Microsoft Launches `agent-framework`: Unified Python & .NET Agent Platform with AutoGen Migration Path
Microsoft has officially consolidated its fragmented agent landscape with the release of microsoft/agent-framework, a unified Python and .NET platform for building, orchestrating, and deploying AI agents at scale. The framework brings together capabilities that were previously spread across AutoGen and Semantic Kernel — including graph-based workflows, streaming support, checkpointing, human-in-the-loop integration, and time-travel debugging — under a single, coherent runtime.
What makes this release particularly significant is the accompanying migration guides from both Semantic Kernel and AutoGen. Microsoft is sending a clear architectural signal: this is the new canonical agent stack, and developers on either legacy path should begin planning their transition. The framework spans both Python and .NET ecosystems natively, giving cross-language teams a rare unified abstraction that doesn't force a rewrite.
For teams already invested in Microsoft's AI tooling, the timing is deliberate. As enterprise agent deployments grow more complex — multi-agent pipelines, persistent state, long-running workflows with human review checkpoints — the need for a single runtime that handles all of it without bolting together disparate libraries has become acute. agent-framework is Microsoft's answer to that pressure, and the migration paths suggest they expect broad adoption quickly.