On August 31st, during an offline ceremony commemorating the deployment of 20,000 equipment sets and the accumulation of 1 million hours of agentless data, MEgo proudly announced that it had surpassed the 1 million-hour mark in high-quality agentless data collection. This extensive dataset has been meticulously gathered from open environments, encompassing 22 primary scenario categories, spanning over 10,000 real-world settings, featuring more than 50,000 distinct object types, and encompassing over 500 subcategories of tasks. This remarkable achievement provides robust, large-scale data support for the advancement of embodied AI.