MaxKB
1Panel-dev/MaxKB · Updated
🔥 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。
1Panel-dev/MaxKB is a Python repository in the AI Agents category with 23,071 stars and 3,205 forks on GitHub, released under the GPL-3.0 license, last updated today.
How to install MaxKB in your AI client
Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.
How to install MaxKB in Claude CodeAnthropic's agentic CLI
Clone & open
bashgit clone https://github.com/1Panel-dev/MaxKB.git cd MaxKB claudeLet Claude read it
Ask “/init” to generate a CLAUDE.md, then have Claude explain, run, or extend the codebase. It reads files on demand.
How to install MaxKB in Claude DesktopDesktop app (MCP config)
Clone the repository
bashgit clone https://github.com/1Panel-dev/MaxKB.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
How to install MaxKB in CursorAI-first code editor
Clone & open in Cursor
bashgit clone https://github.com/1Panel-dev/MaxKB.gitIndex & chat
Open the folder — Cursor indexes it automatically. Use @Codebase in chat to ask about it or scaffold from it.
How to install MaxKB in Codex CLIOpenAI coding agent
Clone
bashgit clone https://github.com/1Panel-dev/MaxKB.gitPoint Codex at it
Run codex in the repo root; add setup notes to AGENTS.md so the agent knows how to build & test.
How to install MaxKB in WindsurfCodeium's agentic IDE
Clone & open
bashgit clone https://github.com/1Panel-dev/MaxKB.gitUse Cascade
Windsurf indexes the workspace; ask Cascade to explain or reuse modules from the repo.
How to install MaxKB in ClineVS Code autonomous agent
Clone the repository
bashgit clone https://github.com/1Panel-dev/MaxKB.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
How to install MaxKB in VS CodeCopilot / MCP support
Clone the repository
bashgit clone https://github.com/1Panel-dev/MaxKB.gitOpen in your AI editor
Open the folder in your assistant and ask it to index the codebase, then reference files in chat.
Documentation
Full READMEOpen-source platform for building enterprise-grade agents 强大易用的企业级智能体平台
[中文(简体)] | [English]
<hr/>
MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
- RAG Pipeline: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization. This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
- Agentic Workflow: Equipped with a powerful workflow engine, function library and MCP tool-use, enabling the orchestration of AI processes to meet the needs of complex business scenarios.
- Seamless Integration: Facilitates zero-coding rapid integration into third-party business systems, quickly equipping existing systems with intelligent Q&A capabilities to enhance user satisfaction.
- Model-Agnostic: Supports various large models, including private models (such as DeepSeek, Llama, Qwen, etc.) and public models (like OpenAI, Claude, Gemini, etc.).
- Multi Modal: Native support for input and output text, image, audio and video.
Quick start
Execute the script below to start a MaxKB container using Docker:
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages 1panel/maxkbAccess MaxKB web interface at http://your_server_ip:8080 with default admin credentials:
- username: admin
- password: MaxKB@123..
中国用户如遇到 Docker 镜像 Pull 失败问题,请参照该 离线安装文档 进行安装。
Screenshots
Technical stack
- Frontend:Vue.js
- Backend:Python / Django
- LLM Framework:LangChain
- Database:PostgreSQL + pgvector
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