Swarm Orchestration

Swarm Orchestration coordinates multi-agent task execution by distributing work across a mesh, hierarchical, or adaptive topology. Initialize agents, assign specialized roles, and the system handles automatic load balancing, memory sharing, and fault tolerance across parallel execution.

Distributed agent coordination supports mesh, hierarchical, and adaptive topologies. Mesh connects all agents equally, hierarchical organizes them in layers, and adaptive adjusts structure based on workload. Switch between topologies dynamically to match your task requirements.

Yes. Spawn specialized agents for backend, frontend, testing, and deployment, then orchestrate tasks in parallel. The system distributes work, balances load across agents, coordinates shared memory state, and manages fault tolerance throughout development.

Memory coordination shares state across all agents in the swarm for seamless collaboration. Each agent accesses the shared context, ensuring consistent task execution and enabling agents to build on each other's results without manual synchronization.

Fault tolerance is built in. The orchestration system detects failures, redistributes failed tasks to remaining agents, and maintains workflow continuity. Load balancing ensures no single agent becomes a bottleneck during recovery.

Yes. Swarm Orchestration integrates with agentic-flow through hooks for pre-task, post-task, and session management. This enables coordinated agent behavior across the entire workflow lifecycle with proper event handling and state transitions.