Based on the SM-2 algorithm. Rate your recall quality to auto-calculate next review date. Multi-subject support with progress stats.
Zero Dependencies Β· Data Stored LocallySpaced repetition is based on the Ebbinghaus forgetting curve. It schedules reviews right before you are about to forget, maximizing retention with minimal study time. Research shows it can reduce study time by 50%.
0=Complete blackout, 1=Recalled with extreme difficulty, 2=Recalled with hesitation, 3=Recalled with some effort, 4=Recalled easily, 5=Perfect recall. Higher ratings produce longer intervals.
Initial intervals: 1 day β 6 days, then multiplied by the easiness factor (EF). Rating β₯3 increases EF (longer intervals), rating <3 decreases EF and resets interval to 1 day.