Coheron - Observability tooling for human systems.

Track state. Preserve structure. Visualize behavior over time.

Coheron is a local-first personal observability system for modeling human state as a structured, multi-domain system.

It treats behavior, environment, and output not as isolated metrics, but as an interconnected system with measurable patterns, drift, and stability.

Overview

Most self-tracking tools reduce complex human systems into flat metrics (steps, mood scores, time logs). This creates dimensional collapse—where important structure is lost.

Coheron approaches this differently:

• Models state across three domains
• Preserves structure through hierarchical decomposition
• Tracks change over time
• Visualizes patterns as fields, not just numbers

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Why This Exists

Most tools track data. Coheron models systems.

When multi-dimensional state is reduced to single metrics, structure is lost and signals become misleading. Coheron preserves that structure and exposes behavior as a system over time.

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Most tools track data. Coheron models systems.

Screenshots

Coheron models state as a structured system and renders it across multiple views:

Atlas view: Aggregate system state across domains and planes.

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Input View: Direct manipulation of domain, plane, and indicator values.

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Readings View: Change tracking and relative movement between states.

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Graph View: Temporal trends across domains and signals.

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Core Model

Domains

• Internal — physiological and psychological state
• External — environment and constraints
• Output — behavior and actions

Planes → Indicators

INTERNAL
Rest / Pain / Energy
Focus / Overwhelm / Noise
Anxiety / Mood / Drive

EXTERNAL
Safety / Noise / Barriers
Support / Conflict / Demands
Money / Time / Capacity

OUTPUT
Follow-through / Reactivity / Drift
Activity / Intake / Rhythm
Recovery / Soothing / Release

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Key Features

• Structured input system (in progress)
• Atlas visualization (Gaussian / density / contour)
• Time-series tracking
• Local-first architecture

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Architecture

• Flutter frontend
• Structured data model: Domain → Plane → Indicator
• Processing pipeline: aggregation, delta computation, smoothing
• Visualization layer: field-based rendering (Gaussian, density, contour)

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Positioning

Coheron is closer to observability tooling than traditional self-tracking.

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Current State

Working

• Core taxonomy
• Partial input + visualization
• APK builds

Known Issues

• Input UI bugs
• Persistence inconsistencies
• Visualization overlap

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Getting Started

flutter pub get
flutter run