DeepTutor.info

What is DeepTutor.info?

DeepTutor is an open-source, agent-native learning companion designed to grow with you. It provides a unified workspace where features like Chat, Partners, Co-Writer, Book, Knowledge, Memory, and Settings seamlessly integrate, ensuring you never lose your place when switching between surfaces. The platform is fully open-sourced and customizable, offering a persistent runtime that supports tools, retrieval, attachments, and memory in a single session. With persistent companions that have their own personality, library, and IM channels, DeepTutor enables you to connect local Claude Code or Codex agents and import past chats for live consultation. The Co-Writer feature provides a selection-aware Markdown workspace for knowledge base or web-grounded AI editing, while the Book module allows you to compile knowledge bases and notebooks into interactive living books. The Learning Space serves as a reusable hub for skills, personas, notebooks, and questions. DeepTutor features an inspectable, three-layer memory system that keeps personalization auditable, and versioned, multi-engine retrieval libraries for RAG (Retrieval-Augmented Generation). It offers four installation methods: the smoothest path via a full local web app and CLI without cloning; a Docker container from GitHub Container Registry for the full web app; a hot-reload frontend and backend setup for developers; and a lightweight install for servers, agent harnesses, and Claude Code or Codex setups. Each installation path lands at the same configured workspace, ensuring consistency. DeepTutor is ideal for students, educators, researchers, and AI enthusiasts who want a personalized, open-source tutoring system that adapts to their learning style. It enhances productivity by providing a centralized environment for learning, collaboration, and knowledge management. Technical details include support for multiple retrieval engines, versioned libraries, and a modular architecture that allows for easy extension and integration with external agents.

Use Cases

Key Features

open source learning companion persistent runtime multi engine retrieval inspectable memory system selection aware Markdown workspace interactive living books reusable learning hub customizable companions agent native integration unified workspace

Who is it for?

students, lifelong learners, educators, developers, AI researchers, knowledge workers, content creators

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