OpenClaw on Mac Mini
Mac mini is perfect for OpenClaw. Silent, always-on, and powerful enough for AI agents.
Quick Install
The fastest way to install OpenClaw on Mac mini:
curl -fsSL https://openclaw.ai/install.sh | bash
RAM Recommendations
8 GB RAM
Minimum for basic usage.
- • Cloud APIs only
- • Single agent
- • Light memory usage
16 GB RAM
Recommended for most users.
- • Cloud APIs
- • 2-3 agents
- • Light local models
24-64 GB RAM
Power user / local models.
- • Multiple local models
- • 5+ agents
- • Heavy memory workloads
CPU Usage on Mac Mini
Expected CPU Usage
| Scenario | CPU Usage |
|---|---|
| Idle / Light use | 1-5% |
| Cloud API queries | 5-15% |
| Local model (CPU) | 50-100% |
| Multiple agents active | 20-40% |
Note: M-series chips handle AI workloads efficiently. The Neural Engine isn't directly used by OpenClaw, but Apple Silicon's unified memory architecture helps with local model performance.
Docker vs Native on Mac Mini
💻 Native (Recommended)
- • Better performance
- • Easier debugging
- • Direct access to files
- • Simpler setup
- • No Docker overhead
curl -fsSL https://openclaw.ai/install.sh | bash
🐳 Docker
- • Isolated environment
- • Easy to reproduce
- • Consistent across machines
- • Slight performance overhead
- • Requires Docker Desktop
docker run -p 18789:18789 openclaw/openclaw:latest
Recommendation: Use native installation on Mac mini for best performance. Docker is useful if you need to test different configurations or run multiple isolated instances.
M-Series Chip Notes
| Chip | Suitability | Notes |
|---|---|---|
| M1 / M1 Pro | ✅ Good | Handles cloud APIs easily |
| M2 / M2 Pro | ✅ Very Good | Can run small local models |
| M2 Max / Ultra | ✅ Excellent | Great for local models |
| M4 / M4 Pro | ✅ Excellent | Best performance per watt |
Running Multiple Agents
Mac mini can easily run multiple OpenClaw agents. Here's what to expect:
- • 2-3 agents: 8GB RAM minimum, works well with cloud APIs
- • 4-5 agents: 16GB RAM recommended
- • 5+ agents: 24GB+ RAM, consider separate instances
Performance Tips
1. Use Cloud APIs by Default
Unless you need local models, use OpenAI, Anthropic, or MiniMax APIs. Much faster and uses less resources than running local models on Mac mini.
2. Enable Sleep Prevention
Prevent Mac mini from sleeping to keep agents running: pmset -c sleep 0
3. Monitor with Activity Monitor
Keep an eye on memory pressure. OpenClaw typically uses 100-500MB depending on workload.
4. Consider LaunchAgent
Set up OpenClaw as a LaunchAgent to auto-start on boot. Keeps agents running 24/7.
Power & Noise
Mac mini is ideal for home部署 because:
- • Idle power: ~5-10W
- • Active power: ~20-40W
- • Fan noise: Silent at idle, quiet under load
- • 24/7 operation: Designed for continuous use