swarm-coordination

Coordinating parallel agents involves a leader agent spawning and monitoring worker swarms using delegation packets and progress tracking to execute concurrent tasks efficiently. This prevents bottlenecks by classifying tasks and managing dependencies.

Anti-serial-collapse detection is a mechanism that prevents multi-agent parallel workflows from unintentionally degrading into sequential execution. It identifies and corrects bottlenecks to ensure worker swarms maintain true concurrent task execution.

To delegate tasks for codebase refactoring, a leader agent sends delegation packets to worker agents assigned to independent modules. The leader then monitors progress tracking metrics to ensure concurrent execution and speed up the process.

Yes, Kimi K2.5 PARL patterns are explicitly designed to enable leader agents to spawn, coordinate, and monitor worker swarms. These patterns provide the task classification and graceful shutdown logic required for complex multi-agent workflows.

The best way to gracefully shutdown parallel agent swarms is to use specific coordination patterns that track ongoing task progress. These patterns ensure all concurrent workers complete their assigned duties safely before terminating the multi-agent workflow.