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Sovereign Health

Cole-Cant-CodebyCole-Cant-Code
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Data Science & ML
Analytics & Monitoring
Security & Testing

Provides privacy-first personal health intelligence by translating health data into quantitative signals, performing anomaly detection, and offering AI-driven analysis while keeping raw data encrypted.

Sovereign Health is a privacy-first personal health intelligence server designed to empower users with insights into their well-being. It transforms raw health data, including vitals, labs, activity, and preventive care, into four quantitative health signals. Utilizing deterministic anomaly detection via Mantic Thinking, the server identifies patterns like "friction" (signal divergence) or "emergence" (signal alignment) and routes the analysis through an inner specialist LLM, providing scaffold-driven, plain-language guidance. All raw health data remains encrypted on the user's device, ensuring robust privacy.

Key Features

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

Use Cases

01Gaining personalized insights into daily physiological stability, metabolic health, activity recovery, and preventive care readiness.
02Detecting early signs of health friction (divergent signals) or identifying emergent opportunities for new health goals.
03Receiving privacy-preserving, scaffold-driven health guidance and analysis from an inner Large Language Model.