# Hugging Face Spaces

Operon has a few public demos intended to make the structure more tangible.

## Current Recommended Spaces

### Epistemic Topology Explorer

- https://huggingface.co/spaces/coredipper/operon-epistemic

Use this to explore:

- topology classes
- architecture advice
- practical pattern recommendations

### Diagram Builder

- https://huggingface.co/spaces/coredipper/operon-diagram-builder

Use this to:

- start from practical presets like reviewer gate or specialist swarm
- inspect generated structure
- bridge from patterns down to diagrams

### Bi-Temporal Memory Explorer

- https://huggingface.co/spaces/coredipper/operon-bitemporal

Use this to explore:

- bi-temporal fact management with dual time axes (valid time and record time)
- point-in-time queries that reconstruct belief state at any historical coordinate
- temporal diffs and audit trails showing how corrections preserve full history

### Watcher Dashboard

- https://huggingface.co/spaces/coredipper/operon-watcher

Use this to explore:

- three-category signal classification (epistemic, somatic, species-specific)
- intervention timeline showing retry, escalate, and halt decisions
- configurable thresholds to see how watcher behavior changes

### Adaptive Assembly

- https://huggingface.co/spaces/coredipper/operon-adaptive

Use this to explore:

- task fingerprinting and template scoring from the PatternLibrary
- adaptive organism assembly from ranked templates
- experience pool and intervention recommendations

### Sleep Consolidation

- https://huggingface.co/spaces/coredipper/operon-consolidation

Use this to explore:

- sleep consolidation cycle: replay, compress, counterfactual replay, histone promotion
- memory tier distribution before and after consolidation
- counterfactual analysis of corrected bi-temporal facts

### Social Learning

- https://huggingface.co/spaces/coredipper/operon-social

Use this to explore:

- cross-organism template exchange with trust-weighted adoption
- epistemic vigilance (TrustRegistry) with EMA trust scoring
- curiosity signals triggering escalation on novel inputs

## How These Fit

The current demos are best understood as interactive front doors into the same structure the library uses locally.

They are not separate products. They are ways to inspect the patterns without installing the code first.
