Personalize every experience with your data

Every app should know what fits you, before it offers anything.

PersonaLayer builds a private persona from the signals around you, so AI agents and apps can understand your taste, goals, workflow, and personality, then offer the right next action with your approval.

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goals
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What PersonaLayer provides

Three workflows. One personal layer.

The product stays simple: memory on the device, a living persona formed from that memory, and a user-chosen filter that controls what apps can use.

01 - Device memory

Your data becomes local memory.

Signals from apps, agents, browsers, documents, and tools are stored on the device so the system can learn without sending raw behavior to the cloud.

Local-first storage Raw data stays near the user Useful signals are preserved
02 - Persona

A living profile of how you work.

PersonaLayer turns repeated behavior into editable attributes: interests, goals, style, preferences, current context, and what apps should offer next.

Goals and interests Personality and workflow style Relevant recommendations
03 - User-chosen filter

You decide what leaves.

Before any AI agent or app receives context, the user chooses what is allowed, what is blocked, and which app gets access.

Approved context only Private fields blocked Revoke access anytime