What "multiple agents" means in OpenClaw
OpenClaw supports multiple agents on the same gateway out of the box. Each agent is isolated: its own identity, its own workspace and files, its own skills and model routing, and its own memory and state. They do not share context unless you wire them to.
You decide which incoming channel reaches which agent with bindings: a chat, a phone number, an email inbox or a webhook is bound to a specific agent, so one OpenClaw install can run a dev agent, a support agent and a marketing agent side by side without them stepping on each other.
- Isolated agents: separate identity, workspace, skills, model and memory per agent.
- Bindings: deterministic routing from a channel or account to one agent.
- Per-agent state: each keeps its own history and files between tasks.
Running a few agents on one machine
On a single machine the setup is straightforward. You run one gateway, add each agent with its own configuration, give each one an identity and the skills it needs, then bind the channels that should reach it. For a personal stack or a handful of roles this is enough, and it is free beyond your own compute and the model provider you use.
The OpenClaw documentation and community setups (one-command multi-agent installs, group routing, safe config merges) cover this path well. It is the right call when the agents live on hardware you watch yourself.
Where multi-agent setups start to break
The cracks show the moment these agents need to stay up without you watching.
- Shared memory: agents run on the same machine, so one agent spiking in RAM can starve or crash the others.
- Silent death: an autonomous agent crashes and simply stays down until a human notices, which on a single box means you.
- Config drift: merging configs for many agents corrupts setups, and one bad config can brick an instance.
- Version updates: an OpenClaw update that fixes one agent can break another, and you absorb that across every agent on every release.
- No isolation between owners: a single shared install is fine for your own agents, not for agents that belong to different clients.
One agent
Easy to babysit.
A fleet, by hand
Multiple agents is not the same as multi-tenant
Running several agents for yourself is a multi-agent setup. Running agents that belong to different customers, each isolated, billed and observed on its own, is multi-tenancy, and that is a harder problem with its own failure modes.
If your goal is to give every client or every employee their own agent, you are no longer doing a config exercise; you are operating a platform. That distinction decides whether you self-host or run on managed infrastructure.
Running many agents at scale, without operating a platform
Once you need many OpenClaw agents online around the clock, recovering on their own, isolated and versioned, you are running infrastructure whether you meant to or not. A managed OpenClaw runtime takes that layer off your plate: it keeps each agent alive with self-healing recovery, runs many agents without one machine per agent, versions each agent's filesystem and ships 1,500+ integrations, browser automation and email and voice out of the box.
Molted is one such managed operating environment for OpenClaw. The same team runs molted.cloud, where this approach keeps agents alive for 300+ clients, so you run agents instead of babysitting a fleet of them.