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Quizlar — voice-powered AI flashcards with spaced repetition

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by quizlar · JavaScript

Voice-led, FSRS-scheduled flashcards from YouTube, PDFs, web, or text. Auto-graded quizzes.

Voice-led, FSRS-scheduled flashcards from YouTube, PDFs, web, or text. Auto-graded quizzes.

🛠️ Key Features

  • Create flashcard decks from YouTube videos, PDFs, web pages, or pasted text
  • Auto-graded quizzes using tier-1 exact match → phonetic → LLM grading pipeline
  • FSRS spaced repetition with Quizlar as the scheduler of record
  • Works with MCP-compatible clients (Claude, Cursor, Cline, Windsurf, etc.)

🚀 Use Cases

  • Build study decks from multimedia sources (videos, PDFs, pages)
  • Conduct auto-graded quizzes to reinforce learning
  • Track long-term memory with spaced repetition scheduling

⚡ Developer Benefits

  • Public discovery surface and reusable MCP server for flashcards
  • Clear pipeline: creation → grading → memory state updates
  • Interoperable with multiple MCP clients

⚠️ Limitations

  • Source data describes public discovery surface; specifics beyond described features are not provided in the excerpt.
Quizlar — voice-powered AI flashcards with spaced repetition - agentage MCP Catalog