1panel-dev/maxkb

Analysis updated 2026-06-21

★ 20,884PythonAudience · developerComplexity · 3/5LicenseSetup · moderate

Mindmap

mindmap
  root((maxkb))
    What it does
      Document Q and A
      Workflow engine
      Multi-modal inputs
      Tool use via MCP
    Tech Stack
      Python Django
      Vue.js frontend
      LangChain AI
      PostgreSQL pgvector
    Use Cases
      Customer service bot
      Internal knowledge base
      Research assistant
    Audience
      Developers
      Enterprises
      No-code embedders

mindmap root((maxkb)) What it does Document Q and A Workflow engine Multi-modal inputs Tool use via MCP Tech Stack Python Django Vue.js frontend LangChain AI PostgreSQL pgvector Use Cases Customer service bot Internal knowledge base Research assistant Audience Developers Enterprises No-code embedders

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What do people build with it?

USE CASE 1

Build an intelligent customer service bot that answers questions from your company's product documentation.

USE CASE 2

Create an internal knowledge base where employees can ask questions about company policies or manuals.

USE CASE 3

Set up a research or educational assistant that retrieves answers from uploaded papers or reports.

USE CASE 4

Embed an AI chatbot into an existing business website without writing custom integration code.

What is it built with?

PythonDjangoVue.jsLangChainPostgreSQLpgvectorDocker

How does it compare?

	1panel-dev/maxkb	funaudiollm/cosyvoice	marimo-team/marimo
Stars	20,884	20,898	20,818
Language	Python	Python	Python
Setup difficulty	moderate	moderate	moderate
Complexity	3/5	3/5	3/5
Audience	developer	developer	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires Docker and a PostgreSQL instance with the pgvector extension enabled.

Use freely, but any modified version you distribute must also be open-source under the same GPLv3 terms.

In plain English

MaxKB (short for Max Knowledge Brain) is an open-source platform for building enterprise-grade AI agents. It is primarily used to create intelligent customer service bots, internal company knowledge bases, and research or educational assistants. The project is built with Python and Django on the backend, Vue.js on the frontend, LangChain as its AI framework, and PostgreSQL with the pgvector extension for storing and searching document embeddings. The platform's core capability is a Retrieval-Augmented Generation (RAG) pipeline, which lets you upload documents or automatically crawl online content, then have an AI answer questions based on that knowledge. This approach reduces the likelihood of the AI making things up, since it answers from your actual documents. MaxKB also includes a visual workflow engine for orchestrating multi-step AI processes, support for tool use via the MCP protocol, and native handling of text, images, audio, and video inputs and outputs. It works with a wide range of AI models including private self-hosted models like DeepSeek, Llama, and Qwen, as well as cloud models like OpenAI, Claude, and Gemini. Existing business systems can embed MaxKB without writing code. It can be started in minutes using a single Docker command, licensed under GPLv3.

Copy-paste prompts

Prompt 1

I've set up MaxKB with my product documentation. Walk me through uploading PDF files and configuring the RAG pipeline so the AI answers accurately from those docs.

Prompt 2

Help me design a MaxKB workflow using the visual workflow engine to handle multi-step customer support queries, including escalation when the AI cannot answer.

Prompt 3

I want to connect MaxKB to a locally hosted DeepSeek model instead of OpenAI. Show me the configuration steps.

Prompt 4

Write a Docker Compose file that sets up MaxKB with PostgreSQL and pgvector for a small-team production deployment.

Prompt 5

How do I embed a MaxKB chatbot into my existing business website using the no-code embed feature?

Frequently asked questions

What is maxkb?

MaxKB is an open-source platform for building enterprise AI agents and knowledge bases, letting you upload documents so an AI can answer questions from them. It supports many AI models and deploys in minutes with a single Docker command.

What language is maxkb written in?

Mainly Python. The stack also includes Python, Django, Vue.js.

What license does maxkb use?

Use freely, but any modified version you distribute must also be open-source under the same GPLv3 terms.

How hard is maxkb to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is maxkb for?

Mainly developer.

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