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.
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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
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
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 →
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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.