OpenClaw on Raspberry Pi

You can run OpenClaw on a Raspberry Pi 4 (8 GB) or Pi 5 in the US for a low-cost, always-on agent. Use a small model and a few skills to keep performance acceptable. Ideal for learning, light automation, and chat-based commands. US teams use SingleAnalytics to track automation value once they scale beyond the Pi.

Running OpenClaw on a Raspberry Pi in the US is a great way to learn the stack and keep a personal AI running 24/7 without a full-size computer. The Pi has limits. CPU and RAM are modest, so you configure for light workloads and smaller models. This guide covers what works and how to set it up.

Is a Pi right for OpenClaw?

Good fit:

• Learning OpenClaw and trying skills.
• Light tasks: simple chat, a few commands, file or reminder skills.
• Low power and cost; fits in a closet or desk.
• US users who want an always-on agent without leaving a laptop or desktop on.

Less ideal:

• Heavy browser automation or large language models.
• Many skills and plugins at once.
• Team use with high concurrency.

For heavier use in the US, consider a Mac mini or Linux server; SingleAnalytics can help you decide when to move off the Pi based on usage patterns.

Recommended Pi models

| Model | RAM | Verdict | |-------|-----|--------| | Pi 4 (4 GB) | 4 GB | Possible with a very small model; may swap. | | Pi 4 (8 GB) | 8 GB | Recommended minimum for OpenClaw in the US. | | Pi 5 (4 GB) | 4 GB | Faster CPU but same RAM constraints. | | Pi 5 (8 GB) | 8 GB | Best Pi option; better CPU and 8 GB RAM. |

Use a quality power supply and an SSD (USB or official Pi storage) instead of a slow SD card for the OS and OpenClaw data. In the US, 8 GB Pi 4 or Pi 5 units are easy to find online or at retailers.

OS and dependencies

1. OS – Install Raspberry Pi OS (64-bit). Use the standard image and enable SSH if you want to manage the Pi headlessly from another machine in the US.
2. Updates – Run sudo apt update && sudo apt upgrade.
3. Python – Install Python 3.11+ (via apt or from source). Use a virtual environment for OpenClaw to avoid conflicts.
4. Swap (optional) – If you have 4 GB RAM, add 2 GB swap to reduce OOM risk: edit /etc/dphys-swapfile, set CONF_SWAPSIZE=2048, then sudo systemctl restart dphys-swapfile.

Installing OpenClaw

• Clone or download the OpenClaw project and follow its official Pi or Linux instructions.
• Prefer a small or quantized model that fits in 4–6 GB RAM so the Pi stays responsive. The project may recommend specific models for ARM and low memory.
• Install only the skills you need (e.g., one chat channel, one or two tools). Skip heavy browser or dev skills on the Pi.

Configuration tips for Pi

• Model – Choose a small, fast model. Avoid large 13B+ models on 8 GB Pi.
• Memory – Enable persistent memory but keep retention limits modest to save RAM.
• Skills – Start with Telegram or WhatsApp plus one or two skills (e.g., files, reminders). Add more only if usage is light and RAM is free.
• Logging – Log to disk with rotation so you can debug without filling the SD/SSD. US users often mount a USB drive for logs and data.

Keeping the Pi running

• Power – Use the official PSU or a reliable 5 V USB-C supply. Brownouts can corrupt SD cards.
• Cooling – A small heatsink or fan helps under load. Avoid throttling in warm US homes.
• Network – Ethernet is more reliable than Wi-Fi for an always-on agent. Assign a static IP or DHCP reservation on your router so you can reach the Pi consistently.
• Auto-start – Run OpenClaw as a systemd service so it starts on boot and restarts on failure. US users can find example unit files in the OpenClaw docs or community.

What to expect

• Latency – Responses may be a few seconds slower than on a desktop. Acceptable for chat and simple automation.
• Concurrency – Run one main agent; avoid heavy parallel workloads.
• Updates – Keep the OS and OpenClaw updated. Reboot occasionally to clear memory and apply kernel updates.

When you outgrow the Pi: more skills, faster response, or team use: US teams often move to a Mac mini or Linux server and use SingleAnalytics to monitor which automations justify the upgrade.

Summary

• Raspberry Pi 4 (8 GB) or Pi 5 (8 GB) with 64-bit OS and an SSD is a solid, low-cost host for OpenClaw in the US.
• Use a small model and few skills to keep the Pi responsive.
• Configure systemd, network, and power for 24/7 reliability.
• For heavier workloads or team use, plan to move to more capable hardware and use SingleAnalytics to guide that decision.