What is DeepTutor?
DeepTutor is a self-hosted AI-powered, open-source learning assistant that transforms how students and researchers interact with textbooks, papers, and technical documents. With multi-agent reasoning, RAG, code execution, and visual explanations, it delivers deep understanding, not just answers. Supports PDFs, LaTeX, images, and more.
Features a semantic Knowledge Graph for smarter connections, plus tools for problem solving, quiz generation, research, and idea creation.
DeepTutor is more than basically the study partner we all wish we had during crunch time. Think of it as a workspace that takes all those heavy textbooks, dense research PDFs, and technical manuals you have lying around and actually makes sense of them. Instead of you drowning in hundreds of pages trying to find one specific detail, this app absorbs the material for you.
DeepTutor is your AI-Powered Personalized Learning Assistant
It’s like having an expert sitting next to you who knows your personal library inside and out, ready to answer specific questions the moment you get stuck.
What really sets it apart is how it handles the hard stuff. It doesn’t just guess or give you a generic summary; it actually works through problems step-by-step, kind of like a teacher showing their work on a whiteboard.
When you ask it something complex, it looks at your documents, checks against the web, and can even run code to test a theory, ensuring the answer is solid. It also points you exactly to the page or source where it found the info, so you can trust what you’re reading.
For the visual learners among us, DeepTutor helps when the text just isn’t clicking. We’ve all been there, staring at a complicated paragraph that makes no sense no matter how many times you read it.
This free and open-source tool takes those knotty concepts or algorithms and breaks them down into clear pictures and interactive demos. It turns abstract ideas into something you can see and follow, which makes the “aha!” moment happen a lot faster.
DeepTutor’s Core Modules
- Smart Solver
- Question Generator
- Guided Learning
- Interactive IdeaGen (Co-Writer)
- Deep Research
- Automated IdeaGen
- Dashboard + Knowledge Base Management
- Notebook
DeepTutor Killer Fatures
- Massive Document Knowledge Q&A with RAG, web search, and code execution
- Multi-Agent Problem Solving with step-by-step solutions and exact citations
- Interactive Learning Visualizations: simplified explanations, visual aids, and adaptive Q&A
- Personalized Knowledge Tracking and session-based learning progress
- Intelligent Exercise Generator: custom quizzes, auto-validated questions, and exam-style simulation
- Deep Research & Literature Review with cross-source analysis and pattern identification
- Novel Insight Discovery: uncover knowledge gaps and generate new research directions
- Automated and Interactive Idea Generation with dual-filter workflow and co-writing
- Podcast-Style Output for concept summarization and learning reinforcement
- All-in-One Personal Knowledge Base: organize documents, build a smart repository
- Personal Notebook: contextual memory for learning sessions with persistent state
- Dark Mode UI for comfortable long-form study and focus
- Structured, intuitive user interface with bidirectional query-response flow
- Hybrid Tool Integration: RAG, real-time web search, academic databases, PDF parsing, Python code execution
- Knowledge Graph & Vector Store for semantic connections and intelligent retrieval
- Memory System: session continuity, citation tracking, and context-aware responses
Conclusion
At the end of the day, this is about getting unstuck and moving forward with your projects. Whether you are deep in academic research or just trying to learn a new technical skill, it creates an environment where you can explore ideas without hitting a dead end.
It takes the heavy lifting out of information gathering, letting you focus on actually understanding the material rather than wasting hours hunting for the right paragraph.
License
DeepTutor is a free and open-source project that is released under the AGPL-3.0 License.
