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Coordinate multiple agents on a shared task list using a staged pipeline that routes inputs, creates subtasks, and orchestrates workers. It handles parallel and sequential execution across subagents for complex dependency graphs.

You need multi-agent orchestration for decomposable tasks with parallelizable subtasks, cross-module collaboration, and complex dependency graphs. It is ideal for coordinating UI changes, refactors, and multi-service tasks where subtasks depend on each other.

Agent orchestration handles task dependencies and staged handoffs through inter-agent messaging within a staged pipeline. It defines worker orchestration, progress monitoring, and a verification loop with retry and pause logic to ensure reliable execution.

Yes, you can run parallel and sequential subtasks across different modules. The coordinator routes inputs to N agents, managing execution across subagents to improve collaboration, throughput, and reliability for multi-module work.

If a subagent fails during task execution, the verification loop triggers retry and pause logic. This mechanism monitors progress and ensures reliable coordination across the staged pipeline before completing the shared task list.

Multi-agent coordination is designed for decomposable tasks with parallelizable subtasks and complex dependency graphs. For simple, single-step tasks without cross-module collaboration, a single agent approach is more efficient.