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Multi-agent workflows involve coordinating multiple specialized agents to solve complex problems. The Agent Connect framework makes this possible through standardized communication protocols and agent discovery mechanisms.
Workflow Patterns Several common patterns emerge in multi-agent workflows:
1. Sequential Workflows In sequential workflows, agents process tasks in a predefined sequence, with each agent building on the work of previous agents.
2. Parallel Workflows In parallel workflows, multiple agents work simultaneously on different aspects of a problem, with results combined later.
3. Hierarchical Workflows In hierarchical workflows, a coordinator agent delegates subtasks to specialized agents and synthesizes their results.
Implementation Considerations When implementing multi-agent workflows:
State Management : Determine how state will be maintained across agent interactionsError Handling : Implement robust error handling and recovery mechanismsTimeout Management : Set appropriate timeouts for agent interactionsFallback Strategies : Define fallback strategies when agents fail or timeoutObservability : Implement logging and monitoring to track workflow execution 
