Microsoft Agent Framework

Enterprise multi-agent orchestration — Python and .NET, v1.0

Microsoft's Agent Framework reached v1.0 on April 2, 2026, graduating from its earlier roots as a merger of Semantic Kernel and AutoGen into a production-ready SDK for building, orchestrating, and deploying multi-agent systems. The framework supports both Python and C#/.NET with consistent APIs, 8.6k GitHub stars, and backing from Microsoft Foundry. The core differentiator is graph-based workflow orchestration: agents and deterministic functions are connected as nodes in a data flow graph, enabling streaming, checkpointing, time-travel debugging, and human-in-the-loop interrupts. Built-in OpenTelemetry integration means traces flow naturally into existing observability stacks. The framework also supports A2A (Agent-to-Agent) and MCP protocols for cross-runtime interoperability. Where AutoGen focused on conversational multi-agent patterns and Semantic Kernel on plugin-based single-agent development, Agent Framework v1.0 positions itself as enterprise orchestration infrastructure — closer to a workflow engine than a chatbot toolkit. Whether that abstraction holds under real-world complexity remains to be seen, but the v1.0 commitment signals Microsoft is betting on this as the canonical surface for agentic .NET apps.

Panel Reviews

Ship

“The graph-based workflow model with time-travel debugging is a meaningful step beyond AutoGen's conversational loops. If you're on .NET or want a supported enterprise path, v1.0 stable APIs are a green light.”

Skip

“This is Microsoft's third attempt at an agent framework in two years. AutoGen, Semantic Kernel, now this. The v1.0 label is reassuring but the track record of pivots is not. I'd wait six months before building on it.”

Skip

“Graph-based agent orchestration with checkpointing is how complex AI workflows will be built. Getting a stable, enterprise-backed foundation for this in both Python and .NET accelerates the whole ecosystem.”

Skip

“Unless you're a .NET shop or already deep in Azure, the Python ecosystem has lighter-weight alternatives. The enterprise positioning makes this feel like overkill for indie use cases.”