parallel

Running Ralph loops concurrently requires a fork context to support background task execution, which provides isolated state for each agent workload and aggregates results. Invoke the parallel workflow to coordinate and execute independent loops in the background.

Parallel agent orchestration coordinates independent agent workloads to execute Ralph loops concurrently, eliminating serial bottlenecks and increasing throughput for batch processing and multi-task automation.

Yes, a fork context is required to execute parallel background tasks, providing isolated state and basic error handling for concurrent Ralph loops and aggregate result aggregation.

Yes, you can trigger concurrent loops using natural language cues like "parallel loops" or "run in parallel," or by directly invoking the /parallel command to start the workflow.

Running independent tasks in parallel requires task independence; the workflow provides isolated state and basic error handling but does not support dependent serial task chains, limiting its use to batch processing and parallel reviews.