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.

User Request

Orchestrator

Research Agent

Analysis Agent

Writing Agent

User Response

2. Parallel Workflows

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

User Request

Orchestrator

Research Agent

Data Analysis Agent

Creative Agent

Result Aggregator

User Response

3. Hierarchical Workflows

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

User Request

Coordinator Agent

Specialized Agent 1

Specialized Agent 2

Specialized Agent 3

User Response

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