V3 Swarm Coordination

Multi-agent swarm coordination is handled by a hierarchical 15-agent mesh that executes parallel tasks across security, core, and integration domains while maintaining strict dependency management and timeline adherence.

Phase-based orchestration organizes complex AI workflows into explicit execution phases driven by ADRs, allowing a 15-agent swarm to coordinate parallel execution across multiple domains within a 14-week timeline.

Agent-based coordination supports projects requiring strict dependency graphs by utilizing a queen coordinator to manage a 15-agent hierarchical mesh, tracking dependencies across security, core, and integration domains.

To initialize the 15-agent hierarchical mesh swarm, use the queen coordinator to start Phase 1, which begins the orchestration of parallel execution across the defined v3 implementation domains.

This swarm coordination approach satisfies requirements for GitHub integration and communication bus patterns, incorporating explicit phase definitions, agent roles, and performance coordination metrics for large AI workflow projects.

You need hierarchical swarm coordination for large AI workflow projects that require strict dependency management, parallel execution across multiple domains and teams, and adherence to a strict timeline.