The Phoenix Architecture
P31 2.0 represents an evolutionary leap in neurodivergent support technology. Three pillars, one unified system. Edge-native. Open source. Actually secure.
Live Agent Fleet
Predictive Intelligence
Continuous biometric + behavioral pattern analysis enables pre-crash intervention. 30-minute, 2-hour, and 12-hour predictions using LSTM-inspired models.
https://phos-oracle.trimtab-signal.workers.dev →Key Features
- Spoon depletion forecasting
- Crisis probability calculation
- Calcium correlation detection (hypoparathyroidism)
- Circadian rhythm analysis
- HRV biofeedback integration
Components
Collaborative Mesh
Family K4 vertices share anonymized spoon states with EigenTrust-based task delegation. Spoon borrowing protocol enables collective crisis response.
https://phos-weave.trimtab-signal.workers.dev →Key Features
- Family mesh synchronization
- Trust-based spoon lending
- Automated crisis response teams
- EigenTrust reputation system
- Edge-native secure coordination
Components
Embodied Presence
Persistent 3D avatar in Geodesic Room with voice-first interface. Procedural animation reflects spoon state and emotional condition.
https://p31ca.org/centaur →Key Features
- 3D avatar with aura visualization
- Voice interface with Whisper.cpp WASM
- Procedural emotional animation
- Real-time mesh presence
- SOULSAFE safety constraints
Components
Technology Stack
Active Worker Fleet
Data Flow Architecture
Biometric Stream → Pattern Analyzer → Prediction Engine → Family Mesh
↓
Crisis Predictor → Collective Response
↓
Avatar Aura → Voice Interface → User
Zero-knowledge architecture: Sensitive biometric data never leaves your device. Only anonymized pattern metadata flows to the mesh.
Security & Privacy
Explore the Code
P31 is fully open source under AGPL v3. Explore, fork, and contribute. 22 research publications available on Zenodo.
View on GitHub →