How to Run OpenClaw on Raspberry Pi: A Practical Setup Guide
Mar 13th,2026
Introduction: What is OpenClaw?
When discussing OpenClaw on Raspberry Pi, it helps to start with what OpenClaw actually is: an AI workflow runtime designed to orchestrate tasks that involve language models, APIs, and automation tools.Instead of functioning as a traditional chatbot or standalone AI model, it operates as a coordination layer that connects different components of an AI workflow. In practice, it receives instructions, processes them through configured tools or models, and executes the resulting actions.
This approach allows developers and technical users to build automated systems where AI assists with tasks such as retrieving information, interacting with services, or coordinating software processes, which makes it especially relevant for Raspberry Pi AI automation projects.The runtime manages how requests are handled, how tools are triggered, and how responses are produced.
Many users prefer running this type of system locally rather than relying entirely on remote infrastructure. Local deployment offers several practical advantages. It allows full control over configuration and security policies, reduces dependency on external services, and keeps operational logic within the user’s own environment. Running the runtime locally also allows it to interact directly with devices, scripts, and data that are not accessible from the public internet, which is one reason an OpenClaw Raspberry Pi setup is appealing for self-hosted workflows.
A Raspberry Pi is well suited for this role because it is designed for continuous operation with low power consumption. Unlike a typical desktop computer, the Pi can remain powered on around the clock without significant energy cost. It is small, silent, and reliable for lightweight server workloads. When used with OpenClaw, the device functions as a compact automation hub that manages AI-driven workflows while delegating heavy computation to external services when needed.
For these reasons, Raspberry Pi is commonly used as an always-on controller for automation systems, making it a practical platform for anyone who wants to run OpenClaw on Raspberry Pi in a home lab, development environment, or small infrastructure setup.
Typical Use Cases on Raspberry Pi
•Run scheduled AI tasks such as log summarization or notifications
•Connect APIs to local devices.
•Act as a lightweight AI gateway.
Hardware & Prerequisites
Before starting an OpenClaw Raspberry Pi setup, it is important to confirm the hardware and system prerequisites.
•Raspberry Pi 5 supported.
•8GB RAM recommended.
•SSD/NVMe preferred.
•Stable internet connection required
Base OS Setup (Headless-Friendly)
Start by installing Raspberry Pi OS Lite. This version provides a minimal environment without a graphical desktop, which keeps system resource usage low and works well for OpenClaw on Raspberry Pi.If you need a quick walkthrough, you can follow this SunFounder guide to install Raspberry Pi OS. This version provides a minimal environment without a graphical desktop, which keeps system resource usage low.
After flashing the operating system to your storage device, enable SSH so the system can be managed remotely,which is especially useful if you plan to run OpenClaw on Raspberry Pi without a monitor. This can be done during the imaging process or by creating an empty file named ssh in the boot partition.
Once the device boots and is reachable on the network, connect through SSH and update the system packages:
sudo apt update
sudo apt upgrade -y
This ensures that the system libraries and security updates are current before installing additional software, creating a more stable foundation for an OpenClaw Raspberry Pi setup.
Step-by-step: Native install on Raspberry Pi OS Lite
1.Install Node.js 22 (required)
OpenClaw’s “Getting Started” lists Node 22+ as a prerequisite,, so installing the correct Node version is essential for OpenClaw on Raspberry Pi.
Option A (simple): NodeSource repo
curl -fsSL https://deb.nodesource.com/setup_22.x |
sudo -E bash -
sudo apt install -y
nodejs
node --version
2.Install OpenClaw (official installer)
The official quick install is:
curl -fsSL https://openclaw.ai/install.sh | bash
To run OpenClaw on Raspberry Pi properly, the recommended next step in the official docs is to start the onboarding wizard:openclaw onboard --install-daemon
What you’ll typically do in the wizard includes configuring the OpenClaw gateway, setting up authentication, and deciding whether to skip optional skills for now.
•Accept defaults for Gateway on the Pi
•Set up auth
•Skip optional skills if you want the minimum setup now (you can add later)
4.Verify the Gateway is running
openclaw gateway status
This check is explicitly recommended in the docs because it confirms that the OpenClaw gateway is running correctly on the device.
