Microsoft Agent Framework vs AutoGen
Side-by-side comparison of two AI agent tools
M
Microsoft Agent Frameworkopen-source
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
AutoGenfree
A programming framework for agentic AI
Metrics
| Microsoft Agent Framework | AutoGen | |
|---|---|---|
| Stars | 13.9k | 61.2k |
| Star velocity /mo | 1.2k | 793.6363636363636 |
| Commits (90d) | 910 | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.8076639330110338 | 0.3150464698899375 |
Pros
- +支持多代理协作，可以创建复杂的 AI 交互系统
- +提供 AutoGen Studio 无代码界面，降低使用门槛
- +强大的模型集成能力，支持多种主流大语言模型和 MCP 服务器
Cons
- -需要 Python 3.10 或更高版本，对环境有一定要求
- -项目处于维护模式，新用户被建议使用 Microsoft Agent Framework
- -从 v0.2 升级需要遵循迁移指南，存在向后兼容性问题
Use Cases
- •构建多代理对话系统，让不同角色的 AI 代理协作解决复杂问题
- •创建自动化工作流程，通过代理协作完成数据分析、内容生成等任务
- •开发具有网络浏览能力的智能助手，结合 MCP 服务器实现外部工具集成
FAQ
- Which is more popular, Microsoft Agent Framework or AutoGen?
- AutoGen has more GitHub stars (61,243 vs 13,883).
- Which is more actively developed, Microsoft Agent Framework or AutoGen?
- Microsoft Agent Framework had more commits in the last 90 days (910 vs 0).
- Should I use Microsoft Agent Framework or AutoGen?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.