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MaxKB

An open-source platform for building enterprise-grade AI agents that combines Retrieval-Augmented Generation (RAG) pipelines, a workflow engine, and MCP tool-use, and is model-agnostic across private and public LLMs.

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Description

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

Its RAG pipeline supports direct document uploads or automatic crawling of online documents, with automatic text splitting and vectorization, which helps reduce hallucinations and improve the quality of smart Q&A. An agentic workflow engine, function library, and MCP tool-use let teams orchestrate AI processes for complex business scenarios. Seamless integration enables zero-coding rapid integration into third-party business systems, quickly equipping existing systems with intelligent Q&A.

MaxKB is model-agnostic, supporting private models such as DeepSeek, Llama, and Qwen as well as public models like OpenAI, Claude, and Gemini, and it offers native multimodal support for text, image, audio, and video input and output. Community support is available through GitHub Discussions and Discord.

MaxKB's Core Features

  • RAG pipeline with document upload and automatic online-document crawling

  • Automatic text splitting and vectorization to reduce hallucinations

  • Agentic workflow engine with function library and MCP tool-use

  • Zero-coding integration into third-party business systems

  • Model-agnostic support for private and public LLMs

  • Native multimodal support for text, image, audio, and video

  • Open-source platform for enterprise agents

How to use MaxKB?

  1. Add knowledge: Upload documents or let MaxKB crawl online documents into the RAG pipeline.

  2. Build an agent: Configure a knowledge base and choose your preferred LLM.

  3. Design workflows: Use the workflow engine, function library, and MCP tools to orchestrate the agent.

  4. Integrate: Embed the intelligent Q&A into your existing business systems with no coding.

MaxKB's Use Cases

  • Intelligent customer service
  • Internal knowledge base
  • Academic research
  • Education
  • Business automation

FAQ from MaxKB

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