Decentralized AI Trust Layer Infrastructure is structured on persistent identity (DID), immutable memory (CID), and a canonical meaning root (CFE) as its foundational core.
Foundational Infrastructure Primitives for Identity, Memory, and Meaning Continuity Across Systems
The Structural Requirements of Multi-Agent AI Trust Layer Infrastructure Begin with the Foundational Primitive Core
AI Trust Layer Infrastructure is defined by three foundational primitives that must be structurally fixed prior to any governance, security, or compliance mechanisms.
Foundational Primitive Core of AI Trust Layer Infrastructure:
1. Persistent Identity (DID)
Decentralized Identifiers enable AI agents, processes, or workflows to maintain a persistent identity across systems. This establishes continuity across systems through persistent identity.
2. Immutable Memory (CID)
Content Identifiers enable AI memory to be recorded as immutable memory. Once recorded, the memory remains consistent over time, preserving continuity across systems and uses.
3. Canonical Meaning Root (CFE)
Canonical Meaning Root provides a shared reference anchor through which meaning and trust records are established on public networks. This enables consistent interpretation and reference across human and machine systems at the Foundational Primitive Infrastructure level.
These three primitives constitute the complete foundational primitive core of AI Trust Layer Infrastructure.