swarm-coordination

Multi-agent coordination orchestrates task decomposition and parallel execution by spawning workers and managing reservations. It enables conflict-free file editing and tracks progress across modules to accelerate complex software workflows.

Task decomposition breaks complex software requirements into parallelizable subtasks. This approach spawns specialized agents for frontend, backend, and tests, ensuring coordinated forks and traceable progress throughout the feature delivery.

Swarm mail integration enables persistent coordination by connecting hive cells and hivemind memories. It manages subtask spawning and progress tracking, ensuring all agents maintain synchronized states during parallel workflow execution.

Multi-agent coordination supports cross-team collaboration across multiple files and modules. It applies structured review and feedback loops to ensure quality when coordinating complex tasks that require synchronized development efforts.

File reservation is required to prevent conflicts when spawning parallel agents. It ensures conflict-free worker execution by locking specific files, allowing multiple agents to operate simultaneously without overwriting each other's progress.

Multi-agent swarm coordination should not be used for simple, single-file tasks that lack parallelizable subtasks. It is designed for complex workflows requiring multiple modules, cross-team collaboration, and structured feedback loops.