---
title: "MaxKB"
type: "tool"
slug: "1panel-dev-maxkb"
canonical_url: "https://www.graphcanon.com/tools/1panel-dev-maxkb"
github_url: "https://github.com/1Panel-dev/MaxKB"
homepage_url: "https://maxkb.cn"
stars: 21963
forks: 2974
primary_language: "Python"
license: "GPL-3.0"
categories: ["ai-agents", "llm-frameworks"]
tags: ["deepseek-r1", "maxkb", "knowledgebase", "llm", "agentic-ai", "langchain", "chatbot", "agent"]
updated_at: "2026-07-07T18:26:03.534033+00:00"
---

# MaxKB

> Open-source platform for building enterprise-grade agents

MaxKB is a versatile open-source platform designed to build enterprise-level AI agents. It supports Retrieval-Augmented Generation (RAG) pipelines, robust workflows with advanced MCP tool usage, and seamless integration into existing systems.

## Facts

- Repository: https://github.com/1Panel-dev/MaxKB
- Homepage: https://maxkb.cn
- Stars: 21,963 · Forks: 2,974 · Open issues: 50 · Watchers: 111
- Primary language: Python
- License: GPL-3.0
- Last pushed: 2026-07-07T09:34:36+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)
- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

deepseek-r1, maxkb, knowledgebase, llm, agentic-ai, langchain, chatbot, agent

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## README (excerpt)

```text
<p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
<h3 align="center">Open-source platform for building enterprise-grade agents</h3>
<h3 align="center">强大易用的企业级智能体平台</h3>
<p align="center"><a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a></p>
<p align="center">
  <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
  <a href="https://github.com/1Panel-dev/maxkb/releases/latest"><img src="https://img.shields.io/github/v/release/1Panel-dev/maxkb" alt="Latest release"></a>
  <a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?color=%231890FF&style=flat-square" alt="Stars"></a>    
  <a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a><br/>
 [<a href="/README_CN.md">中文(简体)</a>] | [<a href="/README.md">English</a>] 
</p>
<hr/>

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, MiniMax, 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:

```bash
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](https://maxkb.cn/docs/v2/installation/offline_installtion/) 进行安装。

## Screenshots

<table style="border-collapse: collapse; border: 1px solid black;">
  <tr>
    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/eb285512-a66a-4752-8941-c65ed1592238" alt="MaxKB Demo1"   /></td>
    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/f732f1f5-472c-4fd2-93c1-a277eda83d04" alt="MaxKB Demo2"   /></td>
  </tr>
  <tr>
    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/c927474a-9a23-4830-822f-5db26025c9b2" alt="MaxKB Demo3"   /></td>
    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/e6268996-a46d-4e58-9f30-31139df78ad2" alt="MaxKB Demo4"   /></td>
  </tr>
</table>

## Technical stack

- Frontend：[Vue.js](https://vuejs.org/)
- Backend：[Python / Django](https://www.djangoproject.com/)
- LLM Framework：[LangChain](https:
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/1panel-dev-maxkb`](/api/graphcanon/tools/1panel-dev-maxkb)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_