quaero.
Remote Company Agent Control. One place to see, steer, and stop every AI agent running across your organization.
From scattered to governed
Agents multiply faster than the tooling around them. Quaero is the layer that makes the fleet one thing you can reason about.
Agents are fragmented.
- One agent in Claude, one in ChatGPT, one in an internal script
- No unified visibility across tools or teams
- No consistent controls or lifecycle management
- Weak auditability — who owns what, who approved it
- Context lost on process restarts
Agents become manageable.
- Live roster of every agent across every tool
- Owner and team attribution on every session
- Central logs, status, and current task for each agent
- Policy-based lifecycle controls — start, steer, stop
- Org-scoped isolation: your agents, your data, always
Seven primitives. Complete control.
Quaero exposes a clean surface for the full agent lifecycle. Every operation is authenticated, org-scoped, and logged.
› spawn_agent()
authenticated · org-scoped · logged
Launch a new agent with a task definition and ownership context.
What the audit trail keepsRecorded with owner, org scope, and task definition.
› spawn_agent()
authenticated · org-scoped · logged
Launch a new agent with a task definition and ownership context.
What the audit trail keepsRecorded with owner, org scope, and task definition.
Org-scoped by default
Every request is tied to an authenticated identity. Org context is resolved from the credential — agent visibility and controls never cross your boundary.
Bring the fleet under one command
Quaero is available as part of the Slaunt platform. Request access and connect your first agents.