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Last Updated on June 3, 2026 by Editorial Team

Originally published on Towards AI.

As AI agents become more capable, organizations are moving beyond standalone chatbots and building systems where multiple agents work together to complete complex tasks. A single request may involve one agent gathering information, another analyzing data, a third generating content, and a fourth validating the results.

Coordinating between these agents to work asynchronously requires a reliable way to exchange information, hand off work, and handle failures. Direct communication between agents can quickly create tightly coupled systems that are difficult to scale and maintain.