Swarm Orchestration

You coordinate multiple AI agents for parallel task execution by using a swarm orchestration framework that distributes workloads across mesh, hierarchical, or adaptive topologies. This enables scalable collaboration for complex software development and data processing workflows.

The best way to structure distributed AI workflows is deploying an adaptive swarm topology that assigns specialized roles like coder, tester, and reviewer. This allows agents to automatically share memory and balance loads while designing, implementing, and validating features at scale.

Yes, you need Node.js 18+ and agentic-flow v1.5.11 or higher to orchestrate multi-agent swarms. These dependencies provide the required runtime environment and core framework support for initializing mesh configurations and managing parallel agent execution.

Yes, you can use swarm orchestration for fault tolerance and load balancing in data processing. The framework automatically manages task distribution and handles failures across agents, ensuring distributed workflows continue running reliably even when individual agents encounter errors.

You set up pre-task and post-task hooks for multi-agent synchronization by configuring them within the swarm orchestration framework. These hooks allow you to execute custom logic before and after distributed tasks, ensuring agents align their shared memory and states properly.