Two things in one place: help your child learn a little every day, and give the grown-ups
a proper paper study workflow: find, save, read, understand, annotate, review and cite.
It all runs in your browser with your own API key. No account, no server.
Live demo · Website · Features · Paper study · Privacy · Quick start · FAQ · 中文
by FantasyAI Lab
Why Sidonie
Sidonie (Chinese name: 伴学, "learning companion") is named after my wife and inspired by our child. Every day I watched the two of them use AI tools that weren't really built for them. The tools were too generic for a child's homework and too scattered for a parent who still wants to keep up with research. So I built one place for both. It started with the people closest to me, and if it works for them it may work for your family too.
The mascot is a moon rabbit (玉兔), chosen for Sidonie because my wife loves rabbits; it reads an open book in front of the moon, the rabbit that reads along with your child (陪孩子一起读书的玉兔), and belongs to the FantasyAI Lab mascot family.
Two pillars, one shared foundation:
| For | What you get |
|---|
| Help Child (帮孩子学) | your child, with you alongside | A curriculum map, concept and quiz cards, and spaced review. Learn a concept, practise, and come back when it's due. It isn't just a chat box. |
| Paper study (大人的论文学习) | the grown-ups | Paper Radar finds new arXiv papers; a reading list and a paper workspace take you from first skim to highlights, flashcards and a ready-made citation. |
| Chat + Notes | everyone | Multi-model chat and notes that both pillars save into. |
- Private by default. Chats, notes, your child's progress, your papers and your keys stay in your browser's storage.
- Bring your own key. Gemini, DeepSeek, Kimi or Qwen. Reading, highlighting, notes and flashcard review work without any key.
Features
Help Child: curriculum, cards, quizzes and spaced review
- Curriculum map. A built-in math path runs from Grade 1 to university. You can also generate a custom course for any subject and grade with AI.
- Three kinds of learning cards. Concept explanations (with follow-up questions), multiple-choice quizzes, and interactive HTML visuals.
- Spaced review. Each quiz answer reschedules the topic (1 day, 3 days, then longer). Topics your child struggled with come back sooner and are marked Review Due.
- Motivation without pressure. XP, levels and badges, plus a calendar of every session.
- Daily notes from school. Log the teacher's message (text or photos). AI can explain the key points for the parent or generate a few practice questions.
Paper study: from radar to citation
Paper Radar used to be a feed of new arXiv papers. It is now a full study loop for the grown-ups:
find → save → read → understand → annotate → review → cite
| Step | What Sidonie does |
|---|
| Find | Browse the newest arXiv papers by topic (LLM, Vision, Agents, Robotics, ML) or search keywords. AI Deep Read and a Daily Briefing summarise in English or Chinese. |
| Save | A reading list with To read / Reading / Read, tags, filters and sorting. Add papers from the feed, by arXiv ID or URL, or import a local PDF. The header shows real stats: papers, read this week, cards due, study streak. |
| Read | Full text extracted from the PDF in the browser (pdf.js, bundled, no CDN) into sections with a contents sidebar. Bilingual mode puts a paragraph-by-paragraph Chinese or English translation next to the original. |
| Understand | One-click structured analysis (TL;DR, question, method, contributions, results, limitations, prerequisites, who should read it). Ask the paper: answers cite the sections they used, retrieved locally with BM25. |
| Annotate | Select text to highlight in four colours, add a note, or have AI explain or translate the passage. A Markdown note per paper, and Export to Notes collects it all. |
| Review | Key-term flashcards reviewed on the same spaced-repetition schedule as Help Child. Due cards show up as "8 cards to review today". |
| Cite | Copy BibTeX, APA 7 or GB/T 7714-2015 in one click. |
Good to know:
- No key needed to study. Reading, highlighting, notes, the reading list, flashcard review and citations all work without an API key. AI buttons explain how to add one.
- Full-text extraction is heuristic. Two-column layouts, headings and hyphenation are handled, but formulas, tables and figure text can come out garbled. Scanned PDFs (images only) have no text to extract, so you get abstract-only mode.
- Text-only providers (DeepSeek, Kimi, Qwen) receive extracted text, trimmed to fit the model's context.
- Where it's stored. The reading list, highlights and flashcards live in
localStorage; PDFs, extracted text, translations, analyses and chats live in IndexedDB.
- The AI panels in these screenshots (explanation, analysis, translation, flashcards) show hand-written demo text, not real model output.
Full guide with every tab explained: docs/paper-study.md.
This is the beginning of the README. Read the rest at the original. Read the full README ↗
