Swarm Orchestration

Multi-agent orchestration coordinates diverse AI agents for parallel task execution using swarm topologies. This Skill uses agentic-flow to distribute tasks automatically, balance load across agents, and maintain fault tolerance so agents work together seamlessly without manual synchronization overhead.

Swarm topologies define how agents communicate and coordinate. Mesh topologies enable peer-to-peer communication for equal agents; hierarchical topologies use supervisor-worker patterns for structured workflows; adaptive topologies adjust dynamically based on task demands. Choose based on your workflow complexity and agent relationships.

Yes. Memory coordination in multi-agent swarms shares context and state across agents, ensuring seamless collaboration and continuity. This allows agents to access shared progress, adapt to updates, and coordinate work without redundant effort or conflicting decisions.

Agent orchestration requires agentic-flow v1.5.11 or later and Node.js 18 or higher. Once these dependencies are met, you can initialize swarm topologies and spawn coordinated agents with automatic task distribution and fault tolerance built in.

Load balancing distributes tasks evenly across agents to prevent bottlenecks and maximize throughput. This Skill automatically routes incoming work to available agents based on capacity, ensuring no single agent becomes overloaded while others remain idle.

Fault tolerance mechanisms detect agent failures and redistribute affected tasks to healthy agents, maintaining workflow continuity. The swarm automatically recovers without manual intervention, ensuring reliable execution even when individual agents encounter errors.