Semantic Kernel
Microsoft's enterprise SDK for AI orchestration
Our Take
Semantic Kernel is the enterprise pick, especially for .NET shops already on Azure. Multi-language support (C#, Python, Java) is unique in this space. The plugin architecture maps well to enterprise integration patterns. Microsoft is building a unified Microsoft Agent Framework that draws from both AutoGen and Semantic Kernel (RC5 released March 2026). Unlike AutoGen, Semantic Kernel continues active development with frequent releases. Evaluate the Microsoft Agent Framework for greenfield projects, but SK remains a solid choice for teams already invested. Less suited for rapid prototyping — this is for teams building AI into existing enterprise software.
Pros
- + Multi-language: C#, Python, Java
- + Deep Azure ecosystem integration
- + Enterprise-grade, Microsoft-backed
- + Mature plugin architecture
- + Strong process orchestration
Cons
- - Microsoft Agent Framework may eventually supersede it
- - Heavier than Python-only frameworks
- - Azure-centric documentation
- - Less community buzz in AI-native circles
Details
- Pricing Model
- open-source
- Starting Price
- $0
- Self-Hosted
- Yes
- Cloud Hosted
- No
- Founded
- 2023
- Repository
- GitHub →
Best For
- • Enterprise AI integration
- • .NET and Java ecosystems
- • Azure-native workflows
- • Plugin-based AI systems
Integrations
Azure OpenAI OpenAI Hugging Face Azure AI Search .NET Python Java
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