head to head · open source

langchain vs Multica

langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. Multica has 54,637 stars, 7,186 forks, 1,538 open issues and last shipped yesterday. langchain leads on adoption by 173% (148,892 vs 54,637 stars). langchain is written in Python under MIT; Multica is written in Go under a custom or non-standard licence. langchain has attracted 17% as many forks as stars, Multica 13%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee.

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 Multica ★ 55K category AI & Machine Learning

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Side by side

langchain Multica
GitHub stars ★ 149K ★ 55K
License MIT Custom / other
Written in Python Go
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 7.2K
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 Multica if

  • You want the Multica feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches Go
  • You evaluated both and Multica fits your workflow better

full Multica 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 Multica

Multica Agents that show up on the board. Multica is an open source workspace where you assign work to AI coding agents the way you'd assign it to a teammate — they pick up the issue, report progress, raise blockers, and hand it back for review. Self hostable, works with 26 agent CLIs, no lock in. Website · Docs · Quickstart · Download · Vision · Self Hosting · Discord · X English 简体中文 Your next 10 hires won't be human. What is Multica? You already run Claude Code, Codex, and three other agents. Each one lives in its own terminal tab, forgets everything when the session ends, and leaves you re explaining the…

read the full Multica overview →

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Frequently asked questions

Is langchain or Multica more popular?

langchain has 148,892 GitHub stars and Multica has 54,637. langchain has the larger community by that measure.

Are langchain and Multica free?

Both are open source. langchain is licensed under MIT, and Multica has no licence declared in this registry. Both are free to self-host.

What is the difference between langchain and Multica?

langchain is written in Python and Multica in Go. 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 Multica?

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