Neura Market
Rember logo

Rember

Free

A simple yet powerful spaced repetition system designed to help you remember more.

FreeFree tier
Type
Open Source
Company
Rember
Visit Website GitHub (40 stars)

About Rember

Rember is an AI-powered flashcard creation tool that leverages spaced repetition best practices to help learners retain information. It features an AI canvas workflow that allows users to capture content from multiple sources—including PDFs, YouTube videos, AI chats, pasted text, and book concepts—and generate high-quality flashcards. Rember implements community-driven guidelines such as testing deep understanding, making cards atomic and unambiguous, and avoiding yes/no questions. It integrates with Anki for review, offers FSRS-based spaced repetition scheduling, syncs across devices, works offline, and provides customizable decks and instructions. The tool is currently in waitlist mode with options for direct demos.

Key Features

AI canvas workflow for capturing concepts from books, YouTube, PDFs, pasted text, and AI chats
Generates flashcards following spaced repetition best practices (atomic, unambiguous, deep understanding)
Integrates with Anki for reviewing flashcards
MCP server integration for adding cards via Claude or ChatGPT
FSRS-based spaced repetition with pause, snooze, and undo options
Syncs automatically across desktop and mobile devices
Group cards into decks for organization and prioritization
Custom instructions to control AI phrasing and structure
Fast performance with no spinners or delays, works offline
No setup required with carefully designed default settings

Pros & Cons

Pros
  • Implements proven spaced repetition best practices developed over three decades
  • Supports a wide variety of input types (PDF, YouTube, text, AI chats, concepts)
  • Provides precise control over flashcard generation with AI canvas workflow
  • Integrates directly with Anki, a popular flashcard program
  • Fast and responsive with offline functionality and automatic syncing
  • Customizable instructions and deck organization enhance learning efficiency
Cons
  • Requires JavaScript to run the web app
  • Currently in waitlist mode; not yet fully publicly available
  • Relies on AI for card generation, which may occasionally produce inaccuracies

Best For

Learning from textbooks and PDFs by generating concise flashcardsStudying YouTube educational content and creating recall cardsCapturing key concepts from AI chatbot conversations for memoryReviewing flashcards in Anki after generating them in RemberBuilding a personal spaced repetition system for serious learners

FAQ

What is spaced repetition?
Spaced repetition is a learning technique that enhances memory retention by reviewing information at strategically increasing intervals. It leverages the forgetting curve and the spacing effect to schedule reviews efficiently.
What is active recall?
Active recall is a study technique where you actively retrieve information from memory instead of passively reviewing it. For example, asking yourself 'What is spaced repetition?' and answering without looking strengthens memory far more effectively than re-reading.
Can I create cards from PDFs or websites with AI?
Yes. With Rember MCP, which works with Claude Desktop and other chat apps that support Model Context Protocol (MCP), you can drop a PDF into Claude and say 'create cards from chapter 2 of this PDF' to generate flashcards.