Using Amazon SQS for AI Agent Orchestration

As AI agents become 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.