orchestrator

To orchestrate multi-agent tasks in parallel, use an automation tool to spawn CLI subagents, enforce concurrency limits, and maintain shared state via Serena Memory. Define a YAML task set listing agents and tasks, then execute the orchestrator to manage the lifecycle.

Serena Memory coordinates state across parallel subagents by acting as a shared state bus for session-wide updates. It tracks the task board, enabling automated monitoring of progress, status polling, and result collection across backend, frontend, mobile, and QA domains.

The lifecycle for automated multi-agent task execution includes Plan, Setup, Execute, Monitor, Verify, and Collect phases. This sequence handles deterministic task spawning, parallel limits, retries, automatic failure handling, and result aggregation to deliver traceable outcomes.

Yes, you can limit concurrency and retries when spawning CLI subagents. The orchestration process enforces deterministic task spawning using configurable MAX_PARALLEL limits and MAX_RETRIES, ensuring controlled parallel execution and automatic failure handling.

Yes, multi-agent orchestration supports full-stack backend and frontend tasks. It provides cross-domain applicability across backend, frontend, mobile, and QA environments, coordinating CLI subagents to run tasks in parallel while maintaining shared state.