Give AI agents real work.
Keep every step under control.
Caged manages how agents collaborate, retain context, follow policy, request decisions, and deliver outcomes—across software, research, operations, and any structured work.
Research objective
Mira · running
Map signals
Atlas · complete
Validate claims
Sage · review
Draft narrative
Nova · running
One system for accountable work
From a request to a reviewed, traceable outcome.
Give agents real responsibility
Define the objective, assign the right people and agents, then let Caged coordinate the work—not just the compute.
See how work connects
Dependencies, delegation, decisions, runs, and outputs stay visible in one live Work Graph.
Keep control without hovering
Policies and approval gates intervene at the moments that require human judgment.
Retain useful context
Every task carries its evidence, decisions, messages, and outputs forward without losing provenance.
Control without micromanagement
Agents move quickly. Governance moves with them.
Apply policies to tools, data, budgets, handoffs, and delivery. Caged pauses only when judgment is needed and preserves the complete decision trail.
Approval required
External delivery · Research brief
Approve six external sources?
Sage verified each material claim against primary sources. Two caveats are included in the final output.
6/6
verified
0
policy risks
$1.84
spent
Agents use the tools you choose
Bring Codex, Claude Code, custom agents, and your own systems.
Caged sits above execution providers. Sandboxes remain available when isolation matters; the product value is coordination, context, policy, and accountable delivery.
POST /v1/tasks
{
"objective": "Prepare a market-entry brief",
"team_id": "strategy",
"policy": "external-research",
"delivery": { "requires_approval": true }
}Pricing that grows with useful work
Start with one team. Scale the coordination.
Early access remains free while the task, governance, and retention model is finalized. No sandbox-count pricing pretending to represent the product.
Join early access