Use Second Computer for OpenClaw | Generated by AI

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Question: Should I install OpenClaw on my main computer or my second computer?

Answer:

Install it on your second (dedicated/secondary) computer. This is the strong recommendation from both the official OpenClaw documentation and the broader community. Here’s a detailed breakdown of why:

🔒 Security Reasons (Most Important)

OpenClaw is a powerful, self-hosted AI assistant that can execute tasks like managing calendars, browsing the web, and running terminal commands. It should not be run on your personal machine due to significant security risks associated with giving an AI agent high-level system access.

Running an agent with shell access and file permissions creates a real attack surface. OpenClaw can read untrusted text from the web or group chats.

OpenClaw can run skills/tools that touch real data. Recent reporting highlighted real security risks around “skills” ecosystems — so start isolated (Docker or a dedicated server), and whitelist what you can.

🖥️ Hardware Requirements

Your second computer just needs to meet these minimums:

A modern laptop with 8 GB of RAM is usually enough for cloud models and light automation. For heavier workloads, 16 GB or more is a safer baseline. SSD storage is strongly recommended for faster logs, cache access, and model downloads.

A fresh OpenClaw installation requires roughly 500 MB of disk space (including node_modules). At least 5 GB of free disk space is recommended to allow room for growth. OpenClaw itself uses approximately 200–400 MB of RAM at idle.

⚙️ Always-On Benefit

Installing on a dedicated second machine also means it can stay running 24/7 without disrupting your main workflow. The --install-daemon flag registers OpenClaw as a background service — systemd on Linux, launchd on macOS. This ensures the agent survives reboots and stays “always-on.”

✅ Summary

Factor Main Computer ❌ Second Computer ✅
Security High risk — full system access Isolated, safer
Performance Competes with your daily work Dedicated resources
Always-on Inconvenient Ideal
If compromised Your personal data at risk Damage is contained

If your second computer is low-powered (e.g., old laptop), it still works fine as long as you’re using cloud-based LLMs rather than running local models. For running local models, more RAM and a decent CPU/GPU matter more.

References:

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