Microsoft Agent Framework resolves the fragmentation between Microsoft's two previous agent projects by unifying Semantic Kernel's enterprise .NET capabilities with AutoGen's Python research-focused multi-agent patterns into a single coherent SDK. Teams no longer need to choose between the two — the framework provides a consistent API surface across both Python and C# that covers single-agent tool use, multi-agent coordination, human-in-the-loop approval workflows, and complex graph-based orchestration patterns.
The framework includes first-class MCP tool integration, allowing agents to discover and use external tools through the Model Context Protocol. Its orchestration layer supports multiple coordination patterns: sequential pipelines where agents hand off to each other, parallel execution for independent subtasks, and dynamic routing where a coordinator agent delegates to specialists based on the task. Built-in observability through OpenTelemetry provides tracing and metrics for debugging agent behavior in production.
With over 8,400 GitHub stars and Microsoft's full backing, the Agent Framework represents the enterprise-grade path for organizations building production AI agent systems. The RC status reached in February 2026 signals a stable API ahead of general availability. For teams already invested in the Microsoft ecosystem through Azure, .NET, or previous Semantic Kernel and AutoGen projects, this framework provides a clear migration path with long-term support and integration with Azure AI services.
