Learn how to orchestrate multi-agent AI systems using Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) in containerized, cloud-native environments in this 24-minute conference talk from CNCF. Explore the evolution of AI from single models to distributed, agent-based ecosystems through a live demonstration featuring an orchestrator agent deployed in Kubernetes that coordinates autonomous agents running across Azure and GCP. Discover techniques for enabling secure, cross-cloud collaboration between agents, sharing memory context using MCP, and scaling intelligent workflows across containers. Gain insights into designing modular and interoperable architectures with modern AI infrastructure, particularly valuable for building AI copilots or multi-agent platforms.