Who it is for·Enterprises running autonomous AI agents on their own infrastructure
On-premise AI agents
Run autonomous AI agents on your own infrastructure, on-premise and air-gapped if you need it, with a managed control plane that keeps the fleet alive. Your data never leaves, whichever runtime you run.
For the largest regulated enterprises, the question is not whether to run autonomous agents, it is where. Policy data, claims, trades and customer records cannot leave the building, and for many security teams even running in a vendor's cloud, or peering a VPC into it, does not clear the bar. They want agents on their own metal, under their own identity provider, potentially air-gapped, with nothing phoning home. That is on-premise, and most agent platforms cannot do it because they are SaaS that depends on their own cloud. Molted runs its managed control plane on your infrastructure, runtime-agnostic across OpenClaw and Hermes, so you get the operating model of a cloud platform with the control of on-premise.
The reality today
For regulated enterprises, the data cannot leave
When agents touch claims, trades or customer records, the security function will not accept a third party operating a control plane in a cloud account, and the regulator reinforces it. Sovereign hosting and even VPC peering still put your data in someone else's cloud. The requirement is your own metal, air-gapped if needed.
A datacenter is not an agent runtime
You have servers, identity and compliance sorted, but a server does not keep an agent alive. It will not recover a crash, version agent state, ship 1,000+ integrations, or stop a node from running out of memory when agents spike together. That whole layer is yours to build, and it has nothing to do with your core business.
Operating a fleet in-house is a permanent platform team
Keeping 1,000+ agents alive, recovered, integrated and governed on your own infrastructure, around the clock, is not a project. It is a dedicated team and an on-call rotation, forever, maintaining a runtime treadmill as agent versions and integrations keep changing.
The problem at scale
One agent
Easy to babysit.
A fleet, by hand
How Molted helps
A managed control plane on your own metal
Molted On-Premise runs on your infrastructure: the same self-healing runtime, bare pods that never crashloop, a daemon that survives the agent dying, auto-repair for corrupted configs, and a RAM semaphore for safe density. You provide the hardware; Molted operates the control plane. No on-call for the runtime.
Your data never leaves, air-gapped if you need it
Agents, state and credentials stay on your hardware. Run fully on-premise, air-gapped from the internet, or on a dedicated Swiss cluster for data sovereignty. Credentials are AES-256-GCM encrypted at rest, integrated with your identity provider, and nothing round-trips to a third-party cloud.
Runtime-agnostic: OpenClaw and Hermes, one control plane
Run OpenClaw and Hermes side by side on the same on-premise deployment, each with its own pinned version and isolation, on any AI provider. The control plane does not care which runtime you standardize on, and neither do your compliance requirements.
The economics flip when the hardware is yours
Your servers already run 24/7, so always-on agents add no marginal idle cost, the objection that makes cloud agents look expensive disappears. On top, you get 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 in-house.
FAQ
Questions, answered.
Q.01
What are on-premise AI agents?
Autonomous AI agents that run entirely on your own infrastructure, in your own datacenter, rather than in a vendor's cloud. With Molted, a managed control plane operates them on your hardware, air-gapped if needed, so agents, state and credentials never leave your control.
Q.02
Why isn't sovereign hosting or VPC peering enough for regulated enterprises?
Sovereign hosting keeps your data in a region but still inside a provider's cloud, and VPC peering still lets a third party operate a control plane in a cloud account. For the most regulated data, security teams require the whole system on your own metal, potentially disconnected from the internet. That is true on-premise.
Q.03
Can on-premise AI agents run fully air-gapped?
Yes. Molted's architecture is built to be portable rather than to phone home: the source of truth, recovery, density and integrations all run locally as a self-contained cluster, so it can run air-gapped with no dependency on a vendor cloud.
Q.04
Do we have to operate the agent runtime ourselves?
No. That is the point of the managed control plane: Molted handles recovery, safe density and runtime operations on your servers, so your team keeps the hardware and the data but skips the on-call rotation.
Q.05
Which runtimes and AI providers do on-premise AI agents support?
OpenClaw and Hermes run on the same on-premise control plane, side by side, each pinned per instance. They run on Anthropic, OpenAI, Gemini, OpenRouter, xAI and a dozen more providers, and you can swap providers without changing what your agent does.
Q.06
Is it expensive to run always-on agents on-premise?
No. Your infrastructure already runs continuously, so always-on agents use capacity you already pay for and add no marginal idle cost. The idle-cost objection that applies to cloud agents disappears once the hardware is yours.
Q.07
Can I run a managed control plane for self-hosted AI agents on my own infrastructure?
Yes. That is the Molted on-premise model: you bring the infrastructure and keep the data in-house, and Molted operates the runtime (recovery, density, integrations) and gives you the dashboard and control plane to run the fleet.
Q.08
Is there an on-premise AI agent platform for Kubernetes with compliance?
Yes. Molted is an on-premise AI agent platform: it runs the managed control plane on your own Kubernetes infrastructure, so agents, state and credentials stay in-house for compliance, air-gapped if needed, with a Swiss cluster option for data sovereignty.
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