Semantic Kernel

ELI5 — The Vibe Check

Semantic Kernel is Microsoft's SDK for building AI agents and plugins. It's like a universal adapter between your code and any AI model — write your logic once, and it works with OpenAI, Azure, Hugging Face, or whatever model you want. It's the middleware that lets enterprises build AI features without getting locked into one provider.

Real Talk

An open-source SDK by Microsoft for integrating LLMs into applications using a plugin-based architecture. It provides abstractions for prompt management, function calling, memory, and planning, supporting C#, Python, and Java. It enables building AI agents that combine AI capabilities with existing code and APIs.

When You'll Hear This

"Semantic Kernel lets us swap between OpenAI and Azure OpenAI models with one config change." / "We built our AI pipeline with Semantic Kernel plugins — each skill is composable and testable."