As AI agents continue to evolve, Microsoft is bringing more of its agent development capabilities together through the Microsoft Agent Framework.

Agent Framework is an open-source framework for building AI agents and agentic workflows. More importantly, Microsoft positions it as the next generation of Semantic Kernel and AutoGen, bringing concepts from both into a single, unified framework.

What Does It Bring Together?

At a high level, Agent Framework gives developers the building blocks to create agents that can:

  • Use tools and external services
  • Connect through MCP
  • Work with memory and enterprise knowledge through RAG
  • Include human-in-the-loop approvals
  • Coordinate multiple agents
  • Use workflows for more controlled orchestration

One useful bit of Microsoft's guidance is the distinction it draws between agents and workflows:

  • Use an agent when the task is open-ended and requires the AI to determine the next steps. 

  • Use a workflow when the process requires more predictable steps and control. 

  • And if a normal function can solve the problem — Microsoft recommends simply using the function rather than introducing an AI agent.

Where Does It Fit?

A simple way to map Microsoft's agent-building options:

  • Copilot Studio → Low-code agent development
  • Microsoft Agent Framework → Code-first agent and workflow development
  • Microsoft Foundry → AI platform, models, and services

The boundaries aren't always this clean, but it's a useful starting point for understanding where Agent Framework sits in the picture.

Want to Learn More?

While reading up on Agent Framework, I came across a great free hands-on course from Jamie Maguire, Microsoft MVP in Artificial Intelligence.

Jamie builds an AI personal trainer called Iron Mind AI using C#, progressively introducing function tools, memory, human approvals, MCP, RAG, and other agent capabilities along the way.

Even if you're not a developer, the series is a great way to see how many of the agentic AI concepts we keep hearing about actually come together in practice.

Read here to know more:

Credit to Jamie Maguire, Microsoft MVP in Artificial Intelligence, for creating and sharing this course  with the community.

As agents become a bigger part of the enterprise technology landscape, you don't necessarily need to be building them yourself — but understanding the frameworks and patterns behind them is becoming increasingly useful.

Update – September 26, 2026: Getting Hands-On with Microsoft Foundry

Microsoft Developer has also released an Inside Microsoft Foundry quick-start video series for anyone looking to get hands-on with AI agents.

The short videos cover building agents with Python, VS Code and no-code approaches, along with agent customization, model selection and routing across multiple models.

What I like about the series is that it moves beyond explaining what agents are and shows how developers can actually start building them using different approaches within the Microsoft ecosystem.

Watch: Inside Microsoft Foundry – YouTube playlist

Stay tuned for more updates...