Memory layer

Memory should feel like recall, not data entry.

Memiry turns casual conversation into usable memory. Preferences, facts, and episodes stay structured enough to act on later without feeling like you are filling out forms.

Three memory types

A simple system for what matters later.

Profile snapshot

The app exposes editable memory records and a profile snapshot so important context stays transparent.

Preference: prefers late lunches
Fact: birthday dinner on May 18
Episode: send the studio link tomorrow
The things people like and dislikeThe details you should not loseThe moments that still matter tomorrow

Preference

The things people like and dislike

Food preferences, social patterns, and small personal details stay ready for the next message.

Fact

The details you should not lose

Dates, names, commitments, and context cues are stored cleanly enough to retrieve later.

Episode

The moments that still matter tomorrow

Loose narrative moments become a usable memory cue without turning into a notes app workflow.

01

Tell Memiry what to remember

The app already exposes a free-form composer for memory processing, so the site leans into fast input instead of structured forms.

02

Review the profile snapshot

Saved context remains inspectable through the snapshot and editable records, which makes the AI feel accountable.

03

Recall it when the conversation needs it

Keyword search and memory summaries help the user bring the right detail back without breaking pace.

Keep it in reach

Edit the memory layer from the app, then use it in the keyboard.

The website frames memory as a calm product feature instead of an abstract AI promise, because the iOS app already ships structured memory editing and free-form capture.