Swarm Orchestration

Swarm orchestration coordinates multiple AI agents across distributed systems by managing dynamic topologies, automatically distributing tasks, and balancing load. Initialize a mesh swarm, assign specialized agents to parallel tasks, and the framework handles coordination, fault tolerance, and shared memory for seamless operation.

Yes. Swarm orchestration supports parallel and pipeline task execution modes, allowing concurrent distribution of tasks across agents. This enables efficient scaling—for example, assigning coding, testing, and review tasks simultaneously to specialized agents within the same swarm.

Swarm orchestration supports mesh, hierarchical, and adaptive topologies. Mesh connects all agents peer-to-peer; hierarchical organizes agents in layers; adaptive dynamically adjusts connections based on task demands and system state.

Yes. The framework includes built-in fault tolerance and load balancing across agents. It automatically redistributes tasks when agents fail and maintains balanced workload distribution to prevent bottlenecks in distributed task execution.

Swarm orchestration requires agentic-flow v1.5.11 or later and Node.js 18 or higher. These version constraints ensure compatibility with the framework's multi-agent coordination features, monitoring, and resilience controls.

Use swarm orchestration when tasks require coordination across many agents, dynamic task distribution, or scalability. It's essential for complex workflows like distributed development projects where agents need synchronized execution, shared state, and intelligent fault recovery.