Swarm Orchestration

Multi-agent coordination is achieved by initializing a distributed agent swarm to dynamically assign work, balance loads, and manage fault tolerance across a chosen topology. This automated orchestration eliminates manual handoffs and execution bottlenecks in complex AI pipelines.

Supported topologies for multi-agent workflows include mesh, hierarchical, and adaptive layouts. These configurations enable scalable collaboration and dynamic task distribution across distributed agents based on specific project requirements.

Yes, you need agentic-flow v1.5.11 or higher and Node.js 18 or above installed to initialize, spawn, and orchestrate distributed agent swarms. These environment prerequisites are required to execute the automated coordination commands.

To build a REST API in parallel, initialize a mesh swarm, spawn specific agent types like a coder, tester, and reviewer, then execute a task-orchestrate command with parallel mode. This automates the development pipeline through distributed agent execution.

Fault tolerance and memory sharing in distributed agent swarms provide resilient task execution by maintaining a shared state among agents. This ensures continuous workflow progress and coordination even if individual agents encounter execution issues.