MaxKB

What is MaxKB?

MaxKB, short for Max Knowledge Brain, is an open-source platform from the Chinese company FIT2CLOUD for putting large language models to work on a company's own documents. You upload files or crawl web pages, and MaxKB splits the text, embeds it and answers questions with retrieval-augmented generation (RAG). From there you can step up to a drag-and-drop workflow editor and agents that call tools, Skills and MCP servers. It connects to mainstream hosted model providers as well as local models, and chat apps can be embedded in a website or linked to WeCom, DingTalk, Feishu, WeChat Official Accounts and Slack. Teams use it for customer service bots, internal knowledge bases, office assistants and AI features inside existing business systems. The Community Edition is free under GPL v3, the Professional Edition is a perpetual license at ￥4.8万元 per deployment, and the Enterprise Edition is quoted by sales.

Use cases

• Build a private document Q&A bot
• Run an AI customer service assistant
• Create an internal company knowledge base
• Design AI workflows with a visual editor
• Embed a chat assistant in a website
• Deploy local models with Ollama behind a knowledge base

Who it's for

• Enterprise IT teams
• AI application developers
• Customer support teams
• Government and public sector

Why use MaxKB

• Documents, models and chat logs stay on infrastructure you control, which suits teams with data residency rules.
• You can start with plain RAG question answering and move to workflows and agents without changing platforms.
• Model-neutral setup lets you swap between hosted providers and local models such as those run through Ollama.
• Prebuilt templates and one-command installation shorten the path from idea to a working assistant.
• The Community Edition no longer caps users, apps or knowledge bases since MaxKB V2 in July 2025.

MaxKB features

• Knowledge bases from uploaded files or crawled web sites
• Supports Markdown, DOCX, PDF, TXT, HTML, XLSX, XLS and CSV files
• Automatic document splitting and vectorization for RAG
• Workflow editor with chat, retrieval, branching and multimodal nodes
• Agents that call tools, Skills and MCP servers
• Long-term memory triggered by turns or time
• Connects to hosted and local LLMs, embedding, reranking and speech models
• Triggers on a schedule or by event
• 80+ preconfigured agent and knowledge base templates
• Embeds in third-party web systems without coding
• Role-based access, SSO and open API in paid editions

MaxKB integrations

• Slack
• Ollama
• Azure OpenAI
• Amazon Bedrock
• LDAP
• OIDC
• SAML2

How to get started with MaxKB

1. Install MaxKB on your own server using the installation package or deployment guide.
2. Connect a model provider or a local model for chat and embeddings.
3. Create a knowledge base by uploading documents or syncing a web site.
4. Build a simple agent or a workflow that retrieves from the knowledge base and calls tools.
5. Embed the assistant in a website or connect it to a chat app such as DingTalk, Feishu or Slack.

MaxKB limitations

• Self-hosted only, so you run the servers and databases yourself
• Community Edition omits RBAC, open API, SSO and third-party app connections
• Community Edition is GPL v3 licensed, which affects redistribution
• Professional maintenance renews at ￥9600 per year after the first year
• Pricing page and docs are in Chinese

MaxKB pricing

MaxKB is open source, so you can use and self-host it for free.

MaxKB plans

• 社区版

  Free

  open source, Community Edition

  • Unlimited knowledge bases and agents
  • Workflow and MCP tools
  • Single tenant
  • Open source community support

• 专业版

  ￥4.8万元 /套（永久授权）

  perpetual license, one year maintenance included

  • All Community features
  • 10+ advanced features
  • Full RBAC and open API
  • 5x8 basic support

• 企业版

  Custom

  contact sales

  • All Professional features
  • Multi-tenant architecture
  • Cluster deployment
  • 7x24 enhanced support

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

MaxKB alternatives

The main MaxKB alternatives listed on Debuly are Dify, AnythingLLM, Flowise, Langflow, ChatBotKit and Libraria AI. The table compares pricing and platforms; order is A–Z.

1. 

   AnythingLLM

   Open-source AI app for chatting with your documents and running agents, on desktop, in Docker or as a hosted team workspace.

   Chat assistantsAutomation and agentsDeveloper platforms
   Open sourceVisit AnythingLLM (official site)
2. 

   ChatBotKit

   Platform for building AI agents and chatbots from reusable datasets, skillsets and integrations, with multi-model support.

   Automation and agentsDeveloper platformsChat assistants
   Free trialVisit ChatBotKit (official site)
3. 

   Dify

   Platform for building LLM apps, agents and RAG workflows on Dify Cloud or your own infrastructure, with a free Sandbox tier.

   Developer platformsAutomation and agentsChat assistants
   FreemiumVisit Dify (official site)
4. 

   Flowise

   Open-source visual builder for AI agents, chatbots and RAG workflows, self-hosted or on Flowise Cloud.

   Developer platformsAutomation and agentsChat assistants
   Open sourceVisit Flowise (official site)
5. 

   Langflow

   Open-source low-code visual builder for AI agents, RAG apps and MCP servers, with Python customization and an API for every flow.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Langflow (official site)
6. 

   Libraria AI

   No-code builder for AI chatbots, search bars and FAQs trained on your own documents, with a React SDK and API.

   Automation and agentsChat assistantsDeveloper platforms
   FreemiumVisit Libraria AI (official site)

MaxKB FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from maxkb.cn · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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