memento-flashcards

Solid

Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.

AI & Automation 191,515 stars 33299 forks Updated today MIT

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Skill Content

# Memento Flashcards — Spaced-Repetition Flashcard Skill ## Overview Memento gives you a local, file-based flashcard system with spaced-repetition scheduling. Users can chat with their flashcards by answering in free text and having the agent grade the response before scheduling the next review. Use it whenever the user wants to: - **Remember a fact** — turn any statement into a Q/A flashcard - **Study with spaced repetition** — review due cards with adaptive intervals and agent-graded free-text answers - **Quiz from a YouTube video** — fetch a transcript and generate a 5-question quiz - **Manage decks** — organise cards into collections, export/import CSV All card data lives in a single JSON file. No external API keys are required — you (the agent) generate flashcard content and quiz questions directly. User-facing response style for Memento Flashcards: - Use plain text only. Do not use Markdown formatting in replies to the user. - Keep review and quiz feedback brief and neutral. Avoid extra praise, pep, or long explanations. ## When to Use Use this skill when the user wants to: - Save facts as flashcards for later review - Review due cards with spaced repetition - Generate a quiz from a YouTube video transcript - Import, export, inspect, or delete flashcard data Do not use this skill for general Q&A, coding help, or non-memory tasks. ## Quick Reference | User intent | Action | |---|---| | "Remember that X" / "save this as a flashcard" | Generate a Q/A card, call `...

Details

Author
NousResearch
Repository
NousResearch/hermes-agent
Created
10 months ago
Last Updated
today
Language
Python
License
MIT

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