Guides·Guide

OpenClaw fleet management and orchestration at scale

Orchestrating containers is solved. Keeping a fleet of long-running agents alive, dense and versioned is the job nobody warns you about.

TL;DR

A fleet is many long-running agents run as one managed estate. Keeping it healthy means auto-recovery, smart placement and density, versioning and per-agent observability. Generic orchestration like Kubernetes moves containers around but does not know what an agent is, so the agent-level operations are still yours.

  • Fleet management for agents is health, recovery, placement, versioning and observability across every instance, 24/7.
  • Kubernetes orchestrates containers, not agents: it will not restart a dead OpenClaw daemon, repair a config or protect a node from a memory spike.
  • You either build an agent-aware control plane or run on one.

What fleet management means for agents

A fleet is what you have when individual agents stop being something you watch one by one and become an estate you manage as a whole. Dozens, hundreds or thousands of long-running OpenClaw agents, each doing real work, each able to fail in its own way, all expected to stay up at once.

Fleet management is the discipline of keeping that estate healthy: knowing the state of every agent, recovering the ones that fall over, placing them on capacity efficiently, versioning what they run, and seeing what each one is doing, without a human in the loop for every event.

What running a fleet actually requires

Underneath "orchestration" sit five jobs that have to run continuously.

  • Health and auto-recovery: detect a silently dead or stuck agent and bring it back automatically, with its state intact.
  • Placement and density: decide which node each agent runs on and pack many safely, because one machine per agent does not scale economically.
  • Versioning and rollback: pin, upgrade and roll back what each agent runs, and absorb OpenClaw updates without breaking live setups.
  • Per-agent observability: see status, resource use and failures per instance, not just an aggregate.
  • Integrations and access: keep each agent connected to the tools, browser, files and channels it needs to do work.

01

In-pod restart

A daemon restarts OpenClaw the instant it dies.

02

Pod recreation

If the pod fails, it is recreated with state intact.

03

Known-good restore

Config auto-repair and a versioned restore.

04

Critical alert

Only if all else fails, with a full post-mortem.

Crashes caught in under 60s, restored in under 90s. A RAM semaphore sheds the lowest-priority agent before a shared node runs out of memory, so density never becomes an outage.

Why Kubernetes and generic orchestration is not enough

It is tempting to assume a container orchestrator solves this. It does not. Kubernetes is excellent at scheduling and restarting containers, but it has no idea what an OpenClaw agent is. It will not restart a daemon that died while the container kept running, repair a corrupted agent config, version an agent's filesystem, or stop one agent's memory spike from taking neighbours down on a shared node. You would build all of that agent-aware logic on top, which is to say you would build a control plane.

That is the real choice: not Kubernetes or not, but build an agent-aware control plane yourself or run on one.

Build versus buy a control plane

Building it is a serious, ongoing engineering investment: a desired-state store, health and recovery loops, a placement and density strategy, version resolution, secret handling and per-tenant observability, all hardened for production and maintained as OpenClaw evolves. For most teams that did not set out to become an infrastructure company, that is the wrong thing to own.

If you want the full reasoning on where to run agents, the guide on the best platforms to host AI agents at scale lays out the options side by side.

A managed control plane for OpenClaw fleets

Molted is a managed control plane for fleets of OpenClaw agents. It treats your desired state as the source of truth and continuously reconciles reality to it: self-healing catches a crash in under 60 seconds and 90% are resolved before the client notices, safe over-provisioning packs roughly 3x more agents per machine without crashing nodes, new instances provision in under 18 seconds, and each agent gets a versioned filesystem, 1,000+ integrations, browser automation and its own mailbox and phone.

The same team operates molted.cloud, where this runs 11,000+ instances for 300+ clients, in the cloud or on-premise. You manage the fleet from one dashboard and API instead of writing the orchestration yourself.

FAQ

Q.01

Can I use Kubernetes to manage a fleet of OpenClaw agents?

You can run OpenClaw on Kubernetes, but Kubernetes orchestrates containers, not agents. It will not restart a dead OpenClaw daemon inside a healthy container, repair a corrupted config, version agent state, or stop a memory spike from taking down neighbours. You would build that agent-aware layer on top yourself.

Q.02

What is the difference between agent orchestration and an agent runtime?

Orchestration places and restarts workloads. A runtime understands the agent itself: it keeps the agent process alive, repairs its config, versions its files and protects shared capacity. Fleet management for OpenClaw needs the runtime layer, which is what a managed platform like Molted provides.

Q.03

How do you stop one agent from crashing the whole node?

Through safe over-provisioning plus active protection: the platform packs agents densely because most stay light, but monitors real usage and steps in before a spike starves the node. That is what lets Molted run roughly 3x more agents per machine than naive one-box-per-agent hosting.

Q.04

How fast does recovery happen across the fleet?

On Molted, self-healing detects a crash in under 60 seconds and resolves about 90% of them before the client ever notices, bringing the agent back with its state intact. Across a fleet, that automatic recovery is the difference between an estate that runs itself and a permanent on-call rotation.

Running a fleet of OpenClaw agents? Manage it from one control plane: self-healing, safe density, versioned and observable.