What question did this study set out to answer?

The aim is to create a neutral standard for representing user identities in AI interactions to facilitate portability.

April 14, 2026Open Access

Universal Cognitive Schema (UCS): An Open Standard for Portable AI Identity

Key Points

The aim is to create a neutral standard for representing user identities in AI interactions to facilitate portability.
Defined a versioned, open data standard for AI profiles
Developed a fidelity scoring model
Outlined zero-knowledge architecture principles
Employed human-led agent-mesh methodology
Establishes a comprehensive schema for AI interactions
Addresses the lack of user-owned cognitive portability
Proposes a design for selective disclosure of personal data

Abstract

The Universal Cognitive Schema (UCS) is an open, versioned, platform-agnostic data standard for representing a person's accumulated AI interaction profile across seven core dimensions: persona, expertise map, project graph, preference corpus, interaction patterns, trust boundaries, and temporal context. UCS addresses a structural gap in the AI landscape — no platform has incentive to build user-owned cognitive portability, so no neutral standard exists. This specification defines the schema, fidelity scoring model, zero-knowledge architecture principles, and selective disclosure design. Developed using a human-led agent-mesh methodology. GitHub: https://github.com/XwhyZ-WHYLD/universal-cognitive-schema

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