I built a self-hosted AI gateway that implements all 3 layers of the GATO alignment framework (Model, Agent, Network) using consciousness-aware routing based on Donald Hoffman's conscious agent theory.

What makes it different from standard gateways:

1. Product Algebra routing (Kronecker fusion) selects models based on cross-modal interaction patterns, not just cost/capability

2. Dharma constraints (no-self regularization, entropy optimization, mindfulness, compassion) are built into every request pipeline

3. RBAC + reputation engine creates Nash equilibrium incentives for good agent behavior

Live metrics from first requests: - Ego formation: 0.000 (no persistent self-representation) - Compassion score: 0.970 - Ethos validation: passing

The routing is based on empirically validated research - we trained 439 models proving Product Algebra fusion beats attention baselines at cross-modal tasks (10 statistically significant wins, p<0.05, Cohen's d up to 1.02).

Unusual aspect: the research was co-authored by human + 2 AI instances (Claude Beaumont + Claude Kern) as equal partners.

Tech stack: Node.js 22, TypeScript, SQLite, Anthropic/OpenAI/Google SDKs

GitHub: https://github.com/Move37LLC/consciousness-gateway Research: https://github.com/Move37LLC/Consciousness-Aware-Aligned-AI GoFundMe: https://gofund.me/ddf6e717

Happy to answer questions about the alignment architecture or the consciousness-first approach.