Control plane
GA

Govern all your agents

One open control layer for every agent, model, and environment — without rewriting what already works.

Why teams choose OpenController

  • Register and discover external agents (manifest/URL + optional LangChain/CrewAI adapters).
  • Evaluate and gate promotion before anything reaches production.
  • Monitor cost, performance, and security signals in one pane.
  • Enforce policy in the request path — not only in a dashboard.
EvaluationsGuardrailsHITLVersioningObservabilitySpend limits

In the suite

ReboundPad products are designed to work together — or independently if that is where you are today.

OpenController
Architect
Agent Studio
Agent Blocks

AI is everywhere. Control isn’t.

Agents appear across clouds, frameworks, teams, and devices. OpenController is the common layer.

Cloud

Multi-account, multi-region estates.

SaaS

Vendor-embedded agents you still need to govern.

Kubernetes

Ephemeral workloads that need identity and policy.

Devices

Laptops and edge runtimes in the same registry.

Questions we get asked

How is this different from Agent Studio?

Studio is where agents get built. OpenController assumes the agent already exists and answers who can run it, what it can spend, what it can access, and what happened when it did.

Do we have to rewrite our agents?

No. Bring containerized agents and apply identity, permissions, spend limits, access, and observability without rebuilding from scratch.

Where does it run?

Alongside your infrastructure. Agents stay in your containers and repos; OpenController provides centralized visibility and policy.

See OpenController in your environment

Walk through architecture, security fit, and a deployment model that matches your constraints.