Jev 生态项目爬取：路由赛道最挤，搜索记忆是空位
有人爬取早期 Jev 生态数据：19.6% 项目拿走 63% 的 star，路由与仿真项目数相近但关注度差 45 倍，搜索记忆和专家任务仍是空位。
someone scraped the entire early Jev ecosystem and the result is a treasure map for anyone deciding what to build 19.6% of Jev projects pull 63% of all the GitHub stars. that's routing and interface agents. everyone is building there. meanwhile search & memory has 381 projects averaging 37 stars, and content & expert tasks has 387 projects at 31. the line that stopped me: routing and simulation have almost the same number of projects, 250 vs 252. one averages 364 stars, the other 8. same amount of work, 45x the attention. and Jev isn't doing the same job everywhere. in simulation it mostly picks actions (52%). in routing it picks which model or tool to call next (27%). in most categories its main job is simply judging whether something is what it claims to be. if you're building on Jev right now, the crowd is in routing. the room is in search, memory and expert tasks
这条是引用着另一条写的：「论文扫描 Jev 早期生态：各领域用法与关注度错配」