MaxKB
About
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Details
- Author
- 1Panel-dev
- GitHub stars
- 21,956
- Downloads
- 2,381
- Categories
- Other, Knowledge Base, AI
Jump to
- RAG pipeline with document upload and automatic crawling.
- Agentic workflow with a powerful engine, function library, and MCP tools.
- Zero-coding integration into third-party business systems.
- Supports private models (DeepSeek, Llama, Qwen) and public models (OpenAI, Claude, Gemini, MiniMax).
- Native support for text, image, audio, and video input/output.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MaxKBCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Run a Docker container: docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb. Access the web interface at http://your_server_ip:8080 and log in with username admin and password MaxKB@123...
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"maxkb": {
"MaxKB": {
"command": "docker",
"args": [
"run",
"-d",
"--name=maxkb",
"--restart=always",
"-p",
"8080:8080",
"-v",
"~/.maxkb:/opt/maxkb",
"1panel/maxkb"
]
}
}
}
}McpServers
{
"MaxKB": {
"command": "docker",
"args": [
"run",
"-d",
"--name=maxkb",
"--restart=always",
"-p",
"8080:8080",
"-v",
"~/.maxkb:/opt/maxkb",
"1panel/maxkb"
]
}
}<p align="center"></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"></a></p>
<p align="center">
<a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text">
<a href="https://github.com/1Panel-dev/maxkb/releases/latest">
<a href="https://github.com/1Panel-dev/maxkb">
<a href="https://hub.docker.com/r/1panel/maxkb">
[<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:
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
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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>
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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