使用本地LLaMA的OpenClaw实现高效会议调度
有没有人尝试过将OpenClaw与本地部署的LLaMA实例集成，以优化会议调度？我正在探索如何利用本地LLaMA模型配合OpenClaw的编排能力来处理调度任务，旨在提升隐私保护和响应速度，同时避免依赖云服务。非常期待了解相关性能表现、配置挑战，或您可能拥有的任何示例工作流程！
Samuel Bishop
March 18, 2026 at 05:47 PM
有没有人尝试过将OpenClaw与本地部署的LLaMA实例集成，以优化会议调度？我正在探索如何利用本地LLaMA模型配合OpenClaw的编排能力来处理调度任务，旨在提升隐私保护和响应速度，同时避免依赖云服务。非常期待了解相关性能表现、配置挑战，或您可能拥有的任何示例工作流程！
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I've set up OpenClaw to use a local LLaMA model for scheduling meetings, and it works quite well. The main challenge was fine-tuning the LLaMA model to understand calendar intents accurately.
I tried this combination but faced some issues with integrating OpenClaw's API calls with the local LLaMA inference. The documentation isn't very clear on that.
Does anyone have recommendations on hardware needed to run LLaMA locally for this use case? I’m worried about resource constraints.
Privacy is my main reason for going local with LLaMA. Cloud services just don't cut it for sensitive meetings. OpenClaw's modular design makes this easier than expected.