Kazene Trace Receipt Protocol is a minimal standard for recording structured receipts of AI-assisted creation, transformation, routing, and derivative events without storing raw content by default.

A protocol for AI computational metabolism: breathing, kata reuse, route selection, trace attachment, and return flow to reduce overcompute and preserve origin.

A lightweight memory classification architecture for energy-aware AI systems, based on weighted memory layers, question gravity, and breathing reasoning.