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graphify-rs

Build queryable knowledge graphs from code and documents

Converts codebases, papers, notes, and documents into persistent, queryable knowledge graphs with community detection and interactive visualizations. Eliminates re-reading entire projects by storing relationships across sessions with an honest audit trail of extracted versus inferred facts. Exports to JSON, HTML, Obsidian, and Neo4j formats, and serves graph queries to coding agents through a built-in MCP server.
npx skills add TtTRz/graphify-rs --all -g -y

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Frequently Asked Questions

FAQPage Schema
How to install graphify-rs?โ–ผ

Run `npx skills add TtTRz/graphify-rs --all -g -y` in your terminal to install this skill globally for your coding agent.

What does graphify-rs do?โ–ผ

It turns any folder of code, docs, papers, or notes into a structured knowledge graph you can query, visualize, and explore. It detects communities, finds hidden cross-document connections, and labels every relationship as extracted, inferred, or ambiguous.

Does graphify-rs need an API key?โ–ผ

No. Running `graphify-rs build --no-llm` uses free, fast AST parsing across 22 languages with no API key. An LLM key is only needed for optional semantic extraction of conceptual links.

Does graphify-rs work with Claude Code and other agents?โ–ผ

Yes. It ships a built-in MCP server with 16 query tools and works with Claude Code, Codex, OpenCode, and other agents that support the SKILL.md standard.

How does graphify-rs stay up to date after code changes?โ–ผ

It supports watch mode for automatic rebuilds, git hooks that rebuild after every commit, and incremental change detection that skips unchanged files for fast updates.

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