OpenClaw on Raspberry Pi: Low-Cost AI Agent Deployment

February 08, 2026

OpenClaw on Raspberry Pi: Low-Cost AI Agent Deployment

By Marcus Johnson | February 7, 2026

OpenClaw on Raspberry Pi: Low-Cost AI Agent Deployment

Raspberry Pi offers an affordable way to run OpenClaw 24/7 without the cost of cloud hosting or keeping your main computer on.

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Why Raspberry Pi?

Aspect	Benefit
Cost	Under $100 total
Power	~5 watts (pennies/month)
Size	Credit card sized
Uptime	Runs 24/7 without fan noise
Learning	Great for tinkering

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Recommended Hardware

Minimum Setup ($55)

Component	Price	Notes
Raspberry Pi 4 (2GB)	$45	4GB recommended for better performance
Power supply	$10	Official USB-C
SD Card (32GB)	$8	Class 10 recommended

Recommended Setup ($100)

Component	Price	Notes
Raspberry Pi 4 (4GB)	$55	More RAM for better performance
Power supply	$10	Official USB-C
SD Card (64GB)	$12	A2 rated for apps
Case with fan	$15	Active cooling
Ethernet cable	$8	More reliable than WiFi

Power Consumption

State	Power Usage	Monthly Cost
Idle	3-5 watts	~$0.50
Under load	6-8 watts	~$1.00

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Initial Setup

1. Install Raspberry Pi OS

1. Download Raspberry Pi Imager 2. Flash Raspberry Pi OS Lite (64-bit) to SD card 3. Enable SSH in settings 4. Boot Pi and connect via Ethernet

2. Initial Configuration

# SSH into Pi ssh pi@raspberrypi.local password: raspberry
Update system
 sudo apt update && sudo apt upgrade -y
Install required packages
 sudo apt install -y curl git python3-pip
Enable Docker (optional, for container setup)
 curl -fsSL https://get.docker.com | sh sudo usermod -aG docker pi

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Installing OpenClaw

Option 1: Direct Installation

# Install Node.js 22+ curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash - sudo apt install -y nodejs
Install OpenClaw
 npm install -g openclaw
Verify
 openclaw --version

Option 2: Docker Installation

# Create directory mkdir -p /home/pi/openclaw cd /home/pi/openclaw
Create docker-compose.yml
 cat > docker-compose.yml << 'EOF' version: '3.8' services:   openclaw:     image: openclaw/openclaw:latest     container_name: openclaw     restart: unless-stopped     ports:       - "18789:18789"     volumes:       - ./data:/home/openclaw/.openclaw       - ./workspace:/home/openclaw/workspace     stdin_open: true     tty: true EOF
Start container
 docker-compose up -d

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Configuration for Pi

Resource Optimization

{   "agents": {     "defaults": {       "model": "claude-sonnet-4-20250514",       "maxTokens": 2000,       "contextWindow": 32000     }   },   "sandbox": {     "enabled": true,     "memoryLimit": "512m"   } }

Local Model Option (Free, but Slower)

# Install Ollama curl -fsSL https://ollama.ai/install.sh | sh ollama serve &
Pull a lightweight model
 ollama pull llama3.2:3b
Configure OpenClaw
 openclaw config set providers.ollama.baseUrl "http://localhost:11434/v1" openclaw config set agents.defaults.model "llama3.2:3b"

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Remote Access

Option 1: Tailscale VPN (Recommended)

# Install Tailscale curl -fsSL https://tailscale.com/install.sh | sh
Connect
 sudo tailscale up --auth-key YOUR_AUTH_KEY
Access from anywhere via your tailnet
 OpenClaw available at: http://100.x.x.x:18789

Option 2: SSH Tunnel

From your main machine:

# Create tunnel ssh -L 18789:localhost:18789 pi@raspberrypi.local
Access locally
 Open browser to http://localhost:18789

Option 3: Cloudflare Tunnel

# Install cloudflared curl -L https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-arm64 -o /usr/local/bin/cloudflared chmod +x /usr/local/bin/cloudflared
Create tunnel
 cloudflared tunnel --url http://localhost:18789

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Voice I/O on Pi

Text-to-Speech (TTS)

Use eSpeak for free local TTS:

# Install eSpeak sudo apt install -y espeak
Configure OpenClaw
 openclaw config set tts.espeak.enabled true openclaw config set tts.espeak.voice "en-us"

For better quality, use Piper TTS:

# Install Piper pip install piper-tts
Configure
 openclaw config set tts.piper.enabled true openclaw config set tts.piper.model "en_US-lessac-medium.onnx"

Speech-to-Text (STT)

# Install Vosk for offline STT pip install vosk
Configure
 openclaw config set stt.vosk.enabled true

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Power and Maintenance

Auto-Start on Boot

# Create systemd service sudo nano /etc/systemd/system/openclaw.service

[Unit] Description=OpenClaw AI Agent After=network.target
[Service] Type=simple User=pi WorkingDirectory=/home/pi/openclaw ExecStart=/usr/bin/docker-compose -f /home/pi/openclaw/docker-compose.yml up Restart=always[Install] WantedBy=multi-user.target

# Enable service sudo systemctl enable openclaw sudo systemctl start openclaw

Monitoring

# Check status sudo systemctl status openclaw
View logs
 journalctl -u openclaw -f
Check temperature
 vcgencmd measure_temp

Backup

# Create backup script cat > /home/pi/backup-openclaw.sh << 'EOF' #!/bin/bash DATE=$(date +%Y%m%d) tar -czf /home/pi/backups/openclaw-$DATE.tar.gz /home/pi/openclaw/data Keep last 7 backups
 ls -t /home/pi/backups/openclaw-*.tar.gz | tail -n +8 | xargs rm EOF
chmod +x /home/pi/backup-openclaw.sh
Add to cron
 crontab -e Add: 0 3   * /home/pi/backup-openclaw.sh

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Troubleshooting Pi Issues

Performance Issues

# Check CPU temperature vcgencmd measure_temp
Check memory
 free -h
Check disk space
 df -h

Fix Overheating

Add heatsinks

Enable fan in case

Reduce overclock (if applicable)

SD Card Corruption Prevention

Use quality A2 rated SD card

Enable readonly mode for root

Regular backups

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