The pace of modern society is accelerating, people’s demand for convenience and timeliness in TCM (Traditional Chinese Medicine) consultations for common and chronic diseases has been increasingly rising. However, they are facing problems such as long treatment time in traditional hospitals, uneven functions of existing home-use TCM detection devices, and separation of detection, diagnosis, and medication supply chains. Starting from user demand investigation and existing product analysis, this study integrates home TCM testing equipment, TCM knowledge base, and drug database resources using AI technology. Taking a tongue diagnosis mini-program as the carrier, it integrates the construction of two intelligent agents: “diagnosis-prescription” and “prescription-drug acquisition”. It explores the construction and operation of a complete closed-loop supply chain of “ consultation (symptom input/intelligent analysis) → diagnosis (syndrome name judgment) → prescription (intelligent recommended prescription) → medicine (safe and convenient acquisition)”. Research tests have shown that the entire process from tongue diagnosis to medication retrieval can be completed on mobile devices, which has a positive promoting significance for the convenience, intelligence, and closed-loop diagnosis and treatment of common and chronic diseases in TCM in home-use scenarios, as well as for the development of the supply chain of TCM services for home-use.