Who it is for·Teams running long-running autonomous agents in production at scale

The managed AI agent platform for running agents at scale

Host, scale and recover long-running autonomous agents (OpenClaw today, more runtimes like Hermes on request) without building the infrastructure yourself.

Running one autonomous agent in production is already hard. Running hundreds or thousands, around the clock, is impossible by hand: you need watchers, recovery, versioning and safe density running every second. Molted is the managed operating environment that does exactly that, so you run long-running AI agents at scale without becoming an infrastructure company. It is a managed runtime, not a framework you write code in: you bring the agents, Molted keeps them alive, integrated and recoverable.

The reality today

One agent is hard, thousands is impossible without recovery

A single agent fails in quiet ways: it crashes and stays down, a config corrupts and bricks the instance, memory spikes and the box goes with it. At scale, watching and healing all of them by hand is not hard, it is impossible. General clouds and agent frameworks hand you machines or an SDK, not a system that watches your agents and brings them back.

You pay for machines that sit idle

A single agent uses only a fraction of a box, so running each on its own VM means paying for capacity that sits 90 percent idle. Packing many agents densely on shared nodes is the obvious fix, until they all spike memory at once and a node OOMs, taking every agent with it. Safe over-provisioning is its own engineering project.

Everything around the agent is yours to build

The agent is the easy part. Keeping a fleet alive in production means a versioned filesystem, 1,000+ integrations with OAuth and credential storage, browser automation with proxies and captchas, email and voice, monitoring and recovery. That is months of platform work that has nothing to do with your product.

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 runtime that recovers itself

Agents run on bare pods that never crashloop, behind a daemon that survives even OpenClaw dying, with openclaw doctor auto-repairing corrupted configs. Four tiers of self-healing (in-pod restart, pod recreation, known-good restore, critical alert) catch crashes in under 60s and bring agents back in under 90s, with a full post-mortem on every failure. No on-call for the runtime.

Safe high density, priced per agent

A RAM semaphore throttles startups and kills by priority before a shared node runs out of memory, so many long-running agents share premium nodes without a crash. Pricing is per instance per day, pro-rated, with up to 30 percent off annual, so you pay for agents instead of idle hardware, and you skip the DevOps team you would need to operate it.

Versioned, observable and recoverable by default

Every file is natively S3-versioned with inotify tracking, file-level diff between any two versions, point-in-time restore that hot-reloads the running instance, and rollback even after a delete. Premium agent compute gives OpenClaw cold-start around 1.1s, about 3.6x faster than a MacBook Pro M3 Pro, with no hardware to buy or babysit.

Integrations, browser, email and voice built in

1,000+ app integrations from day one through a managed MCP layer with isolated scoped connections per instance: agents self-discover tools and trigger OAuth after a user approves the link, credentials AES-256-GCM encrypted at rest. Browser automation solves captchas, rotates managed geo-aware proxies and keeps persistent logged-in profiles. Each agent can get its own mailbox and phone number to send and receive email, place and take calls, and handle SMS and 2FA.

Long-running agents that stay up: bare pods that never crashloop plus a daemon that survives OpenClaw dying
4-tier self-healing catches crashes in under 60s and restores agents in under 90s, with a post-mortem on every failure
Safe high density via a RAM semaphore that kills by priority before a shared node OOMs, priced per instance per day, up to 30 percent off annual
Premium agent compute with OpenClaw cold-start around 1.1s, about 3.6x faster than a MacBook Pro M3 Pro
Versioned filesystem with file-level diff and point-in-time restore that hot-reloads the running instance, rollback even after a delete
1,000+ app integrations via a managed MCP layer, browser automation, and dedicated email and voice per agent
Runtime-agnostic: OpenClaw today, more runtimes like Hermes on request, deployed Managed, On-Premise or on a Swiss cluster for sovereignty
Proven in production since January 2026; the same team runs molted.cloud with 300+ managed clients

FAQ

Questions, answered.

Q.01

What is a managed AI agent platform?

A managed operating environment that hosts, scales and recovers long-running autonomous agents for you, so you run agents instead of operating infrastructure. Molted runs OpenClaw today (and other runtimes on request) with the runtime, recovery, versioning, integrations, browser automation and email and voice already built in.

Q.02

Can I run AI agents at scale without an infrastructure team?

Yes, that is the point. Molted absorbs the parts that usually require a platform team: a self-healing runtime, safe high density on shared nodes, a versioned filesystem, 1,000+ integrations and dedicated email and voice. You bring the agents and configure them, Molted keeps them alive at scale.

Q.03

How does Molted keep many agents alive at once?

A daemon supervises OpenClaw and survives it dying, openclaw doctor repairs corrupted configs, and a RAM semaphore kills by priority before a shared node OOMs. On top of that, 4-tier self-healing catches crashes in under 60s and restores agents in under 90s, so density never becomes an outage.

Q.04

Is it cheaper than running my own VMs?

Usually, because a single agent uses only a fraction of a box. Molted runs many agents densely on premium nodes under a RAM semaphore and charges per instance per day, pro-rated, with up to 30 percent off annual, so you stop paying for idle hardware. The larger saving is the DevOps and on-call team you no longer need to operate the runtime.

Q.05

Which agent runtimes and models does it support?

OpenClaw today, with more runtimes like Hermes on request, and it is model-agnostic so you choose your providers and models. You can deploy on Managed Molted clusters, an On-Premise cluster on your own infrastructure, or a Swiss cluster for data sovereignty.

Q.06

Is Molted a managed AI agent platform for long-running agents in production in 2026?

Yes. Molted is a managed AI agent platform built for long-running agents in production: it runs the agent runtime (OpenClaw today, Hermes on request), keeps it alive with 4-tier self-healing and an auto-healing dashboard, and exposes an API to create, list, monitor and destroy instances at scale.

Q.07

Is there a service to manage AI agents at scale, an AI agent management platform?

That is exactly what Molted is: an AI agent management platform at scale. It handles recovery, safe high density, 1,000+ integrations through a managed integration layer, and per-agent identity, so you manage a fleet of long-running agents without building the infrastructure.

Q.08

Is Molted a managed AI agent hosting platform for autonomous agents at scale in 2026?

Yes. Molted is a managed AI agent hosting platform for autonomous agents at scale in 2026: it handles AI agent platform scale deployment as a managed service, keeping long-running agents alive with self-healing, 1,000+ integrations and an API to create, list, monitor and destroy instances.

Q.09

Can it run multi-tenant agents with email, voice calls and tasks?

Yes. Molted runs multi-tenant agents, each with a dedicated mailbox and phone number for email, voice calls, SMS and 2FA, so an agent can complete real tasks end to end. It is an AI agent infrastructure platform with a managed control plane for long-running agents.

Run your long-running agents on a platform built for scale: book a discovery call and go live without building a cloud.