AutoGen用于构建协作解决任务的多智能体LLM应用的开源Python框架。

4.5 (4)

审阅者 Daniel Nikulshyn·更新 2026年7月

概览

AutoGen 是由 Microsoft Research 开发的开源编程框架，用于创建代理式 AI 系统。它让开发者定义多个 LLM 驱动的 Agent，能够对话、推理、调用工具、执行代码并相互协调，以完成复杂的工作流。该框架支持灵活的对话模式、可自定义的代理角色，并可与人类输入、外部 API 以及代码执行环境集成。它常用于原型化研究助手、自动化编码工作流、数据分析流水线以及其他以任务为导向的代理系统。 AutoGen 以 Python 库的形式发布，拥有活跃的社区开发、文档和示例，使其成为实验和部署多智能体应用的实用基础。

主要功能

多智能体对话编排
可定制的智能体角色和个性
代码执行和工具调用
支持人机协作
与主要LLM提供商兼容
可扩展的Python API

价格

模型: Freemium
分类: Agent Development
评分: 4.5 / 5 (4)

优点 & 缺点

优点

免费开源
灵活的多智能体对话模式
支持工具使用和代码执行
由微软研究院支持，社区活跃

缺点

需要Python和LLM API知识
文档可能滞后于快速更新
运行多智能体循环可能会产生高Token成本
没有为非开发者提供的内置图形界面

评测

4.5

4 个评分的平均值。

登录以留下评测。

Gunnar Eriksson

Apr 5, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on code execution and tool calling, and free and open source caught me off guard. Requires Python and LLM API knowledge is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Omar Haddad

Feb 25, 2026

Solid for our team

We rolled this out across the team last quarter and flexible multi-agent conversation patterns. Compatible with major LLM providers fits neatly into how we already work, and multi-agent conversation orchestration removed a step we used to do by hand. but it has held up under daily use.

Jamal Carter

Jan 29, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: human-in-the-loop support and backed by Microsoft Research with active community. On balance the feature set — especially compatible with major LLM providers — justifies the 5 stars for our use case.

Linda Petersen

Aug 24, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on compatible with major LLM providers, and flexible multi-agent conversation patterns caught me off guard. No built-in GUI for non-developers is why this isn't a perfect score, still, I'd recommend giving it a real trial.