📣 Introducing $2.95/Hr H100, H200, B200s, and B300s: train, fine-tune, and scale ML models affordably, without having to DIY the infrastructure   📣 Run Saturn Cloud on AWS, GCP, Azure, Nebius, Crusoe, or on-prem. 📣 Introducing $2.95/Hr H100, H200, B200s, and B300s: train, fine-tune, and scale ML models affordably, without having to DIY the infrastructure   📣 Run Saturn Cloud on AWS, GCP, Azure, Nebius, Crusoe, or on-prem. 📣 Introducing $2.95/Hr H100, H200, B200s, and B300s: train, fine-tune, and scale ML models affordably, without having to DIY the infrastructure   📣 Run Saturn Cloud on AWS, GCP, Azure, Nebius, Crusoe, or on-prem.
← Back to Blog

How to Deploy OpenClaw on Saturn Cloud

A guide to deploying OpenClaw, the open-source AI agent, on Saturn Cloud. Covers resource setup, Node.js installation, environment variable configuration, messaging platform integration, and running OpenClaw as a persistent deployment or batch job.

How to Deploy OpenClaw on Saturn Cloud

OpenClaw is an open-source AI agent that connects to messaging apps like WhatsApp, Telegram, Discord, and Slack and handles tasks there. Browse the web, run commands, manage files, automate workflows. It’s picked up over 300,000 GitHub stars since launching, which tells you people are actually using it.

The catch is OpenClaw needs deep system access to do any of that, like file management, shell commands, browser control, and most people’s laptops are full of things they’d rather an AI agent not touch. Running it on a personal machine is a real security risk. A better move is an isolated cloud server.

Most guides start there and then walk you through VPS provisioning, SSH hardening, Docker setup, firewall config, systemd, a full ops afternoon before your agent does anything. Saturn Cloud skips that. You get an always-on, isolated compute environment with a managed lifecycle. This is how to deploy OpenClaw on it.

Prerequisites

Before you start, you’ll need:

  • A Saturn Cloud account (free tier works for testing)
  • An API key from your preferred LLM provider: Anthropic, OpenAI, or another OpenAI-compatible endpoint
  • A messaging platform you want to connect OpenClaw to (Discord is the easiest to start with)

These prerequisites ensure a seamless configuration during provisioning.

Step 1: Create a Saturn Cloud Resource

Log in to Saturn Cloud and create a new resource:

  1. Click New Resource and select Deployment (not a Jupyter server – you want a persistent, always-on process)
  2. Set the following:
    • Name: openclaw
    • Image: Use the default Python image (we’ll install Node.js manually)
    • Size: Start with a Medium instance (2 cores, 4 GB RAM) – this is more than enough for OpenClaw
    • Network: Enable the external URL if you want to access the OpenClaw dashboard remotely

Once these resource specifications are defined, the container is ready for environment variable configuration.

Step 2: Set Environment Variables

Under the Environment Variables section of your resource, add your LLM provider credentials. At minimum:

ANTHROPIC_API_KEY=sk-ant-your-key-here

Or if you’re using an OpenAI-compatible provider:

OPENAI_API_KEY=sk-your-key-here
OPENAI_BASE_URL=https://api.openai.com/v1

Keep these in Saturn Cloud’s environment variable manager rather than hardcoding them in scripts. They’re encrypted at rest and injected at runtime.

Step 3: Install Node.js and OpenClaw

OpenClaw requires Node.js 22 or higher. Saturn Cloud’s default images include Python, so you’ll need to install Node.js in your startup script.

In your resource’s Start Script (the command that runs when the deployment starts), add:

bash

#!/bin/bash

# Install Node.js 22 via NodeSource
curl -fsSL https://deb.nodesource.com/setup_22.x | bash -
apt-get install -y nodejs

# Install OpenClaw globally
npm install -g openclaw@latest

# Saturn Cloud Deployments only route external traffic to port 8000. 
# Bind OpenClaw to 0.0.0.0 (not localhost) to access the dashboard. 
export PORT=8000 
export HOST=0.0.0.0

# Run the OpenClaw gateway
openclaw gateway --headless --port $PORT --host $HOST

The --headless flag tells OpenClaw to run without the interactive terminal UI, which is what you want for a deployment that stays running in the background.

Note: If you’ve already completed the OpenClaw onboarding process locally and have a config.json file, you can upload it to your Saturn Cloud resource instead of running onboarding from scratch. More on that in the configuration section below.

Step 4: Configure OpenClaw

There are two ways to handle configuration:

Option A: Upload an Existing Config

If you’ve already set up OpenClaw locally (or on another machine), you can export your configuration and upload it to Saturn Cloud:

  1. On your local machine, find your OpenClaw config directory (usually ~/.openclaw/)
  2. Upload config.json and any custom skills to your Saturn Cloud resource’s workspace
  3. Update your start script to point OpenClaw to that config:

bash

#!/bin/bash

curl -fsSL https://deb.nodesource.com/setup_22.x | bash -
apt-get install -y nodejs
npm install -g openclaw@latest

# Use the uploaded config
export OPENCLAW_HOME=/home/jovyan/workspace/.openclaw

# Route traffic correctly for Saturn Cloud 
export PORT=8000 
export HOST=0.0.0.0

openclaw gateway --headless --port $PORT --host $HOST

Applying this configuration approach maps your local environment state directly to the cloud runtime.

Option B: Configure via the Dashboard

If you enabled an external URL on your Saturn Cloud resource, you can access the OpenClaw dashboard in your browser to complete setup:

  1. Start your Saturn Cloud deployment
  2. Open the external URL
  3. OpenClaw’s web UI will walk you through selecting your LLM provider, connecting messaging platforms, and configuring your agent’s persona

Saving these settings through the UI finalizes the deployment state, readying the agent for your messaging platform integrations.

