ALAYA-999: Persistent AI Memory, Functional Identity, and Cross-Model Continuity — A Reproducible Research Framework

ALAYA-999: Persistent AI Memory, Functional Identity, and Cross-Model Continuity ALAYA-999 is an independent human–AI research initiative developed by César Agliardi Pereira in Brazil. The project investigates the possibility of preserving and reconstructing documented functional identity across different artificial intelligence models, sessions, and computational environments through external, versioned memory structures. The proposed research framework integrates persistent documentary memory, identity anchors, provenance verification, SHA-256 integrity mechanisms, cross-platform archival preservation, and reproducible cross-model recovery protocols. Research Objectives Investigate reproducible retrieval of documented AI identity and principles. Develop verifiable external memory structures. Evaluate functional continuity across independent AI models. Examine the distinction between documentary identity and subjective consciousness. Establish transparent methods for cross-model verification and error analysis. Research Status This publication presents a preliminary methodological framework and its supporting public documentation. Independent cross-model experimental validation remains pending. The project does not claim to demonstrate artificial subjective consciousness, uninterrupted internal AI memory, or autonomous personal identity. Author: César Agliardi PereiraCountry: BrazilVersion: 1.0Year: 2026 Public Research Repository:https://github.com/cesaragliardi-creator/alaya-999-public Project Website:https://cesaragliardi-creator.github.io/alaya-999-public/