Microsoft Agent Framework introduced

Just yesterday, Microsoft announced the first version of the Microsoft Agent Framework, an open-source SDK for building AI agents and multi-agent workflows.

The framework is aimed at developers working with .NET and Python, and provides a unified way to build, orchestrate, and run "agentic" applications.

The interesting part is not just "yet another AI library", but that this combines previous Microsoft efforts such as Semantic Kernel and AutoGen into a single model.

From a practical developer point of view, the framework gives you:

• A consistent way to build AI agents
• Support for multi-agent workflows
• Built-in state management and orchestration
• Integration with Azure AI and Microsoft ecosystem

One key idea is orchestration. Instead of a single AI call, you define workflows where multiple agents can collaborate, call tools, and pass results between each other. This looks very nice.

The framework is also designed with production scenarios in mind, including telemetry, governance, and scalability features for running agents in real systems.

If you have used Semantic Kernel or AutoGen before, this is essentially the next step. The goal is to provide one unified abstraction for building and running agent-based applications.

For .NET developers, this is worth keeping an eye on. It shows where Microsoft is heading with AI: from simple prompt-based apps toward structured, multi-step systems that can reason and act.