<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: KanishkNoir</title><link>https://news.ycombinator.com/user?id=KanishkNoir</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 22 Jul 2026 22:16:10 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=KanishkNoir" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by KanishkNoir in "Show HN: Cognikernel- Local Memory for AI Coding Assistants"]]></title><description><![CDATA[
<p>If you want to try out cognikernel in your claude code / codex. I would highly recommend using the fine tuned models rather going with lexical approach mentioned in readme!</p>
]]></description><pubDate>Tue, 21 Jul 2026 16:56:36 +0000</pubDate><link>https://news.ycombinator.com/item?id=48994969</link><dc:creator>KanishkNoir</dc:creator><comments>https://news.ycombinator.com/item?id=48994969</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48994969</guid></item><item><title><![CDATA[Show HN: Cognikernel- Local Memory for AI Coding Assistants]]></title><description><![CDATA[
<p>Every coding session in claude code/ codex starts blindly. It forgets the archiectural decisions you made in a session you ran yesterday/ a week ago or a month ago. We end up depending on maintaining a Claude.md file or diff markdown files that these agents rely on their memory features.<p>I started building CogniKernel to solve this problem.<p>Instead of relying on markdown memory files, CogniKernel observes the coding session itself. It captures decisions, constraints, architectural decisions, project specific context etc info as they naturally emerge.<p>The goal is simple: The agent should remember what it learned yesterday without me telling it what to remember.<p>Some things it stores automatically:<p>- Architectural decisions and design rationale
- Project conventions and coding patterns
- Important implementation details
- User preferences and recurring constraints
- Relationships between files, modules, and components<p>The memory is local-first and designed to work alongside existing coding agents rather than replace them.<p>A few design goals I had:<p>- Zero manual memory curation
- Local storage instead of cloud dependency
- Fast retrieval with relevant context instead of dumping everything
- Agent-agnostic architecture so it can work beyond a single coding assistant
- Memory that improves over time instead of growing into an unsearchable log<p>Was it impactful???
I build 4 full fledged projects using cognikernel while switching the auto-memory off from claude code and same project same prompt, same sessions using the auto memory<p>- 30% Less Tokens used 
- 4x less read tools used<p>And a bonus!!! If you use claude code and codex both you can just start a session in alternate tool and your memory will carry forward there as well!!!<p>This was a hobby project and if you use it and it helped your work, please let me know any feedback!</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48984355">https://news.ycombinator.com/item?id=48984355</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 20 Jul 2026 20:20:10 +0000</pubDate><link>https://github.com/KanishkNoir/cognikernel</link><dc:creator>KanishkNoir</dc:creator><comments>https://news.ycombinator.com/item?id=48984355</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48984355</guid></item></channel></rss>