My First Month Running OpenClaw Nonstop — Here’s What Everyone Gets Wrong

#openclaw #ai #llm #openai

I’ve been running OpenClaw on an old Windows 10 desktop (7+ years old, no GPU) for a full month, 24/7. And most people are using it wrong.

I’ve watched users burn money on API calls, expose sensitive data, over‑engineer their setups, and buy hardware they don’t need. So I wrote a deep‑dive on the real‑world setup, mistakes, and fixes that actually matter when running OpenClaw long‑term.

Here’s what I cover in the full post:

• Why you don’t need a Mac Mini or expensive hardware
• Why local LLMs (Ollama, etc.) are a trap for most users
• How OpenClaw quietly sends memory + credentials to remote LLMs
• How to avoid huge API bills caused by bloated memory files
• A simple 3‑tier memory system that actually works
• Why you should use dedicated accounts instead of your personal email
• What OpenClaw gets right — and where it’s still rough around the edges

If you’re experimenting with OpenClaw or planning to run it as a daily driver, this guide will save you time, money, and headaches.

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