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docs: update tagline (continuous memory + self-improvement); drop emoji
Swap the header tagline to "Continuous memory + self-improvement for AI agents. Learns how you work, recalls it automatically, no commands. Claude Code & Codex." and remove the amnesia framing + the 🙏 emoji from the inspired-by note. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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README.md

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# komi-learn
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**Your AI agent, minus the amnesia.**
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**Continuous memory + self-improvement for AI agents.** Learns how you work, recalls it automatically, no commands. Claude Code & Codex.
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[![PyPI](https://img.shields.io/pypi/v/komi-learn)](https://pypi.org/project/komi-learn/)
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[![Python](https://img.shields.io/pypi/pyversions/komi-learn)](https://pypi.org/project/komi-learn/)
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[![License: MIT](https://img.shields.io/badge/license-MIT-blue)](LICENSE)
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[![CI](https://github.com/kurikomi-labs/komi-learn/actions/workflows/ci.yml/badge.svg)](https://github.com/kurikomi-labs/komi-learn/actions/workflows/ci.yml)
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Today's agents start every session from zero — re-learning your preferences, re-deriving the same workarounds, repeating corrected mistakes. **komi-learn** fixes that: it quietly watches how you work, distills the durable lessons (your style, your stack, techniques that pan out) in the background, and reloads the relevant ones into every new session — **automatically, with no commands to type.**
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**komi-learn** quietly watches how you work, distills the durable lessons (your style, your stack, techniques that pan out) in the background, and reloads the relevant ones into every new session — automatically, with no commands to type. One command to set up; then it just runs.
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Works with **Claude Code** and **OpenAI Codex**. One command to set up; then it just runs.
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> Inspired by [Hermes Agent](https://github.com/nousresearch/hermes-agent)'s self-improvement loop — rebuilt to be model-agnostic, universal, and *shareable* (see the community pool below). Early days — feedback very welcome. 🙏
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> Inspired by [Hermes Agent](https://github.com/nousresearch/hermes-agent)'s self-improvement loop — rebuilt to be model-agnostic, universal, and *shareable* (see the community pool below). Early days — feedback very welcome.
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