Who it is for·Companies running OpenClaw on their own infrastructure (on-premise)

Run OpenClaw on your own infrastructure

Self-host OpenClaw at scale on your own servers, on-premise, with Molted's managed control plane. Your data never leaves, and the runtime stays alive for you.

If you already run infrastructure, or your data cannot leave the building, self-hosting OpenClaw is the obvious path. Your servers run 24/7 anyway, so long-running agents cost nothing extra in idle, and the data stays on your hardware. The catch is operations: keeping a fleet of agents alive, recovering and integrated, on your own infra, is a platform project. Molted's On-Premise model gives you the managed control plane on your servers, so you self-host without becoming the on-call team.

The reality today

Self-hosting OpenClaw in-house means operating it yourself

On your own servers, every OpenClaw failure is your team's problem: silent crashes, corrupted configs, version updates that break setups, recovery. Doing that for one agent is work. For a fleet, around the clock, it is a permanent on-call rotation.

You have infrastructure, but no agent runtime on top of it

Your servers and compliance are sorted, but a server is not an agent runtime. It will not keep OpenClaw alive, version its state, ship integrations, or stop a node from running out of memory when agents spike. Building that layer in-house is months of work unrelated to your product.

Idle is not your problem, ops is

Because your infrastructure already runs continuously, the usual cost objection to long-running agents disappears, there is no extra idle bill. The real blocker is keeping the agents alive, integrated and recoverable on your own hardware.

The problem at scale

One agent

online

Easy to babysit.

A fleet, by hand

onlinecrashedout of memoryconfig broken
Every red, amber or grey square is a silent outage: an agent down until someone notices. One is manageable. Hundreds, each failing in its own way around the clock, is impossible without watchers and automatic recovery.

How Molted helps

A managed control plane on your own servers

Molted On-Premise runs on your infrastructure: the same self-healing runtime, bare pods that never crashloop, a daemon that survives OpenClaw dying, openclaw doctor for configs, and a RAM semaphore for safe density. You self-host; Molted operates the control plane. No on-call for the runtime.

Your data never leaves

Agents, state and credentials stay on your hardware. Run fully on-premise, or on a dedicated Swiss cluster for data sovereignty. Credentials are AES-256-GCM encrypted at rest, and nothing has to round-trip to a third-party cloud.

Long-running is free upside on infra you already run

Your servers run 24/7 regardless, so always-on agents add no marginal idle cost. You get the runtime model, general-purpose agents that stay available and act on their own, without a cloud bill on top.

Integrations, versioning and scale, in-house

1,000+ integrations through a managed layer, a versioned filesystem with point-in-time restore that hot-reloads the running instance, and safe high density, all on your own infrastructure. Pin a different OpenClaw version per agent and roll forward independently.

On-premise deployment on your own infrastructure, or a Swiss cluster for data sovereignty
The same 4-tier self-healing and daemon-survives-OpenClaw-dying, running on your hardware
Your data never leaves: agents, state and credentials stay in-house, AES-256-GCM at rest
Long-running agents at zero marginal idle cost on infrastructure that already runs 24/7
1,000+ integrations and a versioned filesystem with point-in-time restore, in-house
A RAM semaphore for safe high density, so many agents share your hardware without crashing it
Runtime-agnostic: OpenClaw today, more runtimes like Hermes on request

FAQ

Questions, answered.

Q.01

Can I run OpenClaw on-premise on my own servers?

Yes. Molted's On-Premise model runs the managed control plane on your own infrastructure, so you self-host OpenClaw with self-healing, integrations and versioning, without operating the runtime yourself.

Q.02

Does my data leave my infrastructure?

No. On-premise, agents, state and credentials stay on your hardware. There is also a Swiss cluster option for data sovereignty. Credentials are AES-256-GCM encrypted at rest.

Q.03

Do I still have to operate the OpenClaw runtime myself?

No. That is the point of the managed control plane: Molted handles recovery, density and the runtime operations on your servers, so your team does not become the on-call rotation.

Q.04

Is it expensive to run long-running agents on my own infrastructure?

No. Your infrastructure already runs continuously, so always-on agents add no extra idle cost. You get persistent agents without a cloud bill.

Q.05

Which runtimes does on-premise support?

OpenClaw today, and more runtimes like Hermes on request. The managed control plane is runtime-agnostic.

Q.06

Is there an on-premise autonomous AI agent platform for long-running agents on Kubernetes with compliance in 2026?

Yes. Molted is an on-premise autonomous AI agent platform for long-running agents: it runs the managed control plane on your own Kubernetes infrastructure, so agents, state and credentials stay in-house for compliance, with a Swiss cluster option for data sovereignty.

Q.07

Can I run a managed control plane for self-hosted AI agents and bring my own infrastructure?

That is the Molted on-premise model: a managed control plane and dashboard for self-hosted AI agents where you bring your own infrastructure. You self-host the agents; Molted operates the runtime (recovery, density, integrations) on your servers.

Q.08

Can I run an AI agent platform with self-hosted workers and a managed dashboard and control plane?

Yes. Molted gives you an AI agent platform with self-hosted workers on your own infrastructure plus a managed dashboard and control plane: you bring the hardware, Molted operates the runtime (recovery, density, integrations) and gives you the dashboard to run it.

Run OpenClaw on your own infrastructure, managed. Book a discovery call to scope an on-premise deployment.