Frequently asked questions

Graphify is an open-source (MIT) skill that turns your codebase into an on-device knowledge graph your AI coding assistant queries instead of grepping through files. It's a Python package (graphifyy on PyPI) plus a /graphify skill and an MCP server; the code repository is github.com/safishamsi/graphify. It is not affiliated with other projects named Graphify.

RAG retrieves fuzzy top-k chunks by embedding similarity and hopes the model reconnects them. Graphify builds a real graph and traverses it, so every answer is an explicit path with file:line citations — no embeddings and no vector store. It's the difference between guessing which chunks are relevant and following the actual call and import edges.

Yes. The core tool is open source under the MIT license — no account, no API keys, free to use. There is a separate early-access enterprise layer (verification at the merge gate, graph-aware review, and an engineering digest) for teams, self-hosted in your own infrastructure.

17, including Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, and Aider. Running graphify install registers the /graphify skill with the assistants it detects, and the graph is also served over an MCP server that any MCP client can query.

No. Graphify parses code locally with tree-sitter — deterministic AST extraction, no model call, no telemetry, nothing uploaded. Non-code files (docs, PDFs, SQL schemas, Terraform) are optionally read by the model backend you configure, which can be a local model like Ollama to keep everything on-device.

36, parsed on-device with bundled tree-sitter grammars — Python, TypeScript, JavaScript, Go, Rust, Java, C, C++, C#, Ruby, Kotlin, Swift, PHP, and many more, including variants like JSX and TSX and infrastructure languages like Terraform (HCL).

Install the Python package with `uv tool install graphifyy`, run `graphify install` to register the skill with your assistant, then type `/graphify .` inside the assistant to build the graph. It takes about five minutes and runs entirely on your machine.

The PyPI package is graphifyy, spelled with a double y: `uv tool install graphifyy`. Other graphify* packages on PyPI are unrelated to this project. The GitHub repository is github.com/safishamsi/graphify and the website is graphify.com.

Two ways, same graph: the CLI (graphify query, graphify path, graphify explain, graphify prs) or the MCP server, which exposes 8 tools including query_graph, get_node, get_neighbors, and shortest_path.

Every edge in the graph carries a provenance tag. EXTRACTED means it came straight from the tree-sitter AST (a real call, import, or definition). INFERRED means a model connected it — for example a doc page to the code it describes. AMBIGUOUS means the evidence couldn't be fully resolved, like dynamic dispatch: Graphify keeps the edge but flags it as uncertain.