Swarm Orchestration

Multi-agent swarm orchestration coordinates multiple AI agents to execute parallel tasks using dynamic topologies like mesh and hierarchical structures. It enables intelligent coordination, automatic task distribution, and load balancing across distributed AI systems.

You can coordinate parallel task execution by initializing a swarm topology and spawning specialized agents. The system manages dynamic task distribution and load balancing, allowing agents to execute complex workflows concurrently and sequentially as needed.

To build multi-agent swarms with agentic-flow, you need agentic-flow version 1.5.11 or higher and Node.js 18 or above. These environments provide the necessary runtime for orchestrating distributed AI agents and managing topology configurations.

Yes, the multi-agent orchestration supports fault tolerance by managing agent failures and ensuring task completion. It automatically handles retries and fallbacks, maintaining resiliency and continuous task execution within the distributed swarm topology.

Use adaptive topology when your distributed AI system requires dynamic structural changes based on real-time workload. Mesh and hierarchical topologies offer fixed coordination structures, while adaptive topology provides flexible agent coordination for fluctuating task distribution.

Yes, you can initialize a swarm with up to 5 agents and spawn a coder, tester, and reviewer agent. This allows the multi-agent swarm to manage complex software features by executing coding, testing, and review tasks concurrently.