I Built an Orchestration Layer to Manage Multiple Cursor Agents

I Built an Orchestration Layer to Manage Multiple Cursor Agents Once I started using multiple coding agents in parallel, I ran into an unexpected problem: The bottleneck was no longer code generation. It was coordination. Running one agent feels magical. Running five or six agents at once feels like managing a messy engineering team with no org chart, no ownership boundaries, and no reliable way to validate what just happened. That was the reason I built SAMAMS: Sentinel Automated Multiple AI Management System It is an orchestration layer for managing multiple Cursor agents like an actual engineering organization. The problem At first, using more agents sounds like obvious leverage. More agents should mean: more parallel work faster iteration less time writing repetitive code But in practice, I kept hitting the same problems: multiple agents touched the same files work was duplicated outputs conflicted with each other one agent could quietly drift off course and burn tokens I still had