
graphify
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw). Turn any folder of code, docs, papers, or images into a queryable knowledge graph
The Lens
Graphify reads your entire codebase, docs, PDFs, and even screenshots, then builds a knowledge graph you can actually navigate. It parses 19 languages via tree-sitter for code and uses an LLM for everything else. The result is an interactive HTML visualization showing how your architecture, concepts, and files connect.
The first extraction pass costs real API tokens (Claude or GPT), proportional to your corpus size. After that, incremental updates via SHA256 caching mean re-runs only process changed files. The 71x token compression claim is real for subsequent queries, not the initial scan. Runs as a /graphify slash command inside Claude Code, Codex, or OpenCode.
For developers onboarding to large or unfamiliar codebases: this is genuinely useful. Architecture reviews, cross-referencing code with design docs, understanding how a monorepo fits together. Exports to Neo4j, Obsidian vaults, or standalone wikis.
The catch: it is a plugin, not a standalone tool. You need Claude Code or a compatible AI assistant as the runtime. Quality of inferred relationships depends on the underlying LLM, and the initial scan of a large repo is not cheap.
Free vs Self-Hosted vs Paid
fully freeFree Tier
Fully free under MIT. No paid tier or hosted service.
Self-Hosted
pip install, then run as a slash command. No server or database needed. All local.
Paid
None for the tool. You pay for LLM API tokens during extraction passes.
Tool is free. LLM API costs for extraction depend on corpus size.
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License: MIT License
Use freely, including commercial. Just keep the license.
Commercial use: ✓ Yes
About
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- Safi (User)
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