overlapping lessons and archives stale ones. 4. Share (optional): general lessons can be contributed to the community pool, but only ones you approve. It tri","default_branch":null,"files":null,"tree":[],"storefront":"/r/kurikomi-labs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/kurikomi-labs/komi-learn/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}