auto-swarm-nth

Automate recursive agent swarms by deploying iterative agent waves that perform gap analysis and synthesis until achieving 100% coverage and 10/10 quality on your deliverables. The orchestrator handles parallel dispatch and evaluation automatically across code, design, QA, and documentation tasks.

A recursive agent swarm is a phase-driven orchestration mechanism that dispatches multiple agent waves iteratively. It resolves identified gaps through parallel dispatch, synthesis, and evaluation logic until all deliverables reach complete coverage and maximum quality.

Configure agent orchestration by setting parameters such as max_waves, swarm_size, and max_cost. These control the iteration depth, parallel agent count, and cost gating for the workflow to ensure efficient gap resolution and complete coverage.

Yes, worktree isolation is supported as a configurable option during parallel agent dispatch. This prevents conflicts when multiple agents resolve gaps simultaneously across code, design, QA, and documentation tasks within the swarm.

Use cost gating in multi-wave orchestration to control computational expenses during recursive agent swarms. It caps the max_cost parameter, ensuring iterative gap analysis and agent resolution halt before exceeding budget limits while reaching full coverage.

Yes, multi-wave agent orchestration supports QA and documentation tasks alongside code and design. The swarm deploys iterative waves to eliminate gaps across all these domains until achieving 10/10 quality and complete coverage on every deliverable.