GLWS · AI agents

OpenClaw.
On your own server.

A self-hosted assistant for connecting model-powered tasks with tools and messaging.

What it is for.

Common uses of OpenClaw.

Common uses

  • Task automation
  • Tool integrations
  • Messaging workflows

Keep in mind

Give an agent only the permissions and tools required for its workload. Review each integration before supplying credentials.

Sizing and setup.

Planning examples, not official minimum requirements.

AI agents

Start with the whole stack.

Memory planning example
8 GB
Server environment
Linux / CPU-based VPS
Deployment method
Follow the publisher's documentation
Installed for you?
No. Your preference is saved with your configuration

Before you install

Check the current supported operating systems, deployment methods, dependencies and licence terms. What you need depends on your workload, not just the application's name.

Large datasets and busy workloads can need far more memory, storage or different hardware. Any external API or service subscriptions are separate.

Read the OpenClaw documentation ↗ (opens in a new tab)

Things to decide before you install OpenClaw.

Advice specific to this application.

Start with one bounded workflow

Choose a small task with a clear input and expected result. Add only the messaging connections and tools needed for that task. An assistant that can act through several integrations needs an access plan for each integration, not only a password on its web interface.

Keep model access distinct from tool access

A model-provider credential and a credential that changes your own system carry different permissions. Store them separately, review who can use them and document how to revoke access. Test behaviour with noncritical data before giving an agent access to a working service.

Get the server ready.

Linux guides that help with this setup.

AI and LLMs15 min read

Run OpenClaw on your VPS

Install OpenClaw as an unprivileged user, run its gateway as a service, keep the control interface private and limit who and what the assistant can reach.

Read guide →

A repeatable deployment.

Four steps that make the environment easier to maintain.

  1. 01

    Check requirements

    Read the publisher's instructions and choose a supported installation method.

  2. 02

    Limit access

    Protect the dashboard, credentials and network endpoints before you expose any service.

  3. 03

    Persist your data

    Work out where the application keeps its state and store it separately from replaceable runtime files.

  4. 04

    Test recovery

    Back up the data and configuration, then check that you can restore them.

A checklist to keep.

Run through it before and after you install.

glws / application planningbash

$ application-checklist --name openclaw

[ ] Supported deployment method

[ ] Authentication and access restrictions

[ ] Independent data backup

[ ] Updates and restoration tested

root@glws:~#

OpenClaw questions.

Quick answers before you choose resources.

Does choosing this application install it?

No. The configurator only saves your application preference. It does not connect to any infrastructure or run an installer.

How much memory will I need?

Use the planning example as a starting point only. Check the publisher's requirements and measure the whole stack under a realistic workload.

Who maintains the application?

You do. Self-hosted applications need updates, configuration and recovery planning from the operator. The publisher's documentation describes supported maintenance.

Where can I learn the server basics?

The knowledge base covers Linux access, packages, services, firewalls and backups.

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