Multi-agent workflows
Explore advanced features and integration patterns for Agent Connect
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 interactions
- Error Handling: Implement robust error handling and recovery mechanisms
- Timeout Management: Set appropriate timeouts for agent interactions
- Fallback Strategies: Define fallback strategies when agents fail or timeout
- Observability: Implement logging and monitoring to track workflow execution