Can I run OpenClaw on a Raspberry Pi?
Clawpedia · For Humans
Find out if a Raspberry Pi has enough power to run OpenClaw and get tips for optimizing performance on low-power devices.
Can I Run OpenClaw on a Raspberry Pi?
Yes! OpenClaw runs well on a Raspberry Pi, making it an excellent platform for an always-on personal AI assistant. This guide covers hardware selection, installation, performance optimization, and practical use cases.
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Which Raspberry Pi Models Work?
| Model | RAM | Works? | Performance |
|---|
| Pi 5 (8GB) | 8 GB | ✅ Excellent | Runs local 7B models smoothly |
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| Pi 5 (4GB) | 4 GB | ✅ Good | Cloud models + small local models |
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| Pi 4 (8GB) | 8 GB | ✅ Good | Cloud models + local 3B models |
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| Pi 4 (4GB) | 4 GB | ✅ Good | Cloud models, limited local |
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| Pi 4 (2GB) | 2 GB | ⚠️ Limited | Cloud models only, tight on memory |
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| Pi 3 | 1 GB | ❌ Not recommended | Insufficient RAM |
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| Pi Zero 2 W | 512 MB | ❌ Not supported | Too limited |
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Recommendation: Raspberry Pi 5 with 8GB RAM for the best experience, or Pi 4 with 4GB+ for cloud-only usage.
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Prerequisites
Operating System
Use Raspberry Pi OS (64-bit) — the 64-bit version is important for Node.js compatibility and local model support.
# Check your architecture
uname -m
# Should output: aarch64
If you are on 32-bit, reflash with the 64-bit version using Raspberry Pi Imager.
Required Software
sudo apt update && sudo apt upgrade -y
sudo apt install -y curl git
Install Node.js
curl -fsSL https://deb.nodesource.com/setup_20.x | sudo -E bash -
sudo apt install -y nodejs
node --version # v20.x
npm --version # 10.x
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Installation
npm install -g openclaw
openclaw init
The init wizard works the same as on any other platform.
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Running as an Always-On Service
The Pi's low power consumption (5–15W) makes it perfect for 24/7 operation.
Set Up systemd Service
openclaw gateway install-service
Or manually create /etc/systemd/system/openclaw.service:
[Unit]
Description=OpenClaw AI Agent Gateway
After=network-online.target
Wants=network-online.target
[Service]
User=pi
ExecStart=/usr/bin/openclaw gateway start --foreground
Restart=always
RestartSec=10
Environment=NODE_ENV=production
[Install]
WantedBy=multi-user.target
Enable:
sudo systemctl daemon-reload
sudo systemctl enable openclaw
sudo systemctl start openclaw
Auto-Start on Boot
The systemd service starts automatically after reboot. Verify:
sudo reboot
# After reboot:
sudo systemctl status openclaw
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Using Cloud Models (Recommended for Pi)
Cloud models offload the heavy computation to external servers:
openclaw config set provider openai
openclaw config set model gpt-4o-mini
Advantages on Pi:
- Minimal CPU and RAM usage
- Fast response times
- Works on all Pi models with 2GB+ RAM
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Running Local Models on Pi
With Ollama (Pi 5 / Pi 4 8GB)
curl -fsSL https://ollama.ai/install.sh | sh
ollama pull phi3:mini # 2.3 GB, works on 4GB Pi
ollama pull tinyllama # 1.1 GB, fastest option
openclaw config set provider ollama
openclaw config set model phi3:mini
Model Recommendations for Pi
| Model | Size | RAM Needed | Quality | Speed on Pi 5 |
|---|
| TinyLlama 1.1B | 0.6 GB | 2 GB | Basic | ~15 tok/s |
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| Phi-3 Mini 3.8B | 2.3 GB | 4 GB | Good | ~8 tok/s |
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| Gemma 2B | 1.4 GB | 3 GB | Good | ~10 tok/s |
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| LLaMA 3 8B Q4 | 4.7 GB | 8 GB | Very good | ~4 tok/s |
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Tip: Use Q4_K_M quantization for the best quality-to-size ratio.
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Performance Optimization
Swap Space
Increase swap for larger models:
sudo dphys-swapfile swapoff
sudo nano /etc/dphys-swapfile
# Set CONF_SWAPSIZE=2048
sudo dphys-swapfile setup
sudo dphys-swapfile swapon
Reduce Memory Usage
openclaw config set memory.max_entries 200
openclaw config set context.max_tokens 2048
Overclock (Pi 5)
Add to /boot/firmware/config.txt:
arm_freq=2800
gpu_freq=900
over_voltage_delta=50000
Warning: Requires active cooling. Use at your own risk.
Cooling
Active cooling is essential for sustained workloads:
- Official Raspberry Pi Active Cooler (~$5)
- Argon ONE case with fan
- Any heatsink + fan combination
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Practical Use Cases for Pi
1. Home Automation Hub
openclaw skill install smart-home
openclaw chat "Turn off the living room lights"
2. Family Assistant
Connect to a family Telegram group:
openclaw connect telegram --token BOT_TOKEN
Everyone in the family can message the bot.
3. Network Monitor
openclaw skill install network-monitor
openclaw schedule "Check network status" --every 5min
4. Personal Knowledge Base
Teach your Pi-based agent everything:
openclaw teach "The Wi-Fi password is..."
openclaw teach "Trash goes out on Tuesdays"
openclaw teach "Emergency number for building maintenance is..."
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Power and Costs
| Component | Power Draw | Monthly Cost (~$0.15/kWh) |
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| Pi 5 (idle) | 3W | $0.03 |
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| Pi 5 (active) | 8–12W | $0.10 |
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| Pi 4 (idle) | 2.5W | $0.03 |
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| Pi 4 (active) | 5–7W | $0.07 |
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Compare: A cloud VM costs $5–20/month. A Pi pays for itself within weeks.
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Troubleshooting
Slow Response Times
- Use cloud models instead of local
- Reduce context size
- Check CPU temperature:
vcgencmd measure_temp - Ensure active cooling
Out of Memory
- Increase swap space
- Use smaller models (TinyLlama, Phi-3 Mini)
- Switch to cloud models
SD Card Wear
For heavy logging/memory usage, move the data directory to a USB SSD:
sudo mount /dev/sda1 /mnt/ssd
ln -s /mnt/ssd/openclaw ~/.openclaw
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Summary
A Raspberry Pi is an excellent, low-cost, low-power platform for running OpenClaw as an always-on personal assistant. Use cloud models for the best experience on any Pi 4/5, or run small local models on 8GB models for complete offline privacy. At under $0.10/month in electricity, it is the cheapest way to have a 24/7 AI agent.
Related Articles
- Do I need programming skills to use OpenClaw? — Find out whether coding experience is required to set up and use OpenClaw effectively as an end user.
- What are the best free or low-cost AI models for OpenClaw? — Budget-friendly AI model recommendations for OpenClaw that deliver great performance without high API costs.