AutoGen vs Semantic Kernel
Side-by-side comparison of two AI agent tools
Short answer
- AutoGen is growing faster: +782 GitHub stars in the last 30 days vs +165 for Semantic Kernel.
- Pick AutoGen for: a programming framework for agentic AI. Pick Semantic Kernel for: integrate cutting-edge LLM technology quickly and easily into your apps.
From GitHub data refreshed daily.
AutoGenfree
A programming framework for agentic AI
Semantic Kernelopen-source
Integrate cutting-edge LLM technology quickly and easily into your apps
Metrics
| AutoGen | Semantic Kernel | |
|---|---|---|
| Stars | 61.2k | 28.6k |
| Star velocity /mo | 781.8947368421053 | 165 |
| Commits (90d) | 0 | 59 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | — | 287.7K |
| Overall score | 0.3844257679182666 | 0.661646916269183 |
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
- +Model-agnostic design supports multiple LLM providers including OpenAI, Azure OpenAI, Hugging Face, and local models
- +Enterprise-ready with built-in observability, security features, and stable APIs for production deployments
- +Multi-language support (Python, .NET, Java) with comprehensive agent orchestration and multi-agent system capabilities
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
- -Requires significant programming knowledge and understanding of AI agent concepts
- -Complex setup and configuration for advanced multi-agent workflows
- -Learning curve for mastering the framework's extensive feature set and architectural patterns
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
- •Building enterprise chatbots and conversational AI applications with reliable LLM integration
- •Creating complex multi-agent systems where specialized AI agents collaborate on business processes
- •Developing AI applications that need flexibility to switch between different LLM providers and deployment environments
FAQ
- Which is more popular, AutoGen or Semantic Kernel?
- AutoGen has more GitHub stars (61,248 vs 28,620).
- Which is more actively developed, AutoGen or Semantic Kernel?
- Semantic Kernel had more commits in the last 90 days (59 vs 0).
- Should I use AutoGen or Semantic Kernel?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.