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AI-powered second brain — bookmark, compile, query

17 starsTypeScript

CacheZero – Karpathy's LLM wiki idea as one NPM install

by swarajbachu·Apr 6, 2026·4 points·0 comments

AI Analysis

MidShip ItCozy

Karpathy's viral LLM wiki idea packaged as one NPM install for Obsidian users.

Strengths
  • Complete pipeline from Chrome bookmark to compiled wiki with wikilinks and citations
  • Vault is plain markdown files—git-trackable and opens natively in Obsidian
  • Quartz integration publishes static site to Vercel with one command
Weaknesses
  • Second-brain tools are extremely crowded (Obsidian AI, Mem, Logseq, Notion)
  • Compile quality depends entirely on SCHEMA.md prompt engineering per author's admission
Category
Target Audience

Knowledge workers, researchers, second-brain enthusiasts using Obsidian

Similar To

Obsidian · Mem · Logseq

Post Description

Karpathy's recent tweet about LLM knowledge bases went viral (17M views). He described a system where you dump raw content into a folder, an LLM compiles it into an interconnected wiki, and you search/query it through Obsidian.

I built the whole pipeline as a single CLI tool:

- Chrome extension to bookmark tweets, articles, YouTube, anything - Hono server + LanceDB for vector search - Claude Code compiles your bookmarks into wiki pages with wikilinks and citations - Browse in Obsidian with graph view - Publish as a static site with Quartz

npm i -g cachezero

https://github.com/swarajbachu/cachezero

Would love feedback on the compile step specifically — the wiki quality depends heavily on the SCHEMA.md prompt and I'm still iterating on it.

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