deeptutor vs Morphic
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
Morphic
AI answer engine with cited search results and generative UI components
Verdict
deeptutor ranks higher, 81 to 74. Of the 5 score parts we measure for both, deeptutor leads on 1, Morphic on 3 and 1 is even.
- Adoptiondeeptutor leads by 69 points, 85 to 16: a wide gap.
- FreshnessEven at 100.
- MaintenanceMorphic leads by 1 point, 97 to 96: close to even.
- Easy to runMorphic leads by 16 points, 83 to 67: a wide gap.
- Agent-readyMorphic 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 Morphic if you are
Self-hosters wanting a private, cited AI search app with their own models
- Docker Compose bundles SearXNG, so no search API key is required
- Many model providers, including local Ollama and OpenAI-compatible endpoints
| What we compare | deeptutor | Morphic |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 85, widely used | 16, niche |
| Freshness | 100, active | 100, active |
| Maintenance | 96, healthy | 97, healthy |
| Easy to run | 67, easy | 83, very easy |
| Agent-ready | 30, minimal | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 41.7k | 9.2k |
| License | Apache-2.0 (permissive) | Apache-2.0 (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Python | TypeScript |
| 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)
Morphic
Morphic is a Next.js (TypeScript) AI search app that answers queries with cited sources and renders results as inline components streamed from a JSON spec. It supports OpenAI, Anthropic, Google, Ollama, Vercel AI Gateway and OpenAI-compatible models, with Tavily, SearXNG, Brave or Exa for search. Chat history lives in PostgreSQL, and Docker Compose bundles Postgres, Redis and SearXNG.
Who it is for: Self-hosters wanting a private, cited AI search app with their own models
Strengths
- Docker Compose bundles SearXNG, so no search API key is required
- Many model providers, including local Ollama and OpenAI-compatible endpoints
- Four search backends: Tavily, SearXNG, Brave, Exa
- Built-in accounts via Better Auth or Supabase Auth, plus guest mode and shareable result URLs
Weaknesses
- Compose stack needs PostgreSQL, Redis and SearXNG alongside the app
- Needs at least one model provider API key or a local Ollama setup
- Local development requires Bun; RAM and GPU requirements are not stated
- Chat history, auth and file upload need extra configuration beyond the quick start
- no GPU
- Docker + Compose
- Needs PostgreSQL, Redis, SearXNG, Tavily, Brave, Exa, Supabase
- Models: OpenAI, Anthropic, Google, Ollama, Vercel AI Gateway
- port 3000
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