Microsoft Semantic Kernel: the enterprise SDK for LLM orchestration
In one sentence Microsoft open-sources Semantic Kernel, a C#/Python/Java SDK for integrating LLMs into enterprise apps. Introduces 'skills' (reusable AI functions) and 'planners' (auto-chaining toward a goal). Becomes Microsoft's standard AI orchestration layer for Copilot builds.
Microsoft releases Semantic Kernel, a tool for developers who want to add artificial intelligence to their applications without reinventing the wheel every time.
The basic idea: you define "skills", reusable AI functions (e.g. "summarize this text", "search for information", "write an email"), and then a component called the "planner" automatically combines them to reach a goal given by the user.
If you want to build an enterprise assistant that replies to emails, pulls data from a database, and generates reports, Semantic Kernel gives you the building blocks ready to use. You don't need to write the orchestration logic from scratch.
Microsoft uses it internally to build their own Copilots (Teams, Office, Azure) and makes it available in three languages: C# for the .NET enterprise world, Python for data scientists and researchers, Java for large organizations. Today it has become the silent foundation of much of Microsoft-based enterprise AI.
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