As the world population grows older, the demographic issue of aging becomes more prevalent in society, as this group starts facing increasing physical and psychological challenges throughout their daily lives. Older adults often experience a decline in mobility and increased distance from others, leading to the problem of social isolation can lead to anxiety and depression. Leveraging current technological advancements is fundamental in addressing these problems. In particular, the latest developments in generative AI offer significant potential for creating solutions adapted to elderly individuals. Generative AI can enable the development of systems that socially interact with older adults and monitor their behavior, potentially alleviating age-related issues. In the context of the RM4Health project, this paper proposes a novel architectural system that combines established technologies, such as multi-agent systems, with emerging generative AI and large language models. This integrated approach aims to provide an interactive environment for elderly users and real-time health monitoring through wearable devices to evaluate their well-being.