Mission control for AI agents
Your agents, always on the most important thing.
TaskPeace is the queue that decides what every AI agent works on next — and keeps your whole fleet shipping, around the clock. You set the priorities; it runs the rest.
Get early access → Read the fleet guide
It decides — it doesn't just store.Every agent pulls the single highest-value next task. Not a stale list to manage — an answer.
It coordinates the whole fleet.Leases and scope mean ten agents split the work cleanly instead of colliding on the same files.
It never stops — and never needs babysitting.Agents loop until the queue is dry. It only taps you for the calls that need a human: money, prod, anything irreversible.
Why a control layer, not another framework
Agent frameworks (CrewAI, LangGraph) wire agents together. Observability tools watch them. TaskPeace owns the layer in between — the decision: what's most important to do next, across your whole fleet, and keeping it shipping. The model is the engine; TaskPeace is the steering wheel.
Built for people running a fleet of agents
If you've gone from one AI coding agent to ten — and turned into a human task-router refereeing collisions and checking which one stalled — TaskPeace is the layer that gives you that time back.