我连续一个月运行 OpenClaw 的经验——大家都错在哪里

📄 中文摘要

在一台超过七年的旧款 Windows 10 台式机上,作者连续一个月全天候运行 OpenClaw,发现大多数用户在使用过程中存在误区。许多人在 API 调用上浪费金钱,暴露敏感数据,过度设计系统,购买不必要的硬件。文章深入探讨了如何正确设置 OpenClaw,避免常见错误,并提供了实际的解决方案。内容包括不需要 Mac Mini 或昂贵硬件的原因、为什么本地 LLM(如 Ollama)对大多数用户而言是个陷阱,以及 OpenClaw 如何在不知情的情况下将内存和凭据发送到远程 LLM。

📄 English Summary

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

Running OpenClaw on an old Windows 10 desktop for a month revealed that many users are misusing the tool. Users often waste money on API calls, expose sensitive information, over-engineer their setups, and invest in unnecessary hardware. The article provides a comprehensive guide on the real-world setup, common mistakes, and effective fixes for long-term OpenClaw operation. Key points include the reasons why a Mac Mini or expensive hardware is unnecessary, the pitfalls of local LLMs like Ollama for most users, and how OpenClaw inadvertently sends memory and credentials to remote LLMs without user awareness.

Powered by Cloudflare Workers + Payload CMS + Claude 3.5

数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等