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LangChainGo

Stale
GitHub Go MIT

Description

LangChainGo is the Go implementation of LangChain, providing the easiest way to write LLM-based programs in Go with chains, agents, and tool integrations.

Key Features

  • Go implementation of LangChain — build LLM applications using Go's composability and performance
  • Supports multiple LLM providers including OpenAI, Anthropic, Google, and local models via Ollama
  • Chain, agent, and tool abstractions for building complex LLM pipelines
  • Active community with Discord support and growing contributor base
  • Dev Containers and GitHub Codespaces support for instant development environments
  • Well-documented API reference and example library for quick onboarding

Use Cases

💡 Building Go-native LLM applications and AI services
💡 Creating conversational AI agents with tool use in Go backend systems
💡 RAG (Retrieval-Augmented Generation) applications using Go's concurrency model
💡 Integrating LLM capabilities into existing Go microservices
💡 Prototyping AI features quickly with LangChain's familiar abstractions in Go

Strengths & Limitations

✅ Strengths

  • • High community interest (9.6k stars)
  • • Permissive open-source license (MIT)
  • • Established track record (3 years in production)

⚠️ Limitations

  • • No updates in over 7 months

Tags

langchain agent-framework llm golang

Categories

🤖 Agent Framework

Quick Start

go get github.com/tmc/langchaingo
# See ./examples for usage
# Set OPENAI_API_KEY and run go run .
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