Microsoft spent years maintaining two overlapping agent stacks — Semantic Kernel, aimed at enterprise integration, and AutoGen, a research playground for multi-agent conversation. Agent Framework collapses that rivalry into one SDK. The telling signal isn't the feature checklist; it's that the team now treats multi-agent orchestration as a durability and state problem, not a prompting trick.
What Sets It Apart
- Orchestration is a graph, not a chat loop. Sequential, concurrent, handoff, and group-chat patterns are first-class graph topologies, so "who runs next" is modeled as data flow rather than improvised message passing.
- Runs are durable and restartable. Checkpointing lets a long-running workflow survive a crash or a human-in-the-loop pause and resume mid-graph — the gap that usually pushes teams off prototype frameworks.
- One set of concepts, two runtimes. The same API lands in both Python and .NET (C#), with provider-agnostic model access, a middleware layer, and OpenTelemetry tracing built in rather than bolted on.
- Migration is the actual product. Explicit guides from both Semantic Kernel and AutoGen position it as the successor to consolidate onto, not a third option to evaluate.
Who It's For
Great fit if you're moving an agent prototype toward production and need orchestration, recoverable state, and observability without stitching three libraries together — especially if you already live in the Azure/.NET ecosystem. Look elsewhere if you want a minimal single-agent loop, need a battle-tested Python-only community today (the unified framework is young and still stabilizing its APIs), or aren't committed to Microsoft's model and tooling choices.