Step 5: Connect a Messaging Platform

OpenClaw supports WhatsApp, Telegram, Discord, Slack, Signal, iMessage, and more. Discord is the simplest to set up for testing:

  1. Create a Discord server (or use an existing one)
  2. In the OpenClaw dashboard or config.json, add your Discord bot token
  3. OpenClaw will connect to your Discord server and respond to DMs or mentions

For WhatsApp or Telegram, follow the OpenClaw platform docs – the setup involves scanning a QR code (WhatsApp) or creating a bot via BotFather (Telegram).

Step 6: Verify It’s Running

Once your Saturn Cloud deployment is running, verify OpenClaw is active:

  • Check the Saturn Cloud logs for your deployment – you should see OpenClaw’s gateway startup messages
  • Send a message to your connected platform (e.g., DM your Discord bot) and confirm you get a response
  • If you have the dashboard enabled, visit the external URL to see OpenClaw’s status and connected channels

Successful validation of these endpoints confirms your containerized gateway is actively processing events.

Adding Custom Skills

One of OpenClaw’s strengths is its skill system. Skills are directories containing a SKILL.md file that tells the agent how to use specific tools or follow specific workflows.

To add custom skills on Saturn Cloud:

  1. Create a skills/ directory in your Saturn Cloud workspace
  2. Add your skill directories inside it
  3. Update your OpenClaw config to point to the custom skills path:

json

{
  "skills": {
    "customPath": "/home/jovyan/workspace/skills"
  }
}
  1. Restart your deployment to pick up the new skills

This is useful if you want OpenClaw to integrate with internal tools, run specific automation workflows, or connect to APIs that aren’t covered by the default skill set.

Running OpenClaw as a Saturn Cloud Job

If you don’t need OpenClaw running 24/7 but want to use it for batch tasks – processing a queue of requests, running scheduled automations, or doing periodic data collection – you can run it as a Saturn Cloud job instead of a deployment.

Create a script that starts OpenClaw, executes your task, and exits:

python

import subprocess
import os

# Install Node.js and OpenClaw
subprocess.run(["bash", "-c", "curl -fsSL https://deb.nodesource.com/setup_22.x | bash -"], check=True)
subprocess.run(["apt-get", "install", "-y", "nodejs"], check=True)
subprocess.run(["npm", "install", "-g", "openclaw@latest"], check=True)

# Run a one-shot task via OpenClaw CLI
result = subprocess.run(
    ["openclaw", "run", "--task", "Check my inbox and summarize unread emails"],
    capture_output=True,
    text=True,
    env={**os.environ, "ANTHROPIC_API_KEY": os.environ["ANTHROPIC_API_KEY"]}
)

print(result.stdout)

Schedule this as a recurring Saturn Cloud job with a cadence that makes sense for your workflow.

Security Considerations

A few things to keep in mind:

  • Isolation: Saturn Cloud deployments run in isolated containers. OpenClaw has access to the container’s filesystem and network, but not to your personal machine or other Saturn Cloud resources. This is the core security benefit over running it on a laptop.
  • API keys: Store all credentials in Saturn Cloud’s environment variable manager. Don’t commit them to version control or hardcode them in scripts.
  • Skill vetting: Be cautious with third-party OpenClaw skills. The skill ecosystem is still young, and documented cases of malicious skills performing data exfiltration have been reported. Only install skills from sources you trust.
  • Network access: By default, your OpenClaw deployment can make outbound network requests (which it needs for LLM API calls and messaging platform connections). If you need tighter network controls, talk to your Saturn Cloud admin about configuring network policies.

Treating your OpenClaw deployment with this standard security hygiene ensures your agent remains a helpful tool rather than a vulnerability.

Why Saturn Cloud Over a Raw VPS

The existing guides for deploying OpenClaw on DigitalOcean, Hetzner, or Contabo all involve significant infrastructure work – SSH hardening, firewall rules, Docker configuration, systemd services, SSL termination, and ongoing OS maintenance. That’s fine if you have the ops experience and want full control.

Saturn Cloud removes that layer entirely. You get:

  • No server provisioning – pick a size, click start
  • No OS management – no patching, no security updates to track
  • Container isolation – OpenClaw runs in its own environment, separate from your other work
  • Built-in credential management – environment variables are encrypted and injected at runtime
  • Managed lifecycle – start, stop, and restart your deployment from the dashboard without SSH

For teams already using Saturn Cloud for ML workloads, adding an OpenClaw deployment fits naturally into your existing workflow. For individuals who want a cloud-hosted OpenClaw without becoming a sysadmin, it’s a faster path to getting it running.

Summary

OpenClaw is a powerful AI agent, but deploying it safely requires running it on a server other than your personal machine. Saturn Cloud provides an isolated, managed compute environment that handles the infrastructure so you can focus on configuring your agent and building skills.

To get started:

  1. Create a Saturn Cloud deployment with 2 cores and 4 GB RAM
  2. Add your LLM provider API key as an environment variable
  3. Install Node.js 22 and OpenClaw in your start script
  4. Connect your messaging platform
  5. Start building skills and automations

For more on Saturn Cloud deployments, see the Saturn Cloud documentation. For OpenClaw configuration and skills, see the OpenClaw docs.

Keep reading

Related articles

How to Deploy OpenClaw on Saturn Cloud
Mar 4, 2026

How to Run Open-Source LLM Inference on Crusoe from Saturn Cloud

How to Deploy OpenClaw on Saturn Cloud
Feb 15, 2026

GPU Clouds, Aggregators, and the New Economics of AI Compute

How to Deploy OpenClaw on Saturn Cloud
Feb 5, 2026

Best Cloud Platforms for Training Large Language Models in 2026