Muhammad Ayan on X: "🚨 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 h
Quick Answer
Graphify, a new tool developed just 48 hours after Andrej Karpathy's LLM Knowledge Bases workflow, generates a full knowledge graph from any folder with one command.
Quick Take
Graphify, a new tool developed just 48 hours after Andrej Karpathy's LLM Knowledge Bases workflow, generates a full knowledge graph from any folder with one command. It supports 13 programming languages and offers significant token efficiency, using 71.5x fewer tokens per query compared to raw file reading, revolutionizing AI interaction with codebases.
Key Points
- Generates navigable knowledge graphs from any folder with a single command.
- Supports code in 13 programming languages, PDFs, images, and Markdown files.
- Offers plain English Q&A over entire codebases or research folders.
- Achieves 71.5x fewer tokens per query compared to traditional methods.
- Open source and free to use, installable with one line of code.
📖 Reader Mode
~1 min read🚨 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.
— Originally published at x.com
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