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Semantic Kernel

Agent Development
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An open-source SDK from Microsoft for integrating LLMs into applications, with a focus on enterprise-grade orchestration in C#, Python, and Java.

Overview

Semantic Kernel is the Microsoft approach to bringing LLM orchestration into existing enterprise codebases. Its appeal is pragmatic: first-class C# and Java support, plugin and function-calling abstractions, and a design meant to slot into apps that already exist rather than greenfield Python scripts. For .NET-heavy enterprises it is often the path of least resistance. The trade-off is a smaller ecosystem than the Python-first frameworks and a roadmap that tracks the broader Microsoft Agent Framework direction. The Semantic Kernel README now reads "Semantic Kernel is now Microsoft Agent Framework!" — new work should start on Microsoft Agent Framework, the production-ready successor.

Pros & Cons

Pros

  • First-class C#, Python, and Java support
  • Designed to fit into existing enterprise apps
  • Backed and maintained by Microsoft
  • Clean plugin and function abstractions

Cons

  • Smaller ecosystem than Python-first frameworks
  • Roadmap is converging with Microsoft Agent Framework
  • Less suited to rapid Python prototyping

Workflows that use Semantic Kernel

Get a new AI workflow each week — many feature Semantic Kernel and other tools in this category.

Compare Semantic Kernel

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Pricing

Open-source (MIT), free. Costs come from the model APIs you call.

Ideal For

.NET and Java enterprise development teamsOrgs embedding AI into existing applicationsMicrosoft-ecosystem shops
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