Swarm Orchestration

You orchestrate multi-agent swarms by applying mesh, hierarchical, or adaptive topologies to coordinate distributed AI workflows. This enables automatic task distribution, load balancing, and fault tolerance across multiple agents.

Distribute parallel tasks across AI agents by using automatic task distribution and load balancing within a mesh or hierarchical topology. This approach coordinates agents to execute concurrent workflows efficiently while preventing overload.

Yes, distributed agent orchestration requires Node.js 18+ and agentic-flow v1.5.11+. You use the agentic-flow CLI to initialize swarms, spawn agents, and execute task orchestration commands.

Fault tolerance in a distributed swarm works through automatic task reallocation. When an agent fails, the orchestration layer reallocates its tasks to other available agents, ensuring resilience and continuous workflow execution.

Yes, you can use hook-based integrations for pre-task and post-task coordination across distributed agents. This allows memory coordination and synchronized execution of tasks throughout the swarm topology.

Supported swarm topologies for coordinating distributed agents include mesh, hierarchical, and adaptive structures. Each topology manages task distribution and memory coordination differently to suit various workflow scalability requirements.