LangChain Go
LangChain for Go, the easiest way to write LLM-based programs in Go
No commits in 8 months — may not be actively maintained. See maintained alternatives →
open-sourceagent-frameworks
9.7k
Stars
+117
Stars/month
0
Commits (90d)
0
Releases (6m)
Star Growth
+744 (8.3%)
Overview
LangChain Go is the Go implementation of LangChain for building composable LLM applications. The repository includes packages for agents, chains, callbacks, memory, prompts, tools, document loaders, embeddings, text splitting, and vector stores.
Deep Analysis
Key Differentiator
It brings LangChain's composable LLM application model to the Go ecosystem.
⚡ Capabilities
- • Build LLM-based applications in Go
- • Create agent and chain workflows
- • Add memory, prompts, callbacks, and output parsers
- • Load, split, embed, and store documents
- • Connect LLM workflows with tools
🔗 Integrations
OpenAIGeminiOllama
✓ Best For
- ✓ Go developers building LLM applications
- ✓ Teams implementing LangChain-style agents and workflows in Go
✗ Not Ideal For
- ✗ Non-technical users seeking a no-code agent builder
- ✗ Users looking for a finished consumer chatbot
⚠ Known Limitations
- ⚠ Requires Go development
Pros
- + Native Go implementation with idiomatic patterns and no Python dependencies
- + Multi-provider support with consistent API across OpenAI, Gemini, Ollama and other LLM services
- + Strong community and documentation including Discord support, comprehensive docs site, and API reference
Cons
- - Smaller ecosystem compared to the Python LangChain with fewer community plugins and extensions
- - Go-specific limitation reduces cross-team collaboration in polyglot environments
- - Less mature feature set compared to the original Python implementation
Use Cases
- • Go-based web services and APIs that need to integrate ChatGPT-like completion functionality
- • Enterprise Go applications requiring LLM capabilities while maintaining existing Go infrastructure
- • Building chatbots and conversational interfaces within Go microservices architectures
Getting Started
1. Install via `go get github.com/tmc/langchaingo` 2. Set up your LLM provider API key (e.g., OPENAI_API_KEY environment variable) 3. Import the package and use `llms.GenerateFromSinglePrompt()` with your chosen provider to make your first completion call
Alternatives
E
Eino
The ultimate LLM/AI application development framework in Go.
A
Agency
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
L
Langchainrb
Build LLM-powered applications in Ruby
L
LangChain Rust
🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust
Works with LangChain Go
Tools that integrate with LangChain Go, often used together in the same stack.
Compare LangChain Go
Maintain LangChain Go?
Show your live rank in your README, or put LangChain Go in front of every visitor to AgentoolRank.