Special Session | Building the Same AI Agent in 5 Different .NET Frameworks

The best way to build AI Agents in .NET? Should you use Azure OpenAI SDK, Semantic Kernel, Microsoft Agent Framework (MAF), Azure AI Foundry Agents, or Copilot Studio? This architect-grade video breaks down the complete .NET AI Agent landscape and helps you choose the right stack based on architecture, control, scalability, enterprise governance, and use case. In this video, we cover: ✅ Azure OpenAI SDK / RAG (Custom AI agents / DIY architecture) ✅ Semantic Kernel (Copilot architecture / plugins / AI workflows) ✅ Microsoft Agent Framework (MAF) (Enterprise multi-agent systems / orchestration) ✅ Azure AI Foundry Agents (Managed enterprise agent platform) ✅ Copilot Studio (Low-code business copilots) Comparison dimensions: ✔ Agent-native support ✔ Multi-agent capability ✔ Tool / function calling ✔ Memory / state management ✔ Managed hosting ✔ Enterprise governance ✔ Flexibility ✔ Complexity Who should watch: .NET Developers Solution Architects Cloud Architects AI Engineers Azure Architects Enterprise Architects Tech Leads Decision guide: Use Azure OpenAI SDK if: → you need maximum control → you are building custom AI APIs → you are prototyping Use Semantic Kernel if: → you are building copilots → you need plugins/tools/workflows Use Microsoft Agent Framework if: → you are building enterprise multi-agent systems → you need orchestration Use Azure AI Foundry Agents if: → you want managed enterprise agent hosting → governance matters Use Co-pilot Studio if: → business teams need low-code copilots This is the complete .NET AI Agent decision framework. If you're building enterprise AI systems with .NET, Azure, Kubernetes, cloud-native architecture, and agentic AI — subscribe. #dotnet #aiagents #microsoftagentframework #dotnet #aiagents #microsoftagentframework #semantickernel #azureopenai #azureaifoundry #copilotstudio #generativeai #agenticai #enterpriseai #softwarearchitecture #cloudarchitecture #azure #csharp #aiengineering