Jev 加速 Computer Use:LLM 记忆配合 Jev 执行操作
LLM 持有记忆与上下文,通过 agent-desktop 截图并发送给 Jev,由 Jev 选择正确元素执行操作,实现更快的 Computer Use,支持 Cursor 与无头模式。
帖子介绍 Jev Engineering 的视频,展示其如何将静态代理工作流转化为可自改写的图。视频以大规模场景为例:数百条路由、数千种交叉、不同代理、不同工具和置信度级别。
Jev Engineering turns a static agent workflow into a graph that can rewrite itself while running. the video is basically the problem at scale: hundreds of routes → thousands of crossings → different agents → different tools → different confidence levels Jev Engineering