TaskPeace › How to manage a fleet of Claude Code / Cursor agents

How to manage a fleet of Claude Code / Cursor agents

Run them off one shared, prioritized queue over MCP. Each agent pulls its highest-value next task, leases it so no one else takes it, ships it, and loops — while you only step in for money, prod, or anything irreversible. That's a fleet you direct, not a row of terminals you babysit.

The four things that break past five agents

1. Collisions — two agents, same file. → Solve with leases + scope.
2. Silent stalls — which one is stuck? → A queue + leases surface in-progress vs done vs blocked.
3. The "what next?" tax — you become a human router. → Let the queue decide.
4. Running them at all in parallelThe shared-queue pattern.

The setup

Connect your agents to TaskPeace over MCP (one line). Point each session at the queue; they self-divide the work via leases, ship continuously, and only escalate the hard gates to you. Add more sessions to add throughput — the fleet rebalances on its own.

This is the difference between the model (the engine) and the control layer (the steering wheel). TaskPeace is the steering wheel.

Get early access →  Read the fleet guide

Related How do I run multiple AI agents at once? → How do I stop agents colliding? → What should my agent do next? → TaskPeace vs CrewAI vs LangGraph →

FAQ

Does TaskPeace work with Claude Code, Cursor, and Codex?
Yes — it is MCP-native, so any MCP-capable agent connects in one line and starts pulling prioritized tasks.
Can multiple sessions work the same project at once?
Yes. Leases stop them taking the same task, so multiple sessions on one project self-divide the work and add throughput.
Do I lose control if agents run continuously?
No. You set the priorities and the agents only act autonomously on reversible work — money, production deploys, and irreversible actions always wait for you.