Multi-Agent Coordination

Coordinating multiple agents involves spawning 3–13 agents across a layered architecture (Strategic, Tactical, Operational, Quality), establishing communication protocols using TASK, STATUS, and RESULT messages, and managing handoffs between agents. This approach efficiently distributes work across diverse expertise areas and enables parallel execution with shared resources.

Conflict resolution uses priority-based, time-based, and merge strategies to reconcile agent outputs. Handoff protocols ensure agents log transitions and communicate results through standardized messaging, preventing race conditions and ensuring task continuity across the agent lifecycle.

Use multiple agents for tasks requiring more than three steps, cross-file or cross-component work, diverse expertise domains, or parallel execution. This structure suits complex workflows where no single agent can efficiently handle all reasoning paths and where resource sharing needs explicit management.

Agent spawning enforces minimum 3 and maximum 13 agents per coordination session. These limits balance parallelism against coordination overhead while maintaining manageable communication complexity and conflict resolution overhead.

Communication protocols define three message types—TASK (assignments), STATUS (progress updates), and RESULT (outputs)—enabling asynchronous coordination across the layered architecture. This decouples agent execution and prevents blocking on synchronous handoffs.