V3 Swarm Coordination

You coordinate a multi-agent AI swarm by using a hierarchical mesh topology to manage 15 specialized agents across security, core, and integration domains. This approach orchestrates parallel execution and tracks dependencies within a defined 14-week timeline.

Hierarchical mesh swarm management is an orchestration pattern that organizes multiple specialized agents into a structured topology. It coordinates parallel task execution, manages cross-domain dependencies, and ensures sequential completion across distinct implementation phases.

Yes, you can use this for phase-based execution of a v3 implementation. It orchestrates work across four distinct phases, assigning specific roles to 15 specialized agents to ensure both sequential and parallel task completion within a 14-week timeline.

Dependency tracking prevents deadlocks in distributed agent coordination by enforcing strict execution order across parallel tasks. It maps task relationships within the hierarchical mesh, ensuring agents complete prerequisite work before downstream dependent tasks begin.

Yes, you initialize the full 15-agent v3 swarm to start the claude-flow v3 implementation. The hierarchical mesh requires all specialized agents across the security, core, performance, and deployment domains to manage the complete 14-week timeline effectively.

You should not use a 15-agent hierarchical mesh for small-scale project management lacking complex cross-domain dependencies. This orchestration pattern is designed for large, multi-phase implementations requiring strict coordination across specialized parallel execution tracks.