AiCognitive Physics Pet

AICognitive Physics Pet

A personal AI companion, life tracking system, and intelligence platform built on the Cognitive Physics framework.

The app combines health tracking, AI reasoning, and a multi-agent system designed to help you understand patterns in your daily life.

All core systems run locally on your device.

Health & Wellness Tracking

Track signals from daily life and observe how patterns evolve over time.

Features include:

• Optional notes for context when logging entries • Trend visualization across days, weeks, and months • Consistency scoring to compare written notes with mood ratings • Integration-ready for biometric inputs through Apple Health

Sleep Tracking

Understand your sleep patterns and recovery cycles.

• Sleep schedule logging • Pattern recognition for sleep habits • Consistency analysis over time • Entropy analysis of sleep variability

Eating & Wellness

Log nutrition and observe its influence on your wellbeing.

• Food tracking • Quality-aware meal logging • Nutritional pattern tracking • Impact analysis on personal wellness metrics

Cognitive Physics Engine

At the core of the system is a mathematical equilibrium model.

The engine operates around the principle:

C − H ≈ 0

Where:

• C (Coherence) represents stability and structure • H (Novelty / Entropy) represents change and exploration

The system seeks equilibrium between these forces.

Capabilities include:

• Multi-agent coordination • Continuous internal cross-correction • Variational mechanics and attractor dynamics • Constraint-based behavior modeling • No black-box LLM dependency

The Hive: Multi-Agent Intelligence

Ten internal agents collaborate behind the scenes:

Calm Curious Ground Flow Anchor Breathe Present Kind Steady Clear

Each agent:

• Tracks coherence (C), novelty (H), and system drift • Evaluates patterns in user data • Contributes to insights and predictions

Response Pipeline

When generating insights, the system follows a structured pipeline: 1. Memory recall 2. Sentence construction 3. Quality scoring 4. Equilibrium validation

Memory & Learning Systems

Your AI companion learns only from the data you choose to provide.

Components include:

WorldviewStore Long-term memory that reorganizes toward coherence.

VectorLongTermMemory On-device semantic search using Core ML embeddings.

FeedTheAIStore Articles, PDFs, and links you choose to provide.

PredictionPatternStore Learns your language patterns and phrasing preferences.

All memory is stored locally on your device.

AICognitive Physics Architecture

The system integrates multiple subsystems into a unified platform.

Components include:

• Pet Companion interface • Chat and intent system • Life tracking systems • Knowledge ingestion tools • Multi-agent reasoning engine • Telemetry dashboards • Local-first storage architecture

Users interact through the Pet Companion interface, while the full system operates behind the scenes.

Life Tracking System

Track daily activity and personal signals including:

• Anxiety • Mood • Sleep • Food • Workouts • Runs and walks • Steps • Notes and voice memos • Relationships • Calendar events

All data remains stored locally.

Knowledge System

Feed information into your personal AI.

Supported inputs include:

• Text notes • URLs • Research articles • PDF documents

Content is indexed locally and becomes part of your AI’s knowledge system.

Health OS Registry

The platform contains 115 AI modules organized into four layers:

• Sensing • Interpretation • Decision • Action

These modules analyze patterns across:

• mental wellbeing • sleep and recovery • physical activity • nutrition • behavioral habits • cognitive performance • preventive health • mindfulness regulation • life balance

Privacy

Your data belongs to you.

• All core systems run locally • No personal data is sold or shared • Internet access is optional and only used for external content requests