Swarm Orchestration

You can coordinate multiple AI agents by using a swarm orchestration Skill that supports mesh, hierarchical, and adaptive topologies for parallel task execution, dynamic task distribution, and intelligent load balancing across distinct roles like coding, testing, and reviewing.

Multi-agent swarm orchestration automates the complex coordination of multiple AI agents working toward a common goal, overcoming single-agent limitations by managing dynamic topologies, automatic task distribution, and fault tolerance for parallel or sequential execution.

To set up a mesh topology, use the swarm orchestration Skill to initialize the swarm with your desired number of agents, then spawn specific agents like a coder, tester, and reviewer to handle dynamically distributed tasks in parallel.

Yes, managing dynamic task distribution across agents requires agentic-flow v1.5.11 or higher and Node.js 18 or above to support intelligent coordination, automatic load balancing, and fault tolerance.

Using a dedicated swarm orchestration approach with adaptive or hierarchical topologies provides automatic task distribution and intelligent load balancing, ensuring fault tolerance and smooth handoffs between collaborative agents.

Yes, hierarchical topologies support both parallel and sequential execution, allowing you to orchestrate collaborative agents like coders and testers with smooth handoffs and intelligent task assignment toward the final deliverable.