01Privacy-first personal health intelligence with on-device encryption for raw data.
02Deterministic translation of vitals, labs, activity, and preventive care into four quantitative health signals.
03AI-driven analysis guided by Mantic Detection for friction/emergence and cognitive scaffolds.
04Configurable privacy modes (strict, standard, explicit) controlling LLM data exposure.
05Robust safety features including deterministic escalation for critical health alerts and LLM output guardrails.
060 GitHub stars