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Platform Guide

Run OpenClaw on Raspberry Pi

Yes, you can run OpenClaw on a Raspberry Pi. These lightweight wrappers are ARM-compatible and optimized for low-power hardware.

OpenClaw on Raspberry Pi: What You Need to Know

Running OpenClaw on a Raspberry Pi is a fantastic way to have a private, always-on AI assistant with minimal power consumption. The Raspberry Pi 5 (8 GB model) is the recommended minimum for a comfortable experience.

Most self-hosted OpenClaw wrappers package ARM64-compatible Docker images, so installation on a Pi is straightforward: install Raspberry Pi OS (64-bit), install Docker, and run docker-compose up. The Pi 5's improved CPU performance makes the experience surprisingly smooth for cloud-hosted AI models.

Running local models on a Pi is possible but limited. Small models (1-3B parameters) can run via Ollama on the Pi 5's CPU, but response times will be measured in seconds per token. For practical use, most Pi users connect to cloud-hosted models (Claude, GPT-4, etc.) via API.

Power consumption is the Pi's superpower. Running 24/7, a Raspberry Pi 5 consumes about 5-10 watts — less than a single LED lightbulb. This makes it ideal for an always-on personal AI agent that monitors emails, manages calendars, and responds to messages around the clock.

Pro Tips for Raspberry Pi

Use the Pi 5 (8 GB)
The 8 GB Raspberry Pi 5 is the minimum recommended. The Pi 4 works but may struggle with more complex wrapper UIs.
64-bit OS Required
Install Raspberry Pi OS (64-bit). Many Docker images don't support 32-bit ARM.
Use an NVMe SSD
The Pi 5 supports NVMe via HAT. An SSD dramatically improves Docker and database performance over a microSD card.
Cloud Models Recommended
Connect to Claude or GPT-4 via API. Local model inference on the Pi is too slow for production use.

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