Private memory.
Persistent context.

We are building the memory foundation for privacy-first AI agents. Zelo is the first application; continuity across other apps and channels is our longer-term vision.

01 / Privacy

Built to be checked.

Protection is a system of decisions: who gets access, how long data stays, and what a model is allowed to learn.


01 / PERSONAL CONTEXT

Start with the person

The agent’s memory should serve the person it belongs to, with clear boundaries around access and use.

02 / DATA

Design for control

What is kept, what reaches an AI provider and what can be removed are decisions at the heart of the product.

03 / DEVELOPMENT

Be clear about the stage

Zelo is in development. Bloom and connections to external assistants and channels are planned.

04 / Limits

Establish the boundary

Participation in an ecosystem should come with explicit boundaries for what each participant can access.

05 / CONTEXT

Understand what is shared

A useful response needs context. Explain which information is used and why it is relevant.

06 / CONTINUITY

Keep the person at the center

Our vision is for private memory to remain useful as a person moves between apps, assistants, messages and calls.

02 / The Ring — Persistent memory

A memory with
structure, in layers.

A useful AI product can carry relevant context from one interaction to the next. Facts remain connected to sources, so people can understand and correct what is remembered. Facts, sources, dates, documents, and what is due next. The Ring keeps a structured memory of the subject your companion serves.

Every fact is a line you can read, dismiss, restore, and export.

The memory foundation is under development for Zelo. The broader architecture describes where we want to take personal agents.

A person holding connected memories

FIRST INTERACTION

Establish context

Start with the subject, the question and the information a person provides.

OVER TIME

Keep useful facts

Carry relevant records and their sources forward instead of relying on a single conversation.

NEXT INTERACTION

Retrieve what matters

Use that history to inform the response, while keeping the record open to inspection.

SESSION

HOURS
context for the moment, cleared when the moment passes.

RECENT PATTERNS

WEEKS – MONTHS
routines, changes, the shape of now.

PERMANENT ARCHIVE

YEARS
The record of a life: Inspectable, exportable, and only ever yours.

03 / How it works

Our design principles

The principles guiding our development: private personal context, useful memory and clear boundaries. Availability will be described for each product as it launches.

ISOLATION

Separate personal contexts

A person’s records belong in their own context, with boundaries between accounts.

DATA LIFECYCLE

Memory under your control

Design memory so the person can understand what is kept and how to correct or remove it.

MODEL TRAINING

Personal context stays personal

Our commitment is to build personal memory for the person, without using it to train shared AI models.

USE POLICY

Care is the purpose

Participation by a business should have a clear purpose and permission, with access boundaries around personal records.

OBSERVABILITY

Operational boundaries

Supporting a product should not mean unrestricted access to someone’s personal history.

DATA PROTECTION

Protection throughout

Consider how information is protected when stored, transferred and used to produce a response.

ACCURACY

You confirm what we read

Information read from a document should be reviewable before it becomes part of the record.

TRANSPARENCY

How AI fits in

Explain the role of external AI providers and the context a response may require.

PORTABILITY

Beyond one interface

Connections to assistants, messaging and voice are planned paths for the same private memory.

04 / Technology, privacy and security

Clear about what comes next.

Is conversation data used to train shared models?
No. Conversation data is never used to train shared AI models.
Does context reach a model provider?
Yes. Selected messages, profile information, relevant facts and document passages may be sent to a provider. The current system does not conceal all prompt content from that provider.
How does privacy guide the design?
We start with personal context, clear access boundaries and control over what is remembered. Product-specific details will be published as development progresses.
Will the agent work outside an Onyon app?
That is our vision. Connections to AI assistants, messaging, SMS and voice are planned, with no availability date announced.
What is available today?
Zelo is in development. Bloom, partner record connections and external channel integrations are planned. We are discussing partnerships ahead of launch.
What does persistent memory contain?
Persistent memory brings together useful facts, records and their sources over time. Zelo applies that idea to the history of a pet.
How can a partner participate?
We are seeking partners to offer Zelo to their customers, connect clinics and pet shops to Bloom, or explore both paths in the same pilot.
Read about our data practices