StudyHub Local

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Download for macOS · Latest releases · Source code

Version	Status	Mac	Minimum macOS	Signing
v0.3.0-beta.1	Prerelease	Apple Silicon only	macOS 13 Ventura	Unsigned beta, not notarized

The downloaded app includes its local backend. A normal user does not need Git, Node.js, Python, Rust, npm, or Terminal.

Install on macOS

1. Open the GitHub release and download StudyHub-Local-v0.3.0-beta.1-macos-arm64.dmg.
2. Open the DMG.
3. Drag StudyHub Local to Applications.
4. Try to open StudyHub Local normally.
5. Because this beta is not Developer ID signed or notarized, macOS may block the first launch. Open System Settings -> Privacy & Security, find the StudyHub Local message, and choose Open Anyway. Apple documents this standard path in Open a Mac app from an unknown developer.

Do not disable Gatekeeper. Terminal is not required for installation or first launch.

StudyHub Local is an early-stage, local-first workspace for course files from any university. It organizes material by Course -> Week, supports local preview and search, keeps notes and study records, and can optionally answer questions with citations from your own indexed material.

Your original files remain in a folder you control. The app starts with a clean, empty workspace: no sample courses, teacher material, test database, extracted text, or API credentials are bundled into the production runtime.

v0.3.0-beta.1

• Clean first run: create a course or import a folder
• English and Simplified Chinese UI with system detection and a local preference
• Home, Courses, Search, Study, AI, and Settings product architecture
• Local AI conversation history, citations, notes, and teacher-question safeguards
• Public Apple Silicon DMG with a bundled backend and no end-user developer-tool requirement
• Strict production/test fixture separation
• Packaged privacy scanning and published SHA-256 checksum

This is an early unsigned beta. It is not Developer ID signed or notarized.

Screenshots

The first two screenshots show an empty production workspace. The populated Study Engine gallery uses synthetic CS101, ECON201, and STAT210 text fixtures only. No screenshot contains personal information or real course material.

Features

• Organize files by course, week/module, material type, and exercise type
• Preview PDF, text, code, images, and supported Office documents
• Search filenames and readable extracted text
• Ask AI within the current question, file, week, or course scope
• Follow citations to the source file and page/slide when reliably available
• Keep local notes, stars, conversations, practice records, and wrong-question records
• Track per-material progress, flag Needs Review, and use a deterministic local FSRS review queue
• Retrieve teacher-provided questions only; StudyHub does not generate practice questions
• Run without OpenAI for local organization, preview, search, notes, and study records

Source Development Requirements

• Git, Node.js/npm, and Python 3
• Poppler (pdftotext and pdfinfo) recommended for PDF text extraction
• LibreOffice optional for higher-fidelity PowerPoint and Word previews

Quick Start

git clone https://github.com/langming58-hash/studyhub-local.git
cd studyhub-local
npm install
python3 -m pip install -r requirements.txt
npm run dev

Open the printed loopback URL, usually http://127.0.0.1:8765. On first launch, create a course or import an existing course folder. StudyHub does not scan unrelated folders automatically.

On macOS, Start StudyHub Local.command is a convenience launcher for source development. Most users should install the DMG above.

Study Library

Keep real study files outside the repository. A typical structure is:

~/StudyLibrary/
├── CS101 - Programming Fundamentals/
│   ├── Week 01/
│   │   ├── 01 Course Materials/Lecture/
│   │   └── 02 Exercises/Tutorial/
│   └── Week 02/
└── ECON201 - Macroeconomics/

Common formats include PDF, DOCX, PPTX, TXT, CSV, Python, R, and IPYNB where local extraction support is available. Original files remain authoritative and are never converted into unrelated study formats.

Optional OpenAI

OpenAI is server-side and optional. Create .env.local only on your own machine:

OPENAI_API_KEY=
OPENAI_MODEL=gpt-5.4

Never place keys in frontend code, screenshots, logs, issues, or commits. AI uses the narrowest reasonable context first: current question, file, week, then course. If sources do not support an answer, StudyHub returns a no-source response instead of inventing course content. Vector search is an optional retrieval layer; the local original file remains the source of truth.

Privacy And Security

• Loopback-only by default, with no telemetry by default
• Host, exact same-origin, CSRF, request-size, and file-root checks
• Runtime databases, extracted text, previews, logs, secrets, and study files stay out of Git
• Read-only MCP boundary for local integrations
• Privacy and security acceptance suites run in normal CI

Read the Engineering Constitution, SECURITY.md, Privacy, and Architecture before changing trust boundaries.

Development

Synthetic fixtures live only under tests/fixtures/ and are injected by tests. They must never be bundled into production resources.

npm run ci
npm run desktop:check

Desktop build and packaged acceptance:

npm run desktop:setup
npm run desktop:build
npm run desktop:test:packaged

See Development, Desktop Architecture, Design and Interaction, and Contributing.

License

MIT