The multi-agent AI revolution accelerated this week with groundbreaking tools and standards. Microsoft emerged as a key player by supporting the Model Context Protocol (MCP) across GitHub, Copilot Studio, and Azure. This lets AI agents securely share information like workers using the same office language. Their NLWeb project takes inspiration from HTML, allowing websites to create natural language interfaces that agents can automatically find and use.

Enterprise adoption reached new heights as Cognizant open-sourced its Neuro AI Multi-Agent platform. This lets businesses create networks where AI agents specialize in different tasks - one checks inventory while another chats with customers. Microsoft’s Copilot Studio now enables agents built with different tools (Microsoft 365, Azure AI, Fabric) to collaborate on complex workflows. For example, sales agents can pass customer data to proposal-writing agents, who then trigger meeting-scheduling bots.

The AAMAS 2025 conference in Detroit showcased cutting-edge research, including agents that coordinate drone deliveries and AI teams that optimize factory layouts. Microsoft’s Azure AI Foundry Agent Service entered general availability, providing real-time monitoring for companies running hundreds of agents.

IBM countered with watsonx Orchestrate, claiming anyone can assemble AI agents in five minutes using prebuilt components. Security saw innovation through TufinMate, an AI that manages network protections via Slack conversations.

Surveys reveal explosive growth - 88% of enterprises plan bigger AI budgets after agentic AI delivered 66% productivity gains in pilot projects. Developers flocked to Microsoft’s Agents 101 Hackathon focused on multi-agent collaboration frameworks. As specialized agents proliferate (now over 1,200), tools like Microsoft Entra Agent ID ensure secure authentication across AI teams.