# 1Panel-dev/MaxKB

🔥 MaxKB is an open-source platform for building enterprise-grade agents.  强大易用的开源企业级智能体平台。

Repository: https://github.com/1Panel-dev/MaxKB
Canonical: https://ross.abutalabs.com/products/maxkb
Homepage: https://maxkb.cn
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: llm, ollama, maxkb, knowledgebase, chatbot, langchain, pgvector, rag, deepseek-r1, llama3, mcp-server, qwen3, agent, agentic-ai
Last push: 2026-08-26T14:06:58+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 97, longevity 77
- inputs: {"age_days": 1085, "days_push": 7, "days_rel": 22, "gap_med": 7, "n_releases_24m": 54}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 22612, forks 3120 (observed 2026-08-28T04:11:32.785880+00:00)

## What it is
MaxKB is an open-source, self-hosted platform for building enterprise-grade AI agents with RAG pipelines, workflow orchestration, and MCP tool use. It lets organizations ingest documents into vector-backed knowledge bases and deploy model-agnostic Q&A assistants embeddable into websites and business systems with zero coding.

## Use cases
- build a customer service chatbot from company documents
- create an internal enterprise knowledge base with AI Q&A
- deploy a private RAG assistant with local LLMs like DeepSeek or Qwen
- embed an AI assistant into a website or DingTalk/WeCom/Feishu without coding
- orchestrate agentic workflows with MCP tool calling
- build an AI assistant for HR policy or contract review questions

## When to choose
- you need a self-hosted, out-of-the-box RAG chatbot platform with a web UI
- you want zero-code embedding of AI Q&A into existing business systems
- you need model-agnostic support for both local and commercial LLMs
- you want a gradual path from RAG Q&A to workflows to full agents

## When to avoid
- you need a lightweight library to embed RAG in your own codebase rather than a full platform
- you require permissive licensing for redistribution (GPL-3.0)
- you need highly custom retrieval pipelines that a low-code platform cannot express
- you only want a simple chatbot UI without knowledge base features

## Facets
- artifact type: application
- maturity: active
- function: rag, agent-framework, chatbot, chat-interface, workflow-automation, mcp, llm-inference, search-engine, web-scraping
- domain: artificial-intelligence, chatbots, large-language-models, self-hosted, erp
- platform: self-hosted, python, cross-platform
- tags: knowledge-base, enterprise-agents, pgvector, ollama, customer-service, no-code-integration, document-qa, ai-agents, retrieval-augmented-generation, docker, web-server, linux

## Member repositories
- 1Panel-dev/MaxKB (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:32.785880+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:56:57.430138+00:00, confidence not recorded.
  - readme: https://github.com/1Panel-dev/MaxKB (fetched 2026-08-28T04:11:32.785880+00:00, sha 15e195c746b9)
  - homepage: https://maxkb.cn (fetched 2026-08-29T07:55:20.129994+00:00, sha 142bad8965de)
  - site_page: https://maxkb.cn/docs (fetched 2026-08-29T07:55:20.139619+00:00, sha 3473d0e744c1)
- Data as of 2026-08-30T08:39:29.467469+00:00.