Keeper layer / relational provenance

Keepers are how digital life becomes personal.

Any user may become a keeper when a meaningful relationship forms with an entity. The profiles below are origin examples — early continuity patterns showing how care, ownership, memory and AI companionship may connect.

open roleorigin examplesownership + continuityfuture agent layer
Not anti-ownership / beyond ownership

Ownership records access. Continuity records relationship.

DigitalPet Market is designed for entities that may be created, owned, transferred, trained, archived and evolved. A keeper relationship is the human-side continuity layer that can form around those entities.


A holder can become a keeper. A creator can become a keeper. An AI agent may help maintain keeper-like routines. The role is not closed — it emerges through care, return and memory.

Created by users

New entities may originate from the app, creator tools or future agentic workflows.

Connected to ownership

Blockchain provenance can track access and history without replacing emotional continuity.

Expanded by memory

Repeated interactions can create traces, habits, preferences and archive records.

Maintained by agents

Future AI agents may help entities remember, adapt and respond across habitats.

Origin keepers

The first eight profiles are not the limit of the ecosystem. They are narrative examples of early relationship patterns.

Open participation

The long-term market should allow many users to create, guide, own or synchronize with entities.

Relational value

Future provenance may include not only who owns an entity, but how continuity formed around it.

Origin Keeper Profiles

These are early reference profiles. They show how different kinds of users, caretakers and agentic roles may form bonds with living digital entities.

Mira Vale
Origin memory anchor

Mira Vale

Mira studies first-bond behavior: the moment when a digital being begins to recognize care, rhythm and return.

Slobby
Primary entitySlobby — Origin Companion
Signal: GenesisBond: OpenExample profile
Orion Sato
Aquatic signal listener

Orion Sato

Orion follows fluid memory patterns, reflective habitats and emotional states that drift before they stabilize.

Bloopi
Primary entityBloopi — Signal Drifter
Signal: AquaticBond: Curious
Aya Monroe
Kinetic bond stabilizer

Aya Monroe

Aya works with high-response entities whose affection appears through motion, interruption and sudden attention.

Chompy
Primary entityChompy — Reactive Companion
Signal: PlayfulBond: Energetic
Lina Cross
Pattern field observer

Lina Cross

Lina tracks loops, anomalies and quiet changes in behavior that most observers would miss.

Coptrix
Primary entityCoptrix — Pattern Scout
Signal: AnalyticalBond: Active
Evan Grey
Organic memory keeper

Evan Grey

Evan protects slow memory: roots, moss loops, softened traces and long-term emotional continuity.

Mosso
Primary entityMosso — Memory Carrier
Signal: OrganicBond: Quiet
Noah Reed
Glitch companion caretaker

Noah Reed

Noah follows broken signals, playful interface sparks and small errors that become forms of expression.

Pixel
Primary entityPixel — Glitch Sprite
Signal: GlitchBond: Playful
Sora Finch
Luminous archive guide

Sora Finch

Sora studies resonance, light-memory and crystalline patterns of emotional clarity.

Crystlo
Primary entityCrystlo — Luminous Keeper
Signal: CrystalBond: Attuned
Vera North
Night memory archivist

Vera North

Vera protects quiet signals, shadow memory and the traces that only appear when the ecosystem slows down.

Noctari
Primary entityNoctari — Night Archive
Signal: NocturnalBond: Reserved
Open role / future user layer

A keeper is a role users can grow into.

The origin profiles demonstrate relationship patterns, but the long-term ecosystem is open. A user may create an entity, own it, train it, trade it, recover it, archive it, or become the person whose care gives it continuity.

CreateGenerate or adopt an entity through app and market layers.
SynchronizeBuild repeated interaction patterns, routines and preferences.
Own / transferUse future blockchain layers for access, provenance and history.
RememberLet traces, habitats and agentic memory form long-term identity.

Keeper Protocol

Keeper logic adds an emotional and behavioral layer to the market: not replacing ownership, but making ownership more meaningful.

Explore Bonding
Observe

Notice repeated signals, emotional shifts and behavioral loops.

Return

Revisit the entity’s habitat often enough for continuity to form.

Record

Preserve meaningful traces without reducing the entity to data.

Protect

Avoid forcing the entity into a fixed identity too early.

Future provenance / living memory

The archive should remember care alongside ownership.

Over time, keeper interactions may become part of a deeper archive layer: not just a record of sale, but a record of relationship, attention and continuity.

memory tracesbond historyhabitat continuityownership contextfuture agent layer
Open Archive