dsh-swarm

When building complex AI applications, coordinating multiple agents often fails due to role drift, unverifiable handoffs, and silent deadlocks. dsh-swarm addresses these issues with a governed framework that ensures every step is traceable and evidence-backed. At its core, it employs six specialist agents with strict single responsibilities: an orchestrator breaks down requirements, a planner creates implementation plans, an executor writes code, reviewers validate work, and a wiki bridge manages knowledge base sync. This isolation prevents role bleeding, and every handoff must carry structured evidence to proceed. The plugin also features a real-time workflow kanban that streams all states to the browser, making the pipeline transparent, while failure recovery through idempotent retries and human-gated reviews enhances system robustness. For teams seeking high-quality, auditable automation workflows, whether in small projects or enterprise-scale development, dsh-swarm reduces errors and boosts efficiency, turning AI agents from unreliable tools into trustworthy collaborators.