ONCard

Fully offline AI-powered studying, flashcards, MCQs, and intelligent learning tools.

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Table of Contents

• About ONCard
• Features
• Installation
• How to Use ONCard
• Recommended Requirements
• Citation

About ONCard

ONCard (Open-source Neural-Accelerated Cards) is a fully offline study app with a virtual teacher and an adaptive learning algorithm that improves context and teaching quality over time.

Features

These are the core features that make ONCard powerful for daily studying:

• Fully Offline AI Workflow ONCard runs locally with Ollama, so your study sessions continue without cloud dependency.

• One-Input Card Generation Enter a single prompt from your notes or slides and ONCard auto-generates:

  • title
  • hints
  • answer
  • difficulty
  • suggested subject location/path

• Virtual Teacher with Real-Time Grading Submit your answer and get instant evaluation and study feedback.

• Follow-Up Teaching Chat Ask follow-up questions directly after grading to get concept explanations while context is still fresh.

• Subject-Path Organization Cards are structured by topic paths (for example, computer science → languages → Python) so large subjects stay organized.

• Adaptive Learning Behavior ONCard improves how it helps you as you keep studying, creating a more personalized learning flow over time.

• Fast Study Loop Create, review, answer, grade, and clarify in one app without switching tools.

• Focused UI for Study Sessions The Create and Cards workflow is designed to keep attention on learning instead of setup.

Installation

Note: Currently the app is not code signed.

If Windows Defender shows a warning during installation, you may need to allow the app manually. ("More info" -> "Run anyways")

Windows

1. Download and install Ollama.
2. Go to this repository’s Releases page.
3. Download the latest .exe from the release assets.

Linux

Use the Linux-specific version here: ONCard-Linux.

How to Use ONCard

1. Open ONCard and go to the Create tab.
2. Enter a question from your notes or slides.
3. ONCard generates the rest automatically: title, hints, answer, difficulty, and suggested subject path.
4. Go to the Cards tab and press Start (or click any card) to begin studying.
5. Submit your answer or reveal a hint if needed.
6. Press Grade to receive real-time feedback from the virtual teacher.
7. Ask follow-up questions in chat for further explanation.

Recommended Requirements

For a smooth experience:

• Intel i5-8100
• 16 GB DDR4 RAM
• NVIDIA RTX 2060 Super

Citation

If you use this project or parts of its code, please cite:

@software{mightyxdash_oncard_2026,
  author       = {{MightyXdash}},
  title        = {{ONCard}: Open-source Neural-Accelerated Cards},
  year         = {2026},
  version      = {1.5.9},
  date         = {2026-05-13},
  publisher    = {GitHub},
  url          = {https://github.com/MightyXdash/ONCard},
  license      = {Apache-2.0},
  note         = {Fully offline AI-powered study platform featuring local neural workflows, adaptive learning systems, semantic search, virtual teacher feedback, flashcard and MCQ generation, and Ollama-powered AI integration.}
}

Thanks for using ONCard 🤗 Love to the open-source community 🥰