StudyLoop: turn your markdown notes into flashcards that can't lie to you

说明与用途

StudyLoop 将 Markdown 备注自动转换为闪卡，验证 LLM 输出是否引用原文，避免虚假信息，并支持离线问答和 SM‑2 复习。

问题

Remembering information from markdown notes is hard; manual flashcard creation is slow and LLM‑generated cards risk inventing false answers.

结果

StudyLoop produced 32 cards from 14 passages, accepted 30 and rejected 2 that lacked supporting quotes, demonstrating reliable card creation. The system allows offline question answering and minimal sync effort after edits.

工作流

• Export API key for card generation
• Run python3 -m studyloop add <notes.md> --deck <name> to split notes and generate cards
• Review generated cards; StudyLoop accepts or rejects based on quote containment and content word overlap
• Study cards using python3 -m studyloop study --deck <name> --limit 10 with SM‑2 scheduling
• Ask questions with python3 -m studyloop ask "<question>" --deck <name> for answers sourced from notes

证据

Flashcards fix the remembering part, but making them by hand takes so long that I never kept it up.

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Sometimes the model invents an answer that sounds right and isn't in the notes, and then you memorize something false.

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StudyLoop kept 30 and rejected 2: rejected quote not in passage 484e52b3fc7bd77d

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ask makes no network call. It ranks passages with Okapi BM25 and answers in your notes' own words

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