ralph-loop

Multi-agent execution is coordinated by orchestrating end-to-end workflows with non-overlapping slice ownership and durable state under .agents/state/ralph-loop. It manages RFC intake, plan creation, and parallel execution across isolated worker worktrees.

The Plan-Do-Check-Act loop for multi-agent orchestration is a durable execution cycle that iterates per slice until blockers are resolved. It integrates explicit review gates and verification steps toward end-to-end completion and release readiness.

Interference during parallel agent exploration is prevented by assigning non-overlapping worker worktrees that isolate slices. This ensures each agent operates independently without drift or conflict during RFC work or bugfix iterations.

Yes, worktrees support delegated multi-step collaboration by isolating slice ownership per agent. Durable state artifacts are maintained per slice, enabling structured documentation, integrated handoffs, and explicit review reporting.

The best way to add review gates is by integrating explicit checkpoints within the orchestration loop. Built-in reporting workflows trigger source-quality checks and manage handoffs to the orchestrator before proceeding.

Durable state tracking is needed for multi-agent development loops when executing complex, multi-step tasks end-to-end. It reduces manual coordination overhead and prevents drift by recording per-slice artifacts and progress.