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MaxKB
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MaxKB

Active·★ 22.9k·GPL-3.0·Updated 2026-10-08
★ Most Popular★ Trending★ Essential

MaxKB (Max Knowledge Brain), from the team behind 1Panel, is an open-source platform for building enterprise-grade agents with knowledge bases at their core. It combines a RAG pipeline, where you upload documents or crawl online docs and the platform splits and vectorises them automatically, with an agentic workflow engine, a function library and MCP tool use for more complex business processes.

It suits organisations that want internal Q&A assistants, customer-service bots or knowledge-driven agents without building the stack themselves, especially teams in China that need private deployment with domestic models. It is model-agnostic, supporting private models such as DeepSeek, Llama and Qwen as well as public ones such as OpenAI, Claude, Gemini and MiniMax; it handles text, image, audio and video input and output; and assistants can be embedded into existing business systems with little or no code.

Getting started: run the Docker command `docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb`, open http://your_server_ip:8080 and sign in with the default admin account. Change the default password immediately. An offline installation guide is available for environments where pulling Docker images fails.

#RAG#Agent#LLM#Knowledge Base#AI Platform
$ Install
$ docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb
↗ Visit site★ GitHub
01

Features

01RAG pipeline with document upload, web crawling, and automatic chunking
02Visual workflow builder for multi-step agent logic
03MCP tool-use capabilities for connecting to external services
04Supports multiple LLMs and embedding models
05Docker deployment with 1Panel integration for easy self-hosting
02

Why choose it

+Complete knowledge-base platform: document ingestion, splitting, vectorisation, workflows and MCP tools in one product.
+Strong support for private deployment and domestic Chinese models alongside global providers.
+Easy embedding into existing systems for Q&A and customer service.
+Single Docker command to start, with Chinese and English documentation.
03

Trade-offs

!Licensed under GPL-3.0, which matters if you plan to modify and distribute it.
!Ships with a well-known default admin password; change it before exposing the service to a network.
!As an all-in-one platform it offers less low-level control over retrieval than code-first RAG libraries.
04

Compatibility

Docker
Docker
Verified via docs
Linux
Supported
Verified via docs
05

Quick start

1
$ docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb
06

Use cases

↳Building intelligent customer service bots with enterprise knowledge bases
↳Creating internal Q&A systems over company documents and wikis
↳Deploying research assistants with RAG over academic or technical document collections
07

How it compares

≈vs RAGFlow: RAGFlow goes deeper on document parsing and citation quality; MaxKB emphasises easy deployment and embedding assistants into business systems.
≈vs Dify: both are visual LLM app platforms with knowledge bases and workflows; MaxKB is more focused on knowledge-base Q&A.
≈vs PipesHub: PipesHub builds a permission-aware context layer from many company tools; MaxKB centres on documents you upload or crawl.
08

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 22.9k
Last commit1d ago
StatusActive
LicenseGPL-3.0
CategoryRAG / Knowledge Base
Trend (30d)
+0.9k↑ 4.9%
Links
Documentation↗Discussion↗Issues↗Releases↗

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