MaxKB: Open-Source Platform for Enterprise-Grade AI Agents

MaxKB: Open-Source Platform for Enterprise-Grade AI Agents

Summary

MaxKB is a powerful, open-source platform designed for building enterprise-grade AI agents. It features integrated Retrieval-Augmented Generation (RAG) pipelines, robust workflow orchestration, and advanced MCP tool-use capabilities. This platform is ideal for intelligent customer service, corporate knowledge bases, and academic applications.

Repository Info

Updated on October 12, 2025
View on GitHub

Tags

agentagentic-aichatbotknowledgebasellmragpythonenterprise-ai

Click on any tag to explore related repositories

Introduction

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

Key features include:

  • RAG Pipeline: Supports direct uploading of documents or automatic crawling of online documents, with features for automatic text splitting and vectorization. This effectively reduces hallucinations in large language 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 language models, including private models (such as DeepSeek, Llama, Qwen) and public models (like OpenAI, Claude, Gemini).
  • Multi Modal: Provides native support for input and output of text, image, audio, and video.

Installation

Getting started with MaxKB is straightforward using Docker. Execute the following script to launch a MaxKB container:

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

After running the command, you can access the MaxKB web interface at http://your_server_ip:8080 using the default admin credentials:

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

Examples

MaxKB excels in practical applications such as enhancing intelligent customer service, managing comprehensive corporate internal knowledge bases, and supporting academic research and educational initiatives. Its flexible architecture allows for the creation of custom agents tailored to specific organizational needs, demonstrating its versatility across various domains. The project's GitHub repository also features screenshots showcasing its intuitive user interface and diverse functionalities.

Why Use MaxKB?

Choose MaxKB for its comprehensive suite of features designed for enterprise AI. Its RAG pipeline minimizes model hallucinations, ensuring accurate and reliable responses. The powerful agentic workflow engine allows for complex AI process orchestration, adapting to intricate business requirements. With seamless integration capabilities, MaxKB can quickly add intelligent Q&A to existing systems without extensive coding. Furthermore, its model-agnostic approach provides flexibility to work with a wide range of LLMs, both public and private, and its multi-modal support broadens its application possibilities.

Links