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AI · May 31, 2026

Komi-learn – continuous memory and self-improvement for coding agents

Continuous memory + self-improvement for AI agents. Learns how you work, recalls it automatically, no commands. Claude Code & Codex. - kurikomi-labs/komi-learn

Komi-learn – continuous memory and self-improvement for coding agents launched on May 31, 2026 with 27 votes, #842 of 20,538 launches that month and more than 95% of that year's launches.

Visit github.com ↗Alternativestop 4% of May 2026

In plain words

Komi-learn is a development tool that provides continuous memory and self-improvement capabilities for coding agents. It enables these agents to learn from past interactions and progressively enhance their performance over time. The tool is designed for developers working with AI-powered code generation and automation systems. Its distinguishing feature is the ability to maintain persistent memory while continuously iterating on agent behavior, making it useful for creating more capable and adaptive coding assistants.

written from the facts on this page · September 2026

From the sources

Coding agents forget everything between sessions. komi-learn gives yours continuous memory: it learns your stack and style in the background and recalls it automatically next session. No commands, runs locally. Works with Claude Code and Codex. Open source.

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. pip install komi-learn…from github.com

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