A friend recently asked me: what kind of machine do you actually need to deploy OpenClaw (formerly ClawdBot)? Bottom line up front: it’s very lightweight, and hardware isn’t the bottleneck. A low-spec machine can run it, but whether you run it stably and fast depends on your specific use case.
OpenClaw Minimum Requirements
OpenClaw is officially positioned as “low barrier to deploy.” The following specs serve as a baseline:
- CPU: 2+ cores (Intel N-series, entry-level AMD Ryzen, or ARM all work)
- RAM: 4GB (basic chat functionality can go as low as 2GB)
- Storage: At least 2GB free disk space
- Runtime: Node.js v22+
- OS: Linux, Windows (via WSL2), or macOS 13+
- Network: Stable internet connection; if using overseas models, make sure your network can reach them
Recommended Specs
For more stable long-term operation:
- RAM: 16GB or more
- Storage: 256GB SSD (improves system responsiveness and I/O)
- CPU: 4+ cores (better experience for concurrent tasks and browser automation)
The baseline gets you “can it run,” while the recommended specs determine “will it run without frequent freezes or disconnects.”
Deployment Options
1) Cloud
- Budget VPS: Starting around $5/month; domestic cloud providers work too.
- Free option: Oracle Cloud free tier (4 ARM cores + 24GB RAM available).
Best for:
- 24/7 availability
- Not tying up your local machine
2) Local Deployment
- Can use Docker
- Or install Node.js directly on the host and run it; personally, I deploy on a Mac mini at home.
Best for:
- Frequent debugging and development
- Data locality requirements
When You Need More Power
OpenClaw itself is lightweight, but these scenarios significantly raise hardware demands:
- Running local LLMs: At least 8GB–16GB RAM recommended
- Browser automation enabled: 16GB RAM recommended for a stable experience
- High concurrency (scraping + automation + chat simultaneously): Leave headroom in both CPU and RAM
Practical Advice
If you’re just trying it out, 2 cores + 4GB RAM + Node.js 22+ is enough to get started.
If you plan to run automation tasks long-term, go straight for 4 cores + 16GB + SSD — you’ll save a lot of troubleshooting and restart time down the road.
Also, the installation process typically supports a one-liner CLI command. Get it running first, then scale up based on actual load — that’s the most efficient approach.
