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To coordinate multi-agent tasks across multiple sessions, you need a system that persists task states and uses file locking. This approach tracks work priorities and manages dependencies so agents can resume tasks safely after restarts.

Dependency tracking for workflow automation ensures sequential and parallel task execution respects defined blockers. It prevents agents from starting work that relies on incomplete upstream tasks, keeping complex multi-session workflows synchronized.

Managing task claiming and hierarchical decomposition involves breaking large epics into smaller sub-tasks and letting agents securely claim available work. This ensures efficient distribution of multi-session tasks without overlapping execution.

Yes, you can use file locking to prevent race conditions during agent coordination. By locking task states, you ensure that only one agent can modify a specific task at a time, avoiding conflicts when multiple agents claim available work simultaneously.

The best way to track long-running multi-session tasks is through a persistent CLI that manages status updates and session protocols. This ensures work remains visible and prioritized across agent restarts and extended development periods.

You should avoid automated task management for multi-agent projects when workflows are simple, single-session, and lack sequential dependencies. For independent, short-lived tasks, the overhead of dependency tracking and file locking outweighs the coordination benefits.