deeptutor vs MaxKB
Two of the top projects in RAG, knowledge and search, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
deeptutor
Self-hosted AI tutor with knowledge bases, guided learning, books and quizzes
MaxKB
Enterprise knowledge-base agent platform with RAG, workflows and MCP tools
Verdict
deeptutor ranks higher, 82 to 75. Of the 5 score parts we measure for both, deeptutor leads on 2, MaxKB on 2 and 1 is even.
- Adoptiondeeptutor leads by 26 points, 90 to 64: a wide gap.
- FreshnessEven at 100.
- MaintenanceMaxKB leads by 1 point, 96 to 95: close to even.
- Easy to rundeeptutor leads by 17 points, 67 to 50: a wide gap.
- Agent-readyMaxKB leads by 40 points, 70 to 30: a wide gap.
Pick deeptutor if you are
Students and educators self-hosting a document-grounded AI tutor
- Several retrieval engines selectable per knowledge base: LightRAG, PageIndex, GraphRAG, LlamaIndex
- Covers study workflows: guided learning, mastery gates, quizzes, question bank, daily practice
Pick MaxKB if you are
Companies building internal Q&A bots and customer service agents
- Single docker run with all data under one mounted volume
- Workflow engine with function library and MCP tool calling
| What we compare | deeptutor | MaxKB |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 90, widely used | 64, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 95, healthy | 96, healthy |
| Easy to run | 67, easy | 50, easy |
| Agent-ready | 30, minimal | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 42k | 23k |
| License | Apache-2.0 (permissive) | GPL-3.0 (copyleft) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Python | Python |
| Docker | Yes | Yes |
| GPU | Not stated | Not needed |
| arm64 or Apple Silicon | Mentioned | Mentioned |
deeptutor
DeepTutor is a Python backend with a Next.js 16 web UI for studying from your own documents. It combines chat over knowledge bases (LightRAG, PageIndex, GraphRAG, LlamaIndex, FAISS) with guided learning, generated books, quizzes, question banks and deep research. It also offers multi-user accounts, IM-connected Partners, MCP services and a CLI.
Who it is for: Students and educators self-hosting a document-grounded AI tutor
Strengths
- Several retrieval engines selectable per knowledge base: LightRAG, PageIndex, GraphRAG, LlamaIndex
- Covers study workflows: guided learning, mastery gates, quizzes, question bank, daily practice
- Multi-user deployment with per-user isolation, admin grants and learner/guardian accounts
- Wide provider and parser coverage, including Codex OAuth, MinerU, Tika and PyMuPDF4LLM
Weaknesses
- Fast release cadence with breaking refactors (v1.6.3) makes upgrades risky
- Large surface area: Partners, MCP, CLI apps and plugins add configuration overhead
- RAM, GPU and port requirements are not stated in the visible README
- Aimed at learning and study; less suited to general chat or enterprise search
- Docker + Compose
- Needs Python 3.11+, Node.js (Next.js 16), Docker (optional)
- Models: OpenAI-compatible providers, Anthropic, Gemini, OpenAI Codex OAuth, Lemonade (local)
MaxKB
MaxKB runs as one Docker container (port 8080, state in one volume) with a RAG pipeline that uploads or crawls documents, a workflow engine with function library and MCP tool use, and zero-code embedding into other systems. It works with private models (DeepSeek, Llama, Qwen) and public APIs (OpenAI, Claude, Gemini, MiniMax) and handles text, image, audio and video. Built on Django, LangChain and PostgreSQL.
Who it is for: companies building internal Q&A bots and customer service agents
Strengths
- Single docker run with all data under one mounted volume
- Workflow engine with function library and MCP tool calling
- Crawls online documents into the knowledge base automatically
- Multimodal input and output: text, image, audio, video
Weaknesses
- GPL-3.0 limits bundling into proprietary products
- Ships with default admin password MaxKB@123..
- README gives no hardware guidance or provider configuration detail
- Detailed docs are on maxkb.cn, partly in Chinese
- no GPU
- Models: OpenAI, Claude, Gemini, MiniMax, DeepSeek, Llama, Qwen as private models
- port 8080
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