tmc/langchaingo

Health v2 · maintenance only

Adoption not part of the score

9712 stars · 1156 forks observed · 2026-10-11

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Langchaingo is the Go language port of LangChain, providing composable building blocks for writing LLM-powered applications in Go. It offers integrations with providers like OpenAI, Gemini, and Ollama for generation, chains, agents, and retrieval workflows.

Use cases

• build llm apps in go
• create a chatgpt clone in golang
• call openai from go
• use ollama with go
• build rag pipelines in go
• write llm agents in go
• use gemini models from go

When to choose

• you are building LLM-based applications in Go and want composable abstractions
• you need multi-provider LLM support (OpenAI, Gemini, Ollama) behind one API
• you want a LangChain-style ecosystem (chains, agents, embeddings) natively in Go

When to avoid

• you are working in Python or JavaScript where the original LangChain has a larger ecosystem
• you need only a single provider's SDK with no abstraction layer
• you need cutting-edge LangChain features that may lag behind the Python version

Facets

library · maturity active

llm-inference agent-framework rag chatbot prompt-engineering sdk large-language-models artificial-intelligence developer-tools go cross-platform langchain llm golang composable-llm-apps openai ollama gemini ai-agents retrieval-augmented-generation

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