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Revornix v0.7.0 has been officially released. Welcome to experience and share your feedback.

Revornix, an AI agent–centric all-in-one media stream management platform.

Powered by AI — connecting data, analysis, and sharing. Build structured knowledge from massive information so your notes never collect dust again.

Turn information overload into actionable knowledge that stays usable across your daily workflow.

Product entry and login: https://app.revornix.com

  • Multi-Channel Collection

    Collect information easily via web pages or browser extensions

  • AI-Driven Analysis

    Automatically categorize, summarize, and generate daily highlights

  • Knowledge Sharing

    Share knowledge sections and stay synced with the latest documents

Revornix product interface preview

A brand-new dashboard experience that aggregates more panels.

WHY REVORNIX

Value First, Features Second

Revornix is built for information-heavy work. It turns scattered materials into searchable, traceable, and collaborative knowledge assets.

Who Revornix Is For

Researchers and Analysts

Convert papers, reports, and web sources into structured knowledge and reduce repeated lookup work.

Content Creators

Manage ideas, references, and source links in one place to build a reusable topic pipeline.

Product and Ops Teams

Capture team docs and discussion context to reduce knowledge loss and collaboration overhead.

Get Started in 3 Steps

  1. 1

    Sign in to the product

    Go to app.revornix.com and enter Revornix.

  2. 2

    Connect your sources

    Import websites, files, or APIs to establish your knowledge input pipeline.

  3. 3

    Run the AI workflow

    Automatically classify, summarize, notify, and share to keep insights moving.

If you need full local control, jump to the Quick Start docs for self-hosted deployment.

Data Control

Supports local deployment so core data can stay on your own infrastructure.

Open and Extensible

Open-source code and a multi-engine architecture make custom expansion straightforward.

AI-Native Workflow

From collection to analysis to notification, build a continuous knowledge loop.

Product Features

Focusing on the full chain of collection, analysis, summarization, and sharing, Revornix provides reliable automation at every key stage to help you build a future-ready knowledge operation system.

Flexible Input Sources

Currently supports websites, PDFs, Word, Excel, PowerPoint, manual text input, APIs, PIP packages, Node.js packages, and more to come.

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Advanced Text Conversion Technology

Built on advanced markdown conversion engines such as MinerU, achieving industry-leading accuracy and allowing for custom conversion engines.

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Vector Storage & Knowledge Graph

Powered by personalized GraphRAG and embedding technologies, Revornix converts your inputs into vectorized data and generates a knowledge graph for efficient retrieval and improved model context accuracy.

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Integrated Sharing Mechanism

Revornix includes a built-in sharing system — share your knowledge base or access others’ public ones for easy collaboration.

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Localization & Open Source

The source code is open, and when deployed locally, all data stays on your own servers — ensuring complete data privacy.

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AI Assistant & Built-in MCP (Model Context Protocol)

Revornix includes both MCP (Model Context Protocol) client and server capabilities, so it can expose MCP services and call local or third-party MCP tools through the AI assistant.

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Seamless Model Integration

Model-agnostic — freely choose which models to use. Each feature can be powered by an independent model.

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Multilingual & Responsive

Enjoy a great user experience whether in Chinese or English, on desktop or mobile devices.

Ecosystem Matrix

A Multi-Terminal Collaborative Product Ecosystem

Revornix spans knowledge ingestion, automated processing, and multi-platform delivery. The component ecosystem continues to expand, building a flexible and robust knowledge network for you.

Published

NPM Package

JavaScript package for custom data collection in JS ecosystems

Web SDKStable Operation
Published

PIP Package

Python package for developers in the Python ecosystem

Python SDKStable Operation
Published

Chrome Extension

Efficient information collection within browser environments

Browser ExtensionStable Operation
In Development

iOS App

Stay in control of your information flow anytime, anywhere

Mobile NativeExpected 2026 03
In Development

WeChat Mini Program

Integrate with the WeChat ecosystem for fast sharing and distribution

Mini ProgramExpected 2026 05