📄 中文摘要
ClawBot 可以通过 LM Studio 在本地设置并运行，用户无需依赖付费 API。将 ClawBot 连接到 LM Studio 后，可以使用本地 AI 模型进行测试和基本开发任务，同时确保数据的隐私和控制。由于一切都在用户自己的机器上运行，用户可以完全掌控数据。该设置经过测试，适合实验和学习。需要注意的是，此设置主要用于测试和基本任务，运行 AI 模型需要具备良好的 CPU 或 GPU 性能，并建议至少配备 16 GB RAM（推荐 32 GB）。
如何在本地使用 LM Studio 运行 ClawBot（免费设置指南）
出处: How to Run ClawBot Locally Using LM Studio (Free Setup Guide)
发布: 2026年3月10日
📄 English Summary
How to Run ClawBot Locally Using LM Studio (Free Setup Guide)
ClawBot can be set up and run locally using LM Studio without relying on paid APIs. By connecting ClawBot to LM Studio, users can utilize local AI models for testing and basic development tasks while maintaining privacy and control over their data. Everything runs on the user's machine, providing complete data ownership. This setup has been tested and is suitable for experimentation and learning. It is important to note that this setup is primarily for testing and basic tasks, and running AI models locally requires a decent system with good CPU or GPU performance, with at least 16 GB of RAM recommended (32 GB is preferable).