memento-flashcards

To generate flashcards from a YouTube video transcript, you provide the video URL to the agent, which then uses the youtube-transcript-api to instantly create a 5-question quiz session for active recall.

Spaced repetition scheduling optimizes memory retention by automatically adjusting the review frequency of flashcards based on your real-time performance grading, ensuring factual content is reviewed at optimal intervals.

Yes, you can create custom Q/A pairs directly from text. The system manages a local spaced-repetition flashcard setup that turns factual content into structured, adaptive learning sessions without requiring video input.

Yes, you need a standard Python runtime environment to execute the local scripts and manage the JSON-based data storage required for the spaced-repetition flashcard system and automated quiz generation.

The agent evaluates answers during a flashcard quiz session using free-text grading, providing real-time feedback and correcting misconceptions directly within the local learning environment.

Using JSON-based data storage for flashcards limits the system to local file-based management, which means it does not support cloud synchronization or multi-device access, restricting learning sessions to your local Python environment.