head to head · open source
langchain vs graphify
langchain has 146,538 GitHub stars, 24,504 forks, 492 open issues and last shipped yesterday. graphify has 118,991 stars, 11,505 forks, 1,350 open issues and last shipped 2 days ago. langchain leads on adoption by 23% (146,538 vs 118,991 stars). langchain is written in Python under MIT; graphify is written in Python under Apache-2.0. langchain has attracted 17% as many forks as stars, graphify 10%. langchain 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
| langchain | graphify | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 119K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-16 |
| Forks | ⑂ 25K | ⑂ 12K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 147K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick graphify if
- You want the graphify feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and graphify fits your workflow better
About langchain
LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.
read the full langchain overview →
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 →
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Frequently asked questions
Is langchain or graphify more popular?
langchain has 146,538 GitHub stars and graphify has 118,991. langchain has the larger community by that measure.
Are langchain and graphify free?
Both are open source. langchain is licensed under MIT and graphify under Apache-2.0. Neither carries a licence fee.
What is the difference between langchain and graphify?
langchain is written in Python and graphify 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, langchain or graphify?
Choose langchain if you want the larger community (146,538 stars) or its MIT licence terms. Choose graphify if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.