Microsoft ships Agent Framework 1.0, unifying Semantic Kernel and Auto
Microsoft consolidates two agent frameworks into single SDK
Microsoft released Agent Framework 1.0 on April 3, 2026, marking the formal consolidation of two major open-source projects—AutoGen and Semantic Kernel—into a single production-ready SDK Developers Digest. The framework unifies enterprise LLM integration capabilities with multi-agent orchestration, delivering production-ready APIs with long-term support commitments across .NET and Python alexbevi.com.
Both AutoGen and Semantic Kernel entered maintenance mode in October 2025, with the new Agent Framework positioned as the recommended path forward for developers Agentic Wire. The same Microsoft Research teams that built both predecessor projects created Agent Framework, combining what the company describes as "the enterprise-ready foundations of Semantic Kernel with the innovative orchestrations of AutoGen" into a unified toolkit.
Native protocol support for production deployments
The 1.0 release ships with native support for the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols, enabling agents to communicate with tools and other agents out of the box. This addresses a core pain point for enterprises deploying multi-agent systems at scale, where protocol fragmentation has forced teams to build custom integrations.
Both the .NET and Python SDKs are production-ready, with stable APIs designed for long-term compatibility. The framework targets developers building enterprise-grade agent applications, from autonomous reasoning systems to complex multi-step orchestrations.
Strategic timing in a consolidating market
The release reflects a broader consolidation in the AI agent framework landscape. As development teams matured autonomous agent patterns throughout 2025, the fragmentation between orchestration-focused and integration-focused frameworks became a friction point. Microsoft's decision to fold AutoGen and Semantic Kernel signals confidence that the agent framework category is shifting from exploration to production deployment.
The framework is immediately usable by developers familiar with either predecessor project, with migration guides published alongside the 1.0 release. Community adoption patterns and enterprise trials will determine whether the consolidation succeeds in reducing framework fragmentation across the industry—a persistent challenge as organizations scale agent investments beyond prototyping.
