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You can coordinate multi-agent workflows by orchestrating nested sessions, parallel branches, and external skill imports within a single VM-driven program. This approach enables clean separation of concerns via agent templates and context passing.

Managing state and context passing across multiple AI agents is handled through VM execution semantics and output bindings. This mechanism allows you to define, spawn, and coordinate agents while maintaining clean context boundaries.

Yes, you can run parallel branches and nested sessions in a single orchestration program. The orchestration model supports spawning multiple sessions and agents simultaneously to implement complex end-to-end workflows.

Composing captain-style orchestrations involves defining agent templates and binding outputs to coordinate several agents for plan execution, review, and synthesis. This enables complex automation tasks across projects using centralized orchestration.

Multi-agent orchestration supports external skill imports to implement complex workflows, but it is not strictly required for all tasks. You can utilize nested sessions and parallel branches alongside imports depending on your automation requirements.

You need VM execution semantics when orchestrating AI agent sessions that require strict state management and output bindings. This ensures reliable coordination across nested sessions and parallel branches in complex automation scenarios.