Meta's personal AI agent, Muse, swiftly captured public attention following its debut, showcasing remarkable performance in terms of download volumes and daily active user counts. This triumph has not only significantly boosted Meta's market valuation but also ignited a fierce competitive race among tech behemoths worldwide to venture into this burgeoning domain. At its core, Muse functions as a cloud-based personal assistant, boasting several key strengths: a seamless cloud execution environment, cost-effective user acquisition through super apps, integrated payment functionalities, and access to comprehensive user lifestyle data. Although Muse excels at managing straightforward, short-term tasks, its capacity for tackling intricate, long-term assignments is somewhat constrained, and it encounters limitations imposed by external platform permissions.

In response, domestic tech giants like Tencent, Alibaba, ByteDance, as well as independent contender Manus, are expediting their efforts to develop analogous products. Nevertheless, they grapple with challenges such as limited cross-ecosystem permissions and fragmented user lifestyle data within the Chinese market, which collectively hinder the creation of a fully-fledged competitor to Muse at present. In the near future, we may witness the emergence of Personal Butlers (dedicated assistants) tailored to specific ecosystems. However, the realization of a cross-ecosystem, universal personal AI agent will hinge on the establishment of open interoperability among super apps.