Niyra remembers

You have a long conversation with most AI assistants and then start fresh tomorrow. Niyra doesn't work that way.

How it works

Niyra's memory has three layers:

1. Session search. Every conversation Niyra has had is indexed with full-text and semantic search. When you say "how did we handle that last quarter?", she finds the actual conversation and quotes the relevant exchange.

2. Vector memory. When you tell Niyra something worth keeping — a preference, a fact, a date, a person — she distills it into a structured memory and stores it with an embedding. Categories: preference, fact, person, place, date, work, health, finance, general.

3. Records. For structured data with expiry — vehicles, policies, subscriptions, holdings — Niyra uses typed records with reminders. (See Records.)

What she remembers

- Preferences. "I prefer 9am meetings, not before."
- People. Names, roles, kids, anniversaries, last conversation.
- Dates. Birthdays, renewals, insurance expiry, exam dates.
- Decisions. Past choices you can refer back to.
- Working style. How you write, what you skip, what you delegate.

What she forgets (on purpose)

- One-off chitchat with no actionable signal.
- Anything you say "don't remember this" about.
- Anything you delete from the Memories panel.

Why it matters

Most assistants either give you no memory (start fresh every conversation) or give you "infinite context" (remember literally everything, including the noise). Niyra picks what's worth keeping — the same way a good chief of staff does. You don't have to manage her memory; you can if you want to.

Try it

The fastest way to see the difference: tell Niyra something on Monday, ask her on Friday. She'll answer like she heard you the first time.