Revornix

Revornix

Built-in MCP client–powered document/news management tool with daily auto summaries, document interaction, user-defined notifications (email, apns, etc.), and customizable model support.内置 MCP 客户端的文档/资讯管理工具,支持每日自动总结、文档交互、自定义通知(邮箱、APNS等)以及模型自定义。

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Revornix is an information management tool designed for the AI era. It allows users to conveniently integrate all visible information and generates comprehensive reports at specific times. The tool offers cross-platform availability, all-in-one content aggregation, document transformation & vectorized storage, native multi-tenancy, localization & open-source features, smart assistant & built-in MCP, seamless LLM integration, and multilingual & responsive experience for users.

README:

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GitHub last commit (branch) GitHub Release Date Ask DeepWiki

English | 中文文档 | 日本語ドキュメント

Introduction

🚀 RoadMap: RoadMap

🖥️ Official Website: https://revornix.com

❤️ Join our community: Discord | WeChat | QQ

Revornix is an information management tool for the AI era. It helps you conveniently integrate all visible information and provides you with a comprehensive report at a specific time.

Features

  • Cross-platform availability: Currently supports web; iOS app and WeChat Mini Program support coming soon.
  • All-in-one content aggregation: Centralized content collection, including news, blogs, forums, and more.
  • Document Transformation & Vectorized Storage: Powered by multimodal large models, files are converted to Markdown and embedded before being stored in the industry-leading Milvus.
  • Native Multi-Tenancy: Designed as a multi-tenant system, it supports concurrent usage by multiple users, each with their own independent document repository.
  • Localization & Open Source: Open-source code with all data stored locally—no concerns about data leakage.
  • Smart Assistant & Built-in MCP: An AI assistant powered by built-in MCP that can interact with your documents and tools, supporting multi-model switching.
  • Seamless LLM integration: Built-in model integration support—freely configure and choose the LLM you want (OpenAI-compatible required).
  • Multilingual & Responsive: Whether you're a Chinese or English user, on mobile or desktop, you'll enjoy a great experience.

Quick Start

Docker Method (Recommended)

Clone the Repository Locally

git clone [email protected]:Qingyon-AI/Revornix.git
cd Revornix

Environment Variables Configuration

cp .env.example .env

Go to the corresponding environment variable files and configure them. For details, refer to Environment Variables Configuration.

[!TIP] In most cases, you only need to configure the OAUTH_SECRET_KEY parameter for the user authentication mechanism, and leave the other parameters as default. Note that the OAUTH_SECRET_KEY must be consistent across different services; otherwise, the user authentication systems will not be interoperable.

Pull Necessary Repositories and Start with Docker

docker compose up -d

Once all services are started, you can visit http://localhost to view the front-end page. Note that due to the back-end services taking longer to start, the front-end may need to wait for some time (usually around 10-15 minutes) before it can make successful requests. You can check the core back-end service status with docker compose logs api.

Manual Deployment Method

For detail, please refer to official documentation manual deployment method

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