5.Open the Control UI (no channel required)
On the Pi:
openclaw dashboard
From your laptop on the same LAN, open:
•http://<PI_IP_ADDRESS>:18789/
The docs mention the dashboard and default local URL/port,making it easier to access and manage OpenClaw on Raspberry Pi from another device on the same
Configure Channels (How You Interact With It)
Example workflow:
User message → OpenClaw Gateway → LLM API → Response returned to the user.
Channels define how users or applications communicate with the OpenClaw runtime and send requests through the OpenClaw gateway.A channel may be a messaging platform, a webhook endpoint, or a local API interface. These channels allow requests to be sent to the gateway and responses to be returned.
You can start in the Control UI without any channel,which keeps the initial OpenClaw Raspberry Pi setup simple for first-time users. If you do want a channel, the project’s setup script shows the basic CLI patterns (examples below).
Telegram bot (bot token)
openclaw channels add --channel telegram --token <YOUR_BOT_TOKEN>
Discord (bot token)
openclaw channels add --channel discord --token <YOUR_DISCORD_BOT_TOKEN>
Start a Conversation With the Bot
Return to Telegram and search for the bot using the username you created earlier. If needed, refer to the official Telegram bot setup guide for token creation and bot basics.
Open the chat and press Start.
Any message sent to the bot will now be received by the OpenClaw gateway. The system processes the request and returns the response directly in the Telegram conversation.
Choosing Your AI Model Strategy (Keep It Practical)
For OpenClaw on Raspberry Pi, the most practical approach is usually to connect the system to remote language model APIs.External AI services provide significantly more computing power and allow the Pi to focus on orchestration rather than heavy processing.
Running local models on Raspberry Pi is technically possible, but performance is limited due to CPU and memory constraints,so remote APIs are often the better fit for Raspberry Pi AI automation.Small models may operate locally, yet response times are often slower and capabilities may be restricted.
For this reason, the Raspberry Pi should generally be treated as a controller device. It coordinates workflows, communicates with APIs, and triggers local actions. The computational work of generating AI responses is better handled by remote infrastructure designed for machine learning workloads.
This architecture keeps the system efficient while still allowing full automation and control from the local environment,which is ideal for an OpenClaw Raspberry Pi setup.
Run OpenClaw as a Service (24/7 Mode)
If you want to run OpenClaw on Raspberry Pi continuously, installing the daemon with --install-daemon allows it to autostart and stay managed as a service.The recommended way to manage this behavior on Raspberry Pi OS is by using systemd, the default service manager in Linux.
1.Create a Service File
For stable OpenClaw on Raspberry Pi operation, first create a new service definition file.First, create a new service definition file.
sudo nano /etc/systemd/system/openclaw.service
Add the following configuration:
[Unit]
Description=OpenClaw Gateway
After=network.target
[Service]
Type=simple
User=pi
WorkingDirectory=/home/pi
ExecStart=/usr/local/bin/openclaw gateway start
Restart=always
RestartSec=5
[Install]
WantedBy=multi-user.target
This configuration tells the system to launch the OpenClaw gateway after the network is available and to automatically restart the process if it stops.Save the file and exit the editor.
2.Reload the Service Manager
sudo systemctl daemon-reload
3.Start the Service
sudo systemctl start openclaw
sudo systemctl status openclaw
4.Enable Autostart
sudo systemctl enable openclaw
For a quick status check at any time:
sudo systemctl status openclaw
Troubleshooting
openclaw: command not found
Run exec $SHELL -l and try again. If still missing, rerun the install script.
Node version too old
Install Node 22+ and re-run onboarding.
Control UI not reachable from your laptop
Confirm you’re using http://<PI_IP>:18789/ and that Pi and laptop are on the same network.
Gateway not running after onboarding
See the gateway troubleshooting guide,Run openclaw gateway status and check service logs.
Channel added but messages don’t arrive
Re-check your bot token and channel config; re-add the channel if needed.
Conclusion
Overall, OpenClaw on Raspberry Pi is a practical way to build a low-power AI automation node that operates continuously.For most users, the Pi works best as an always-on controller that connects remote LLM APIs, local tools, and automation workflows in a compact self-hosted setup.
