The network coordinate for AI memory — the distributed layer where agents retain, retrieve, and share context.
Memory is the substrate that makes AI agents coherent over time and across sessions; .network positions this as a distributed, connective capability rather than an isolated store.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Architectural context
AI · Vertical-Specific · 2 compound moats. Cross-cutting: Memory.
Layer position: Cross-cutting
Why this is canonical
AI memory — persistent context that survives session boundaries — is one of the most active infrastructure problems in the agentic era. The .network TLD signals that this memory is distributed and connective, placing the holder at the intersection of agent memory architecture and the infrastructure that connects agents across time and systems.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.