crewai-multi-agent

Multi-agent orchestration coordinates specialized AI agents through role-based collaboration. You define agents with specific goals, backstories, and tools, then assign tasks to create reliable multi-step execution workflows instead of using one overloaded prompt.

Event-driven branching and routing for AI agents is managed through Flows. Flows enable stateful automation, allowing multi-agent workflows to handle dynamic event routing, retries, and complex conditional logic for production environments.

Yes, hierarchical workflows support task delegation in multi-agent systems. You can configure hierarchical crews to manage ordered workflows, allowing managers to delegate subtasks to specialized agents with memory and tool access for reliable execution.

Typed state and troubleshooting guidance are required for reliable execution in production multi-agent automations. Defining agent roles, task context, and optional tools alongside typed state ensures complex workflows operate predictably without failing.

Use sequential crews for ordered, step-by-step AI orchestration where tasks follow a linear path. Choose hierarchical crews when your workflow requires a manager agent to delegate subtasks dynamically across specialized agents with memory.

Multi-agent workflows fail when lacking typed state or troubleshooting guidance for reliable execution. Ensure your agents have defined roles, clear task context, and appropriate tool access to prevent overload and execution failures.