head to head · open source

langchain vs graphify

langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. graphify has 141,064 stars, 13,483 forks, 1,350 open issues and last shipped yesterday. langchain leads on adoption by 6% (148,892 vs 141,064 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.

langchain ★ 149K graphify ★ 141K category AI & Machine Learning

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Side by side

langchain graphify
GitHub stars ★ 149K ★ 141K
License MIT Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 13K
Self-hosting Yes Yes
Data ownership Your server Your server

pick langchain if

  • You weight community size — 149K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full langchain profile →

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

full graphify profile →

About langchain

The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…

read the full langchain overview →

About graphify

Read this in other languages 🇺🇸 English 🇨🇳 简体中文 🇯🇵 日本語 🇰🇷 한국어 🇩🇪 Deutsch 🇫🇷 Français 🇪🇸 Español 🇮🇳 हिन्दी 🇧🇷 Português 🇷🇺 Русский 🇸🇦 العربية 🇮🇷 فارسی 🇮🇹 Italiano 🇵🇱 Polski 🇳🇱 Nederlands 🇹🇷 Türkçe 🇺🇦 Українська 🇻🇳 Tiếng Việt 🇮🇩 Bahasa Indonesia 🇸🇪 Svenska 🇬🇷 Ελληνικά 🇷🇴 Română 🇨🇿 Čeština 🇫🇮 Suomi 🇩🇰 Dansk 🇳🇴 Norsk 🇭🇺 Magyar 🇹🇭 ภาษาไทย 🇺🇿 Oʻzbekcha 🇹🇼 繁體中文 🇵🇭 Filipino 🇮🇱 עברית Early access to the graphify platform is open before the public v1 launch: app.graphify.com Type /graphify in your AI coding assistant and it maps your entire project (code…

read the full graphify overview →

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Frequently asked questions

Is langchain or graphify more popular?

langchain has 148,892 GitHub stars and graphify has 141,064. 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 (148,892 stars) or its MIT licence terms. Choose graphify if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.