This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
komi-learn
Continuous memory and self-improvement for coding agents
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.
Hey Product Hunt 👋
I built komi-learn out of a small daily frustration: I'd spend the first few minutes of every coding session re-teaching my agent things it already "knew" yesterday — my stack, how I like things done, a fix we'd landed together. It has no memory, so I'm the memory.
So I built the loop that Hermes Agent (from Nous Research) demonstrated, but generalized so it plugs into the agents people actually use day to day — Claude Code and Codex — with no commands to learn. It watches a session, distills the durable lessons in the background, and quietly loads the relevant ones next time.
Two things I cared about most:
Zero friction. If remembering requires you to remember to save things, it won't happen. So it's all automatic, on session hooks.
Don't learn the wrong things. A deterministic filter strips secrets, machine-specific paths, and one-off failures before anything is kept — so it doesn't memorize your API key or "this flaky test failed once."
It's local by default; there's an optional, opt-in community pool (signed Markdown on GitHub, no server) if you want your agent to benefit from lessons other people's agents figured out.
It's early and I'd love your honest feedback — especially if you try it and something feels off. What would make this genuinely useful in your workflow?
Repo + install: github.com/kurikomi-labs/komi-learn
About komi-learn on Product Hunt
“Continuous memory and self-improvement for coding agents”
komi-learn was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #119 on the daily leaderboard. 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.
On the analytics side, komi-learn competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how komi-learn performed against the three products that launched closest to it on the same day.
Who hunted komi-learn?
komi-learn was hunted by Usmon Narzullaev. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of komi-learn including community comment highlights and product details, visit the product overview.
Usmon Narzullaev