langchaingo and langchain-go

These are competitors: tmc/langchaingo is the official, community-backed Go implementation of LangChain with thousands of stars, while zhucl121/langchain-go is an alternative third-party implementation attempting to provide similar LangChain/LangGraph functionality for Go developers.

langchaingo
53
Established
langchain-go
26
Experimental
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 10/25
Adoption 5/25
Maturity 11/25
Community 0/25
Stars: 8,836
Forks: 1,055
Downloads:
Commits (30d): 0
Language: Go
License: MIT
Stars: 10
Forks:
Downloads:
Commits (30d): 0
Language: Go
License: MIT
No Package No Dependents
No Package No Dependents

About langchaingo

tmc/langchaingo

LangChain for Go, the easiest way to write LLM-based programs in Go

This project helps Go developers build sophisticated applications that use large language models (LLMs). It allows you to feed prompts or data into various LLMs and receive generated text, enabling features like question answering, content creation, or summarization. The target user is a software developer proficient in Go who wants to integrate AI capabilities into their applications.

Go-development AI-integration LLM-application-development natural-language-processing software-engineering

About langchain-go

zhucl121/langchain-go

LangChain-Go 是 [LangChain](https://github.com/langchain-ai/langchain) 和 [LangGraph](https://github.com/langchain-ai/langgraph) 的完整 Go 语言实现,针对 Go 生态优化,提供高性能、类型安全的 AI 应用开发体验。

This project offers a comprehensive set of tools for Go developers to build advanced AI applications. It allows you to integrate large language models (LLMs) like OpenAI, Claude, or Gemini into your Go programs. You can feed your own data from various sources (like GitHub, Confluence, or databases) into these models and create sophisticated AI agents that can perform tasks, collaborate, and learn over time. This is for software developers and AI engineers who program in Go and want to build intelligent applications.

AI-development Go-programming LLM-integration data-retrieval-augmented-generation multi-agent-systems

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