head to head · open source

graphify vs langgraph

graphify has 118,991 GitHub stars, 11,505 forks, 1,350 open issues and last shipped 2 days ago. langgraph has 41,841 stars, 7,065 forks, 786 open issues and last shipped yesterday. graphify leads on adoption by 184% (118,991 vs 41,841 stars). graphify is written in Python under Apache-2.0; langgraph is written in Python under MIT. graphify has attracted 10% as many forks as stars, langgraph 17%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agents, gemini), so they are genuine substitutes rather than adjacent tools.

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 ★ 119K langgraph ★ 42K category AI & Machine Learning

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Side by side

graphify langgraph
GitHub stars ★ 119K ★ 42K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-17
Forks ⑂ 12K ⑂ 7.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 119K 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 langgraph if

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

full langgraph 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 langgraph

LangGraph is a low level Python orchestration framework for building stateful, long running agents, aimed at developers and platform teams who need durable execution, human in the loop control, and persistent memory instead of a turnkey agent application.

read the full langgraph overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K 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 langgraph more popular?

graphify has 118,991 GitHub stars and langgraph has 41,841. graphify has the larger community by that measure.

Are graphify and langgraph free?

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

What is the difference between graphify and langgraph?

graphify is written in Python and langgraph in Python. 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 langgraph?

Choose graphify if you want the larger community (118,991 stars) or its Apache-2.0 licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.