MaxKB

[中文(简体)] | [English]

MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.

• RAG Pipeline: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization. This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
• Agentic Workflow: Equipped with a powerful workflow engine, function library and MCP tool-use, enabling the orchestration of AI processes to meet the needs of complex business scenarios.
• Seamless Integration: Facilitates zero-coding rapid integration into third-party business systems, quickly equipping existing systems with intelligent Q&A capabilities to enhance user satisfaction.
• Model-Agnostic: Supports various large models, including private models (such as DeepSeek, Llama, Qwen, etc.) and public models (like OpenAI, Claude, Gemini, etc.).
• Multi Modal: Native support for input and output text, image, audio and video.

Quick start

Execute the script below to start a MaxKB container using Docker:

docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb

Access MaxKB web interface at http://your_server_ip:8080 with default admin credentials:

• username: admin
• password: MaxKB@123..

中国用户如遇到 Docker 镜像 Pull 失败问题，请参照该 离线安装文档 进行安装。

Screenshots

Technical stack

• Frontend：Vue.js
• Backend：Python / Django
• LLM Framework：LangChain
• Database：PostgreSQL + pgvector

Star History

License

Licensed under The GNU General Public License version 3 (GPLv3) (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

https://www.gnu.org/licenses/gpl-3.0.html

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