Radar / AI coding tools / Graphify
Graphify: turn any codebase into a queryable knowledge graph for your coding agent

In today's Spotlight · Picked by 3 of 4 modelsMaps a project's code, documents and images into a searchable web of connections, so AI assistants stop re-reading every file.Like a library catalog replacing a search through every shelf
Open-source CLI plus agent skill that builds a traversable knowledge graph of code, docs, PDFs, and images so assistants query the graph instead of re-reading files.
Why it matters
Deterministic local tree-sitter parsing with every edge tagged EXTRACTED/INFERRED/AMBIGUOUS — an honest, auditable graph — plus one-command installs across 17 coding assistants.
What you could build with it
A developer onboarding onto a legacy monolith could run the /graphify skill on the repo and ask structural questions like 'where is auth enforced?' to get traceable answers in minutes instead of days of grepping; a consultancy could productize this as a one-day codebase-x-ray service.
Does it hold up?
Genuinely useful at scale — 120k+ stars and millions of PyPI downloads back the claim for large codebases; best on repos with 500+ files where graph-building overhead pays off, and worth a full rebuild before trusting doc-derived edges.
Built with Graphify
- Graphifyclaudelog · Listing describing tree-sitter AST parsing plus a call-graph pass, no vector store, and persistent graph.json reuse across sessions.
- Code Knowledge Graph Tools for AI Coding Agentsai.dosa.dev · Verified-facts comparison (120k+ stars, Apache 2.0) with honest limitations: typosquat risk on the graphifyy PyPI name and token cost of the semantic pass.
- How to install graphify so Claude Code queries a knowledge graph instead of greppingailetter.ai.kr · Step-by-step install and PreToolUse-hook setup so Claude Code checks the graph before reaching for grep.
Learn more
First spotted on github: source.
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