Swarm Orchestration

Multi-agent coordination is achieved by orchestrating swarms with dynamic topology management, allowing agents to execute tasks concurrently and in the correct order. This skill manages task distribution across mesh, hierarchical, or adaptive topologies for efficient parallel processing.

Multi-agent swarm orchestration manages and coordinates multiple AI agents to work together on complex tasks. You need it when scaling beyond single agents, implementing complex workflows, or building distributed AI systems that require distinct concurrent roles like coding, testing, and reviewing.

Yes, swarm orchestration requires agentic-flow v1.5.11+ and Node.js 18+ to function. It leverages agentic-flow to initialize topologies like a mesh of five coder agents and manage dynamic task distribution across the coordinated swarm.

Use the swarm orchestration skill to initialize a mesh topology with five coder agents. This setup dynamically assigns and balances tasks among the agents, enabling efficient parallel or sequential execution for complex software features.

Scaling beyond single agents is best handled by implementing multi-agent swarms with dynamic topology management. This approach provides intelligent coordination and task distribution, enabling concurrent execution of distinct roles within complex distributed AI systems.