#66th of 15 in RAG and knowledge
MaxKB
Enterprise knowledge-base agent platform with RAG, workflows and MCP tools
- Stars
- 22.9k
- License
- GPL-3.0
- Last commit
- Oct 2026
- Last release
- Sep 2026
Overview
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
What it needs
- no GPU
- Models: OpenAI, Claude, Gemini, MiniMax, DeepSeek, Llama, Qwen as private models
- port 8080
Also in RAG and knowledge
See all 15| Rank | Project | Score |
|---|---|---|
| 1 | LightRAGGraph-plus-vector RAG server with web UI and Ollama-compatible API | 76 out of 100 |
| 2 | Open NotebookSelf-hosted NotebookLM alternative with podcasts and 20+ model providers | 75 out of 100 |
| 3 | RAGFlowRAG engine with document parsing, agentic retrieval and citations | 72 out of 100 |
| #4 | WeKnoraEnterprise knowledge base combining RAG Q&A, agents and generated wikis | 68 out of 100 |
| #5 | SurfSenseOffline NotebookLM alternative that turns documents into decks, reports and podcasts | 68 out of 100 |