orchestrator

Multi-agent execution is coordinated by spawning, monitoring, and managing parallel worker agents to handle task dependencies, progress tracking, and blocker resolution for complex epic-level workflows.

Agent coordination manages cross-track dependencies and file conflicts by tracking the status of individual tasks across parallel work streams and actively resolving blockers to ensure smooth epic execution.

Automating task management for parallel development tracks involves using an orchestrator to assign specialized agents to different tracks and monitor their progress autonomously towards epic completion.

Yes, workflow automation can autonomously spawn and monitor parallel worker agents, utilizing agent mail for inter-agent communication and task management tools to handle the bead lifecycle.

You need multi-agent orchestration when starting large feature developments that require automating the planning and coordination of complex tasks across multiple parallel work streams while respecting dependencies.

The orchestrator handles complex multi-agent task coordination but requires a predefined execution plan to initiate, relying on agent mail and task management tools to manage the bead lifecycle rather than generating plans autonomously.