HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Devices
Provides an open-source, privacy-preserving platform for personalized health monitoring, addressing the gap in real-time, locally deployable health agent systems.
HiMe is a locally deployable, privacy-first agent platform for real-time health insights from wearable devices, achieving low-cost Pareto-optimal balance between effectiveness and efficiency.
Traditional approaches to wearable health signal analysis, such as smartwatches, are constrained by rigid analytical frameworks and limited personalisation. The emergence of LLM agents creates a new opportunity for Personal Health Agentic Analysis, where health insights can be generated adaptively and in context. However, currently there is no open-source locally deployable platform capable of processing personal health data in real time while preserving privacy. We present HiMe, a locally deployable, privacy-first agent platform that is fully compatible with real-time health data ecosystems across a wide range of wearable devices. HiMe is guided by three design principles. The database is treated as a first-class component. Effectiveness and efficiency are jointly optimised to achieve a low-cost Pareto-optimal balance. Data are processed in real time while the user is modelled over the long term. Together, these principles make it practical for individuals to harness Personal Health Agents for continuous, personalised health monitoring for better wellbeing.