long-running-agent

To coordinate long-running tasks across multiple agents, use an orchestrator-workers core that provides central coordination, dynamic task distribution, and progress consolidation for complex, multi-stage projects.

Progress tracking for multi-agent workflows relies on persistent state storage across sessions, enabling recoverable workflows and automated recovery if a task is interrupted or fails mid-execution.

To enforce accountability in multi-stage task orchestration, apply enforced completion gates that require mandatory review and verification before final closure, ensuring strict quality control.

The best way to manage asynchronous collaboration for complex multi-agent projects is using a central coordination model that handles role assignment, progress persistence, and recoverable workflows.

You need long-running task orchestration for multi-agent systems when handling complex, multi-stage projects that require asynchronous collaboration, persistent progress tracking, and enforced closure to maintain accountability.

Yes, automated recovery is supported for long-running agent workflows through persistent state tracking, allowing you to resume and recover complex multi-stage tasks if sessions are interrupted.