#121 · Primary category： LLM Application Frameworks
langchaingo
LangChain for Go, the easiest way to write LLM-based programs in Go
Project last updated：01/11/26
GitHub Stars
9.6K
Forks
1.1K
Contributors
185
License
MIT
Why we included this project
Go teams that want LLM features without maintaining several provider-specific clients get a single interface here, and switching between OpenAI, Gemini, or Ollama means changing a few lines rather than rewriting the integration layer. Beyond plain completions, the library includes building blocks for retrieval-augmented generation, chains, agents, and tool calling, which are the parts many projects end up writing by hand. The examples and package documentation make it easy to try on a real codebase, and an active community helps when you hit the rough edges of an evolving framework. It's a solid foundation for Go developers who prefer composable LLM plumbing over hand-rolled HTTP calls.
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