Govern All
your agents
One open control layer
One open control layer for every agent, model, and environment.
AI is everywhere. Control isn’t.
Agents are appearing across clouds, frameworks, teams and devices.
Multi accounts, multi regions
Vendor embedded agents
Ephemeral workloads
Laptops and edges
This is where Opencontroller comes in
One layer brings them into control.
Automatically discover agents, models, tools, data, and workflows across your entire AI estate.
Evaluate, validate, and govern every agent and workflow before it reaches production.
Monitor agents, applications, APIs, and infrastructure in real time from one control plane.
Turn real-world usage, performance, cost, and security signals into actionable insights.
A dashboard can’t stop an agent.
A policy document can’t stop an agent.
An alert can’t stop an agent.
Control has to happen in the path.
Behind the scenes of your Control Plane
Your entire agent architecture,
One view.
From creation to production.
One control layer. For the whole agent estate.
Agents begin with people, not the cloud. Each AI agent starts as a prompt and moves through your organization before production.
Controls the machines where agents are built.
Controls the environments where agents run.
Lyzr deploys your agents. Everyone else lists them.
Everyone shipped a registry in 2026. A registry tells you an agent exists. It does not deploy it, promote it, or refuse its next call.
| LyzrDeploys and governs | AWS AgentCoreCloud runtime | Microsoft Agent 365Cloud runtime | Google GeAPCloud runtime | ServiceNow AI Control TowerEnterprise governance | Salesforce Agent FabricEnterprise governance | |
|---|---|---|---|---|---|---|
| Deploys your container into your own cluster | ||||||
| Deploys into Bedrock, Vertex and Foundry runtimes | ||||||
| Ordered promotion, separation of duties on prod | ||||||
| Refuses the call in the request path | ||||||
| Enforces on agents in other vendors’ clouds | ||||||
| Runs inside your cloud, no traffic to the vendor | ||||||
| Works without buying the platform around it | ||||||
| Immutable versions, rollback as a pointer move |
The hyperscalers run agents on their own cloud. ServiceNow and Salesforce catalogue agents from a SaaS console. This deploys your container, on your cluster, under your keys, and refuses the call when policy says no.
Every identity attributable.Every decision traceable.Every policy enforceable.
You can’t control what you can’t see.
Setup your Opencontroller in less than a week with zero friction.
Questions we get asked.
Studio is where agents get built, a place to compose, prompt, and ship an agent quickly, run by us. The Control Plane assumes the agent already exists as a container in your repository and addresses the harder questions: who can run it, what it can spend, what it can access, and what happened when it did. Teams can use both: build agents in Studio, then govern the entire fleet, including Studio-built and hand-written agents, in the Control Plane.
No. The Control Plane is designed to govern agents that already exist in your environment. You can bring your current containerized agents and apply controls around identity, permissions, spend limits, access, and observability without rebuilding them from scratch.
The Control Plane runs alongside your existing infrastructure and governs agents wherever they are deployed. Your agents remain in your containers and repositories, while the Control Plane provides centralized visibility, policy enforcement, and operational control.
No. The Control Plane does not build or package your containers. Your team continues to own the agent code, container images, and deployment process. The Control Plane focuses on governing how those agents run, what they can access, and how their activity is monitored.
You can immediately investigate the agent’s activity, review what it accessed or attempted to do, and apply controls to stop, restrict, or isolate it. The Control Plane helps teams respond quickly by providing visibility into agent actions and enforcing the policies you set.
Yes. The Control Plane can govern agents running across different environments, including agents outside your primary cluster. It provides a centralized layer for managing permissions, access, policies, and activity across your agent fleet.