Recently, major local tech giants have ramped up their efforts in deploying personal AI agent products. ByteDance, Alibaba, Tencent, and other industry leaders have initiated relevant R&D projects or advanced their existing plans. However, the implementation of personal AI agents is far from straightforward; the primary hurdle lies not in technological limitations but in ecosystem integration. Given factors such as risk management, the preservation of user relationships, and revenue allocation, third-party service platforms typically adopt a cautious stance towards allowing AI agents to utilize their services across different platforms. For instance, the overseas version of Muse faced access restrictions from Amazon. Currently, leading companies are pushing forward with adaptation initiatives tailored to their respective business ecosystems: ByteDance focuses on integrating its proprietary services, such as Douyin E-commerce and Feishu, while also exploring external partnerships; Alibaba capitalizes on its owned businesses, including Taobao, Gaode, and Fliggy, to minimize costs associated with external expansion; Tencent develops its products leveraging the inherent capabilities of WeChat and its Mini Program ecosystem. Nonetheless, even integrating within their own ecosystems demands substantial manpower for interface adaptation, task scheduling, and other adjustments. Achieving cross-platform ecosystem integration still requires the alignment of interests among all stakeholders. Therefore, the fully functional personal AI agents that users envision are unlikely to become a reality in the near future.