Learn how to build AI agents in C# with Semantic Kernel. Step-by-step .NET tutorial with runnable code, plugins, tool calling and best practices. Start building today. Building AI agents in C# used to mean gluing together HTTP calls, JSON schemas and a lot of hopeful string parsing. That era is over. With Microsoft Semantic Kernel , .NET developers now have a first-class agent framework that handles tool calling, memory, planning and multi-agent collaboration — all with strongly typed C# code, dependency injection and the async patterns you already know. In this tutorial you'll learn how to build autonomous, task-solving AI agents in C# from scratch, understand why each piece exists, and avoid the pitfalls that burn most teams on their first production deployment. What Is an AI Agent (and How Is It Different From a Chatbot)? A chatbot answers. An agent acts . The practical difference comes down to one loop: Goal — the agent receives a task, not just a message (...
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