Why Raspberry Pi?
A Raspberry Pi is the perfect OpenClaw host: - Always on — 5W power consumption - Silent — no fans - Cheap — $35-75 for the hardware - Private — runs on your local network
Hardware Requirements
- Raspberry Pi 4 (4GB+) or Pi 5
- 32GB+ microSD card (or SSD via USB for better performance)
- Ethernet or WiFi connection
- Power supply
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Flash the OS
Use Raspberry Pi Imager to flash Raspberry Pi OS Lite (64-bit). Enable SSH during setup.
Install Node.js
curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash -
sudo apt-get install -y nodejsInstall OpenClaw
npm install -g openclaw
mkdir ~/agent && cd ~/agent
openclaw initConfigure LLM
export OPENAI_API_KEY="sk-..."
echo 'export OPENAI_API_KEY="sk-..."' >> ~/.bashrcStart as Service
sudo tee /etc/systemd/system/openclaw.service > /dev/null <<EOF
[Unit]
Description=OpenClaw Agent
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=pi
WorkingDirectory=/home/pi/agent
ExecStart=$(which openclaw) gateway start
Restart=always
RestartSec=10
[Install]
WantedBy=multi-user.target
EOF
sudo systemctl enable --now openclawPerformance Tips
Use an SSD
MicroSD cards are slow for file I/O. A USB SSD dramatically improves responsiveness:
# After connecting SSD and mounting
sudo raspi-config # Set USB bootOptimize Memory
With 4GB RAM, OpenClaw runs comfortably. The agent itself is lightweight — the LLM runs in the cloud.
Monitor Resources
# Check agent status
openclaw status
# System resources
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Subscribe Free →Use Cases
- Home automation hub — control smart devices via voice or chat
- Family assistant — shared agent on Discord or Telegram
- Development helper — always available for coding questions
- Network monitor — check service uptime and alert on issues
- Learning companion — connected to your CopyPasteLearn courses
Limitations
- Browser automation is slower on ARM
- Screen recording requires a connected display
- Heavy file operations may be slow on SD cards
Despite these, a Pi makes an excellent always-on AI agent host for most personal use cases.
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Ready to go deeper? Check out our hands-on course: OpenClaw Agent — practical exercises you can follow along on your own machine.
Related
For a production-focused walkthrough, see Luca Berton's guide on the Ansible intelligent assistant and MCP server.
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