Turns codebases into queryable graphs using ASTs, no vector stores, built for AI coding assistants.
The hype outruns what you'd actually get.
Teams using Claude Code or Cursor who need deep codebase search without vector embeddings.
Manual grep/search, paid tools like Sourcegraph or GitHub Code Search.
662 open issues, no release versions, untested in production, relies on unstable AI tool integrations.
Run the CLI on a small private repo and check if it finds a function call you know exists.
The numbers
Maintainers describe it as: “Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.”
graphify, in short
- Should a small team use graphify?
- Skip for now. The hype outruns what you'd actually get. Teams using Claude Code or Cursor who need deep codebase search without vector embeddings.
- What does graphify actually do?
- Turns codebases into queryable graphs using ASTs, no vector stores, built for AI coding assistants.
- What does graphify replace?
- Manual grep/search, paid tools like Sourcegraph or GitHub Code Search.
- What is the downside of graphify?
- 662 open issues, no release versions, untested in production, relies on unstable AI tool integrations.
- Can graphify be used in a commercial product?
- Its licence is Apache-2.0, which is permissive and generally fine for commercial use. Confirm against the LICENSE file in the repository.
Weighed against
Turns any website into clean markdown an LLM can read, including pages that need JavaScript to render.
A Python scraping library that adapts when a site changes its markup, instead of breaking silently.
AI-powered desktop assistant
CLI tool for AI agents to search internet platforms