Swarm Orchestration

Multi-agent swarms coordinate distributed task execution through topology enforcement, automatic task distribution, load balancing, and fault tolerance across mesh, hierarchical, and adaptive network structures. You initialize a swarm and spawn specific agent types to handle parallel workflows.

Mesh, hierarchical, and adaptive topologies define how multi-agent swarms coordinate. Mesh allows direct peer-to-peer agent interaction, hierarchical uses a tiered delegation structure, and adaptive dynamically shifts coordination patterns based on task distribution and load balancing requirements.

Yes, multi-agent orchestration requires Node.js 18+ and agentic-flow v1.5.11 or higher. These dependencies provide the foundational environment and command-line hooks needed to initialize swarms, spawn agents, and execute parallel task distribution.

To set up a swarm for parallelized development, initialize the swarm with a chosen topology and maximum agent count. Then spawn specialized agents like coders, testers, and reviewers before executing the task orchestration command in parallel mode.

Yes, multi-agent orchestration integrates directly with hooks for pre-task coordination, post-task synchronization, and session restoration. This ensures agents align before execution and aggregate results properly after distributed tasks complete.

Multi-agent orchestration provides built-in fault tolerance for complex workflows. If an agent fails during distributed task execution, the system applies load balancing to redistribute the workload across remaining active agents in the mesh or hierarchical topology.