Swarm Orchestration

You coordinate multi-agent swarms by configuring mesh, hierarchical, or adaptive topologies for deployment. The system handles automated task distribution, load balancing, and fault tolerance to execute distributed tasks across the agent network.

Mesh, hierarchical, and adaptive topologies offer flexible deployment models for multi-agent orchestration. Mesh enables peer-to-peer coordination, hierarchical structures delegate tasks vertically, and adaptive topologies dynamically adjust agent networks based on task distribution needs.

Shared memory coordination synchronizes agents by maintaining a common state across the distributed swarm. It works alongside hooks-based synchronization to enforce lifecycle orchestration, ensuring agents operate with consistent data during task execution.

Agentic-flow version compatibility is a strict prerequisite for multi-agent swarm orchestration. Ensuring version alignment alongside proper topology configuration enables successful lifecycle orchestration through hooks and memory coordination.

You can parallelize tasks across team roles by orchestrating a development swarm. Configuring an adaptive or hierarchical topology allows automated task distribution to assign role-specific responsibilities across multiple concurrent agents.