Multi-agent Workflows: What are they? Use cases & example architecture

Multi-agent workflows involve the coordination of tasks executed by autonomous agents, which can include software applications, AI models, bots, or humans, often in distributed and asynchronous environments. These workflows benefit from characteristics such as decentralization, coordination, communication, autonomy, and interdependency, which require effective state management across agents. Temporal is highlighted as a suitable framework for managing these workflows due to its orchestration capabilities, state management, and flexible interaction handling without the need for specific agentic code. It supports reliable asynchronous communication, parallel processing, long-running workflows, and event-driven triggers, making it an ideal backbone for systems requiring seamless, efficient, and resilient operations. An example is provided where Temporal enhances a multi-agent customer support system by managing tasks like request analysis, customer data retrieval, and routing, ensuring effective coordination and automation.

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