head to head · open source

langchain vs LLM Gateway

langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. LLM Gateway has 1,722 stars, 200 forks, 77 open issues and last shipped yesterday. langchain leads on adoption by 8,546% (148,892 vs 1,722 stars). langchain is written in Python under MIT; LLM Gateway is written in TypeScript under a custom or non-standard licence. langchain has attracted 17% as many forks as stars, LLM Gateway 12%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, anthropic, enterprise), 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 LLM Gateway ★ 1.7K category AI & Machine Learning

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Side by side

langchain LLM Gateway
GitHub stars ★ 149K ★ 1.7K
License MIT Custom / other
Written in Python TypeScript
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 200
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 LLM Gateway if

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

full LLM Gateway 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 LLM Gateway

LLM Gateway LLM Gateway is an open source API gateway for Large Language Models (LLMs). It acts as a middleware between your applications and various LLM providers, allowing you to: Route requests to multiple LLM providers (OpenAI, Anthropic, Google Vertex AI, and others) Manage API keys for different providers in one place Track token usage and costs across all your LLM interactions Analyze performance metrics to optimize your LLM usage Features Unified API Interface : Compatible with the OpenAI API format for seamless migration Usage Analytics : Track requests, tokens used, response times, and costs Multi…

read the full LLM Gateway overview →

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Frequently asked questions

Is langchain or LLM Gateway more popular?

langchain has 148,892 GitHub stars and LLM Gateway has 1,722. langchain has the larger community by that measure.

Are langchain and LLM Gateway free?

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

What is the difference between langchain and LLM Gateway?

langchain is written in Python and LLM Gateway 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 LLM Gateway?

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