Microsoft Research just introduced MMCTAgent, an open-source framework built on AutoGen to reason across long videos and massive image libraries. Instead of relying on one-shot answers, it deploys Planner and Critic agents to break down queries, trigger computer vision tools, and cross-check evidence. On the MM-Vet benchmark, it pushed GPT-4V's accuracy from 60.20% to 74.24%.
Microsoft just launched the Microsoft Agent Framework in public preview, bringing together research from AutoGen and the enterprise plumbing of Semantic Kernel into a single open-source SDK. It adds native support for Anthropic's Model Context Protocol (MCP) and multi-agent workflows across Azure. Why it matters: Developers no longer have to juggle fragmented tools to build and monitor collaborating AI agents.
Microsoft just open-sourced Magentic-One, a multi-agent system built on AutoGen where a lead Orchestrator directs four specialized agents to browse the web, read files, code, and execute terminal commands. It delivers top-tier performance on benchmarks like GAIA without bespoke architectures. The modular design lets developers easily swap or add new agents.
