Graphify: A Claude Code Skill That Built a Knowledge Graph of Your Repo — 450k Downloads, 40k Stars in 26 Days

On April 5th, a developer shipped graphify — a Claude Code skill that indexes your entire codebase into a persistent knowledge graph. Type /graphify . and it reads every file, detects communities via the Leiden algorithm, and gives Claude long-term memory of the repo. The key metric: 71x fewer tokens per query vs. reading raw files.

Explosive Adoption

• 26 days after launch: 450k+ PyPI downloads, ~40k GitHub stars
• Peaked at GitHub global rank #2 in its first week
• Spawning Medium articles, YouTube tutorials, and third-party build-ons

Unexpected Use Cases

The creator reports people aren't just using it for code. They're feeding graphify:

• SQL schemas
• Obsidian vaults
• Research paper corpora
• Transcribed meeting recordings
• Whiteboard photos

And querying across all of them with /graphify query "..." — which became the primary command.

What's Missing?

The author is now asking the community: what's broken or missing in your workflow? The repo is actively evolving based on feedback.

Who It's For

Developers using Claude Code who want persistent, low-token-cost context for large codebases or mixed datasets.