对话界面、知识库与智能体MITPython

LangChain

The most widely used framework for building LLM applications.

Star 数
147.8K
Fork 数
24.8K
未关闭 Issue
647
最近提交
2026-10-15

数据来自 GitHub API · 更新于 2026-10-15

LangChain 是什么?

LangChain provides standard interfaces for models, retrievers, tools and agents, plus hundreds of integrations. LangGraph, its companion library, adds stateful agent orchestration.

主要功能

  • Unified model and tool interfaces
  • Hundreds of integrations
  • Agents via LangGraph
  • Python and JavaScript versions

系统要求

平台
Windows · macOS · Linux
Python
3.9+

如何安装 LangChain

根据项目 README 整理。开源项目更新很快,请以 GitHub 页面上的最新说明为准。

pip

  1. 1
    Install the core package and a provider integration.
    pip install -U langchain langchain-openai

优势

  • Largest ecosystem
  • Good for prototyping fast

不足

  • Abstractions can feel heavy

LangChain 替代品对比

软件Star 数许可证平台显存
LangChain

The most widely used framework for building LLM applications.

147.8KMIT—
LlamaIndex

Data framework for connecting LLMs to your documents.

52.5KMIT—
CrewAI

Python framework for orchestrating role-playing, collaborative AI agents.

59.7KMIT—
AutoGen

Microsoft’s framework for building multi-agent AI applications.

61.4KCC-BY-4.0—
Open WebUI

Self-hosted ChatGPT-style interface for Ollama and OpenAI-compatible APIs.

155.7KOpen WebUI License (BSD-3-Clause based)—
LibreChat

Open-source ChatGPT clone supporting every major AI provider.

45.7KMIT—

常见问题

LangChain 免费吗?

是的——LangChain 是开源软件,采用 MIT 许可证。商用前请确认软件及模型权重的许可条款。

LangChain 支持 Windows、Mac 和 Linux 吗?

LangChain 支持:Windows, macOS, Linux。

如何安装 LangChain?

1. Install the core package and a provider integration.

LangChain 有哪些好的替代品?

常见替代品包括 LlamaIndex, CrewAI, AutoGen, Open WebUI,详见本页对比表。