As AI evolves, businesses are transitioning from single-agent solutions to multi-agent collaborative AI. Clusters of multiple specialized, autonomous agents collaborate to achieve common goals. Typically, a coordinator agent manages workflows across a group of subagents, which collaborate – both among themselves and with external tools, by using standardized protocols like A2A and MCP.
To learn how you can build enterprise-grade multi-agent AI systems in Google Cloud that are reliable, secure, and efficient, read this reference architecture guide.