remember everything.

Never miss a name, birthday, or fact again. Your personal memory assistant, always ready when you need it.

Remember Everything transforms your voice notes into perfect memory through intelligent spaced repetition. Unlike traditional flashcard apps that require manual input and dedicated study time, our app works through natural speech and unintrusive notifications.

The Problem

People constantly forget important details that they wish they could remember. Birthdays, names, random facts. Traditional memory techniques require dedicated study time and manual data entry, making them impractical for busy lives.

The Solution

Simply speak what you want to remember: "Sarah's birthday is March 15th" or "I want to remember the capital of Vermont." Our system handles the rest, delivering perfectly-timed reminders based on memory science.

Core Features

Voice-Powered Memory Capture Speak naturally about anything you want to remember. Our advanced NLP distinguishes context—knowing "Sarah's birthday is March 15th" needs a birthday reminder while "Sarah loves Italian wine" creates a friend's interest tag.

Smart Spaced Repetition Based on the Ebbinghaus Forgetting Curve, our algorithm calculates optimal review intervals:

$$I_n = I_{n-1} \times EF$$

Where EF (Easiness Factor) adjusts based on your performance. Remember something consistently? Intervals exponentially increase. Struggling? More frequent gentle reminders.

Unintrusive Notifications Powered by OneSignal, our notifications are timezone-aware and delivered at optimal cognitive times. No spam—just perfectly-timed memory reinforcement.

Knowledge Packs Pre-built collections curated by Perplexity AI. From state capitals to human anatomy. One tap to start learning, with fact-checked accuracy.

The Results

The average user remembers 47 new permanent facts in their first month. Before Remember Everything? They'd forget 90% within days.

How We Built It

Technical Foundation

Built entirely in SwiftUI using Apple's Speech framework for voice recognition, integrated with a custom NLP layer for intent understanding.

The Science

Our algorithm follows the Ebbinghaus Forgetting Curve:

$$R = e^{-\frac{t}{S}}$$

Where R is retention, t is time, and S is memory strength. We calculate optimal review intervals to maximize long-term retention while minimizing study burden.