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.
📖 Read the full source: r/ClaudeAI
👀 See Also
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The Jan team released Jan-Code-4B, a 4B parameter code-tuned model based on Jan-v3-4B-base-instruct. It's designed as a drop-in replacement for Haiku in Claude Code, offering improved coding assistance while running locally.
Open source PR review agent PrixAI detects all 10/10 planted bugs at 6x lower cost than CodeRabbit
A Reddit user built PrixAI, an open source PR review agent that uses local/cheap inference models to match CodeRabbit's features at 6x less cost, detecting all 10 intentionally planted issues in a test PR.
Constrails: Early-Alpha External Governance Layer for AI Agents
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