Multi-agent workflows

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.

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Workflow Patterns

Several common patterns emerge in multi-agent workflows:

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1. Sequential Workflows

In sequential workflows, agents process tasks in a predefined sequence, with each agent building on the work of previous agents.

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2. Parallel Workflows

In parallel workflows, multiple agents work simultaneously on different aspects of a problem, with results combined later.

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3. Hierarchical Workflows

In hierarchical workflows, a coordinator agent delegates subtasks to specialized agents and synthesizes their results.

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Implementation Considerations

When implementing multi-agent workflows:

1. State Management: Determine how state will be maintained across agent interactions
2. Error Handling: Implement robust error handling and recovery mechanisms
3. Timeout Management: Set appropriate timeouts for agent interactions
4. Fallback Strategies: Define fallback strategies when agents fail or timeout
5. Observability: Implement logging and monitoring to track workflow execution