Show HN: Komi-learn – continuous memory and self-improvement for coding agents
Komi-learn is a tool designed for coding agents that enables continuous memory and self-improvement. It automatically learns and recalls user-specific coding styles and techniques without requiring manual commands. The tool is still in early development, with a focus on gathering user feedback and improving its functionality.
- ▪Komi-learn integrates with Claude Code and Codex to enhance coding sessions.
- ▪The tool distills lessons from previous sessions and applies them in future interactions.
- ▪Users can contribute to a community pool of lessons while maintaining control over their data.
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Story provenance
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/kurikomi-labs/komi-learn |
| Publication time | Sun, 31 May 2026 05:11:40 +0000 |
| Retrieval time | 2026-05-31T07:01:29.225Z |
| Last seen | 2026-05-31T07:01:29.225Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Bl92LS2MuIxE |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.