Semantic Kernel

Microsoft's open-source AI orchestration SDK for building AI agents and copilot experiences in C#, Python, and Java. Semantic Kernel provides abstractions for connecting LLMs from OpenAI and Azure OpenAI with native code functions, memory stores, and planners that let AI models invoke application logic. The Planner component lets an AI model decompose a goal into a sequence of function calls, enabling multi-step agentic workflows where the model can search a database, call an API, write a file, and summarize results in a single user request. Memory integration supports vector database-backed semantic memory retrieval. A Process Framework enables designing multi-agent systems with defined coordination patterns. Used heavily within Microsoft's own products and deeply integrated with Azure AI services. Open source on GitHub under MIT license. Popular with .NET development teams and enterprises building copilots on the Azure platform.

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