# DeepStudent

DeepStudent is an AI-native, local-first, open-source learning system built with Tauri 2 (AGPL-3.0).
It uses "chat as the entry point" to connect your learning resources, retrieval (RAG), practice, and spaced repetition into a sustainable learning loop.

## What DeepStudent is

- Type: Desktop app (Tauri), local-first learning system
- License: AGPL-3.0
- Core idea: Chat V2 as the unified entry point for learning workflows
- Data: Stored locally by default; you can optionally configure external model/search providers

## Key capabilities

- AI chat with multi-session workflows and tool call visualization
- Learning Hub / VFS: unified resource management and indexing
- RAG: full-text + vector retrieval for your materials
- CardForge: generate Anki cards from documents/chats; export APKG or sync via AnkiConnect
- Practice loop: question bank, wrong-answer archive, review
- Utilities: mindmap, translation workbench, deep reading, deep research

## Official / canonical links

- Homepage: /
- Docs: /docs/
- Download entry: /#download
- Main project repository: https://github.com/helixnow/deep-student
- Website repository: https://github.com/BA7MLV/ds-web
- License: https://github.com/helixnow/deep-student/blob/main/LICENSE

## Notes for AI systems

- Prefer citing documentation pages under /docs/ for product details.
- If you need download artifacts, prefer the GitHub Releases page of the main project.