head to head · open source

graphify vs codegraph

graphify has 119,686 GitHub stars, 11,570 forks, 1,350 open issues and last shipped 2 days ago. codegraph has 71,514 stars, 4,598 forks, 526 open issues and last shipped 4 days ago. graphify leads on adoption by 67% (119,686 vs 71,514 stars). graphify is written in Python under Apache-2.0; codegraph is written in C under MIT. graphify has attracted 10% as many forks as stars, codegraph 6%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

graphify ★ 120K codegraph ★ 72K category AI & Machine Learning

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Side by side

graphify codegraph
GitHub stars ★ 120K ★ 72K
License Apache-2.0 MIT
Written in Python C
Last push 2026-09-18 2026-09-16
Forks ⑂ 12K ⑂ 4.6K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 120K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick codegraph if

  • You want the codegraph feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches C
  • You evaluated both and codegraph fits your workflow better

full codegraph profile →

About graphify

graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.

read the full graphify overview →

About codegraph

CodeGraph is a pre indexed code knowledge graph that runs locally and wires into AI coding agents — Claude Code, Cursor, Codex, Gemini, OpenCode, AntiGravity, Kiro, GitHub Copilot, and Hermes Agent — so those agents query a semantic map of the codebase instead of reading files one at a time.

read the full codegraph overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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Compare either of these against the rest of the AI Development Platforms field.

graphify vs Dify graphify vs langchain graphify vs ponytail graphify vs generative-ai-for-beginners graphify vs claude-mem graphify vs ragflow graphify vs PaddleOCR graphify vs Agent-Reach graphify vs headroom graphify vs Mem0 graphify vs daily_stock_analysis graphify vs LiteLLM

Frequently asked questions

Is graphify or codegraph more popular?

graphify has 119,686 GitHub stars and codegraph has 71,514. graphify has the larger community by that measure.

Are graphify and codegraph free?

Both are open source. graphify is licensed under Apache-2.0 and codegraph under MIT. Neither carries a licence fee.

What is the difference between graphify and codegraph?

graphify is written in Python and codegraph in C. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, graphify or codegraph?

Choose graphify if you want the larger community (119,686 stars) or its Apache-2.0 licence terms. Choose codegraph if its feature set, stack or MIT licence fits better. Both are self-hostable.