LearnReally
LearnReally — documentation

How it works, in the open.


LearnReally is the memory layer for everything you learn with AI: cards get written for you — by your own agent or by the Deck Builder — and the app makes you recall them right before you'd forget, graded honestly against the reference. These pages document the whole machine: the loop, the methodology behind it, and every limit the server enforces.

The loop

Five steps, closed.

1 — Learn. You study the way you already do: a conversation with an agent, a course, a textbook, a topic you type into the Deck Builder.

2 — Cards get authored for you. Your agent (through the open-source MCP) or the Builder writes proper spaced-repetition cards: one idea per card, phrased for active recall, with a reference answer the grader can judge against. You never hand-write a card.

3 — They sync. Cards land on your phone and the web dashboard automatically.

4 — You recall. When a card is due, you produce the answer from memory — typed or spoken — into an empty field. No multiple choice, no word bank; recognition is the weakest form of memory and we don't test it.

5 — You're graded, and the schedule adapts. The AI marks your answer against the stored reference — never against its own knowledge — and FSRS schedules the next review from how you actually did. Then it tells you to stop: when nothing is due, the honest amount of studying is none.

Chapters

Read in order, or jump.

Documentation — LearnReally