head to head · open source

langchain vs MonkeyCode

langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. MonkeyCode has 4,927 stars, 752 forks, 341 open issues and last shipped yesterday. langchain leads on adoption by 2,922% (148,892 vs 4,927 stars). langchain is written in Python under MIT; MonkeyCode is written in TypeScript under AGPL-3.0. langchain has attracted 17% as many forks as stars, MonkeyCode 15%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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 MonkeyCode ★ 4.9K category AI & Machine Learning

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Side by side

langchain MonkeyCode
GitHub stars ★ 149K ★ 4.9K
License MIT AGPL-3.0
Written in Python TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 752
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 MonkeyCode if

  • You want the MonkeyCode feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and MonkeyCode fits your workflow better

full MonkeyCode 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 MonkeyCode

MonkeyCode Try Online · Self Hosted Deployment · Discord · Community Gallery · 中文 What Is MonkeyCode? MonkeyCode is an open source enterprise grade AI development platform with built in development environment management, AI model management, AI task management, and project requirement management. Unlike typical vibe coding tools, MonkeyCode is designed as an AI assistant for professional engineering teams. You can deploy MonkeyCode inside your enterprise network and share it with your R&D team, so developers can start development tasks quickly while engineering leaders manage AI development workflows centrally…

read the full MonkeyCode overview →

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Frequently asked questions

Is langchain or MonkeyCode more popular?

langchain has 148,892 GitHub stars and MonkeyCode has 4,927. langchain has the larger community by that measure.

Are langchain and MonkeyCode free?

Both are open source. langchain is licensed under MIT and MonkeyCode under AGPL-3.0. Neither carries a licence fee.

What is the difference between langchain and MonkeyCode?

langchain is written in Python and MonkeyCode in TypeScript. 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 MonkeyCode?

Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose MonkeyCode if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.