@TechFlow99: BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build. 48 hours after Karpathy posted h…

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open-source knowledge-graph llm codebase-analysis claude developer-tool ai-agents

Summary

A new open-source tool called Graphify was built within 48 hours of Andrej Karpathy describing an LLM knowledge base workflow, enabling users to generate navigable knowledge graphs, Obsidian vaults, and wikis from any folder with 71.5x fewer tokens per query compared to reading raw files. It integrates with Claude Code and supports 13 programming languages, PDFs, images, and Markdown.

BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build. 48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub. It's called Graphify. One command. Any folder. Full knowledge graph. Point it at any folder. Run /graphify inside Claude Code. Walk away. Here is what comes out the other side: -> A navigable knowledge graph of everything in that folder -> An Obsidian vault with backlinked articles -> A wiki that starts at index. md and maps every concept cluster -> Plain English Q&A over your entire codebase or research folder You can ask it things like: "What calls this function?" "What connects these two concepts?" "What are the most important nodes in this project?" No vector database. No setup. No config files. The token efficiency number is what got me: 71.5x fewer tokens per query compared to reading raw files. That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases. What it supports: -> Code in 13 programming languages -> PDFs -> Images via Claude Vision -> Markdown files Install in one line: pip install graphify && graphify install Then type /graphify in Claude Code and point it at anything. Karpathy asked. Someone delivered in 48 hours. That is the pace of 2026. Open Source. Free. Follow must for more
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@MindOS_Lisa: https://x.com/MindOS_Lisa/status/2052766937931965

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The author introduces a personal knowledge management system built on Karpathy's knowledge base logic, combining Obsidian, Claude Code, and LLM Wiki to achieve a complete workflow covering automatic content ingestion, card generation, and article output. The article distinguishes between three levels — content, information, and knowledge — and provides concrete setup steps.