It is not the whole product. It is a standalone, reproducible subset of the internal stack that demonstrates five concrete properties:
- Competitive attention selection through a Global Workspace.
- A rolling autobiographical present through temporal binding.
- Self-prediction and surprise tracking.
- Homeostatic internal drives that change system state over time.
- Structural opacity measurements over hidden state dynamics.
This repository can support claims like:
- "Aura has a real internal cognitive architecture, not just a prompt wrapper."
- "Hidden internal state changes attention, continuity, and behavior over time."
- "The system maintains a measurable autobiographical present."
- "The system tracks surprise against its own predicted internal state."
- "The system exposes nontrivial hidden-state dynamics that can be measured."
Aura implements a measurable consciousness-inspired stack with causal hidden state, persistent temporal continuity, internal self-modeling, and opacity metrics.
I know this is a big claim, and this repo can back it up.
aura_consciousness_proof.global_workspaceaura_consciousness_proof.temporal_bindingaura_consciousness_proof.self_predictionaura_consciousness_proof.homeostasisaura_consciousness_proof.structural_opacityaura_consciousness_proof.report
python -m venv .venv
source .venv/bin/activate
pip install -e .[dev]
pytest
aura-proof-report --cycles 20 --json report.json --markdown report.md