Memory by use case
AI memory for tutoring and learning
A tutor that remembers what you got wrong last week.
Why memory matters here
Good teaching depends on knowing the learner: what they have mastered, where they slip and which explanation worked. A tutor without memory teaches the same lesson to everyone. With memory it can return to a weak topic a few days later, which is when revisiting helps most.
Who a memory belongs to
One memory per learner per subject, with a view for the learner and, for children, a parent or teacher.
The moment it shows
It opens the session with two questions on the exact step the learner missed last time.
What to remember
- Topics covered and how secure each one is.
- Recurring mistakes, described precisely.
- Explanations and examples that worked for this learner.
What to forget
- Old mistakes once the learner has clearly moved past them.
- Labels about ability. Record what happened, not a verdict on the person.
- Personal details a child shares in passing.
See recall before you build it
Add a few facts from your own use case and ask a question.
Tutoring and learning: common questions
What should an AI tutor remember about a student?
Progress by topic, specific recurring errors and what kind of explanation helped. That is enough to plan the next session.
Are there special rules for children?
Often yes. Many countries have stricter rules for children's data. Keep less, involve a parent or school, and take legal advice for your market.
Other use cases
Health and wellness coaches
Continuity for habits, with care about what is kept.
What to rememberResearch agents
Long investigations that survive a full context window.
What to rememberGame characters
Characters that remember what the player did to them.
What to rememberCustomer support agents
Stop asking customers to explain the same problem a third time.
What to rememberPack the doko. Ask it anything.
Nine memories, one question, no account. See which facts an agent would carry into its next answer.