HealthyPi Ecosystem
Contents
Concept
Modular health monitoring ecosystem that translates raw biometric data from HealthyPi hardware (Pi HAT and wearable) into structured metrics for agent-driven analysis. Swift collectors on Apple devices capture HealthKit data, publish to a NATS broker, and Python agents in containers run analysis pipelines — all coordinated by the multi-agent orchestrator.
Architecture
- HealthyPi 6 (Pi HAT): ECG, PPG, SpO2, temperature via serial/USB
- HealthyPi Move (wearable): accelerometer, PPG via BLE
- Ingest path: hardware stream, normalize, publish to NATS (
biometric.raw.*) - Agent integration: leverages the multi-agent framework (NATS broker, TLS 1.3, capability tokens)
- Visualization: desktop (menu bar) and Apple ecosystem (iOS/Watch)
Features
- Standardized data models for multi-modal biometrics
- Synthetic “Virtual Patient” for hardware-free development
- Real-time and historical analysis via agent pipeline
- Unified visualization across desktop and mobile
Quick Facts
| Status | Last Active: 2026-02-20 |
| Stack | Python |
Core Value
A modular, agent-aware health monitoring ecosystem that translates raw biometric data from HealthyPi hardware (6 and Move) into actionable insights and automated interventions.
Vision
To bridge the gap between high-fidelity biometric hardware and daily health management through synthetic data simulation, advanced analysis, and agentic intelligence.
Constraints
- Must support HealthyPi 6 (Pi HAT) and HealthyPi Move (Wearable).
- Modular architecture to allow agents to consume trends.
- Integration with existing
./agent-framework(security-first multi-agent system).- Key Discovery: Framework already includes Health Agent with HealthKit integration
- Leverages: NATS broker (TLS 1.3 + ACLs), Orchestrator (LLM planning), Capability tokens (Ed25519)
- Pattern: Swift collectors (host) → NATS → Python agents (containers) → Orchestrator
- Target platforms: Desktop (Menu Bar) and Apple Ecosystem (iOS/Watch).
- Security-first design: capability-based authorization, audit trail, container isolation.
Target Outcomes
- Standardized data models for multi-modal biometrics.
- A “Virtual Patient” for hardware-free development.
- Agentic tools for real-time health coaching.
- Seamless visualization across desktop and mobile.
Current Milestone: v1.1 Hardware Ingest (HealthyPi 6 + Move)
Goal: Connect real HealthyPi hardware streams into the existing NATS-first pipeline so analysis, agents, and Apple/Desktop clients can run on live data (not just simulator output).
Target features:
- HealthyPi 6 ingest path (serial/USB) -> normalize -> publish to
biometric.raw.*and/orhealth.healthypi.* - HealthyPi Move ingest path (BLE) -> normalize -> publish to
biometric.raw.*and/orhealth.healthypi.* - A unified ingest CLI/service with reconnection, timestamping, and device metadata
- Minimal end-to-end verification: hardware -> NATS -> analysis -> at least one UI client
Last updated: 2026-02-20 after starting milestone v1.1 planning
Current Status
** 2026-02-20 - v1.1 roadmap created