Supernote Private Cloud & Knowledge Hub

A lightweight, self-hosted private cloud server and optional AI intelligence layer for your Ratta Supernote.

This toolkit is a self-hosted, SQLite-based implementation of the Supernote Private Cloud protocol. It provides a simple and resource-efficient sync server with a minimal resource footprint (typically ~200MB idle memory, and 300–400MB to process large notebooks). It implements 100% of the community Supernote OpenAPI Specification, and can optionally be enhanced with an AI-driven synthesis engine—transforming your handwritten notes into structured, searchable knowledge using Google Gemini.

Why Supernote Private Cloud & Knowledge Hub?

This project is designed to be fully compatible with the official Supernote Private Cloud protocol, serving as a lightweight alternative that operates on a single SQLite database and runs comfortably on low-power NAS setups and home lab servers:

• ⚡ Lightweight Sync: Runs on a simple, efficient Python/Asyncio stack with SQLite. Consumes ~200MB of idle memory (recommending 300–400MB for notebook processing).
• 📋 OpenAPI Spec Compliant: Implements 100% of the community Supernote OpenAPI specification.
• 🛡️ Private & Secure: You own your database and files. Runs locally on your NAS or local server with no external data leakage.
• 🖥️ Sleek Web UI: Browse and manage your synchronized notes from any web browser on your network.
• 📜 Optional AI Synthesis: If configured with a Gemini API key, it automatically transcribes handwriting and generates summaries (Daily, Weekly, Monthly).
• 🔍 Optional Semantic Search: Vectorizes content for concept-based search across all notebooks.
• 🤖 Agent Ready (MCP): Securely connect your notes to AI agents (Claude, Gemini, ChatGPT) via the built-in Model Context Protocol server.

Synthesis & AI in Action

Beyond simple storage, Supernote provides an active processing pipeline to increase the utility of your notes:

1. Sync: Your device uploads .note files using the official Private Cloud protocol.
2. Transcribe: The server extract pages and use Gemini Vision to OCR your handwriting.
3. Synthesize: AI Analyzers review your journals to find tasks, themes, and summaries.
4. Index: Every word is vectorized, enabling semantic search across your entire library.

Web Interface

The integrated frontend allows you to review your notes and AI insights side-by-side.

Quick Start

You can run the server either as a Lite Sync Server (Zero-Config) or with the AI & Semantic Search features enabled.

1. Launch the Server

Choose one of the options below to start the server.

Option A: Lite Sync Server (Zero-Config)

No API keys or external services required. Runs locally with SQLite.

• Using Python:

  pip install "supernote[server]"
  supernote serve
  

• Using Docker:

  # Build the docker image locally
  docker build -t supernote .
  
  # Run the container (maps the local storage/ folder to the container's /data volume)
  docker run -d \
    -p 8080:8080 \
    -v $(pwd)/storage:/data \
    --name supernote-server \
    supernote
  

Option B: AI & Knowledge Hub (With Gemini)

Enables handwriting transcription, summarization, and semantic search. Requires a Google Gemini API Key.

• Using Python:

  export SUPERNOTE_GEMINI_API_KEY="your-gemini-api-key"
  pip install "supernote[all]"
  supernote serve
  

• Using Docker:

  # Build the docker image locally
  docker build -t supernote .
  
  # Run the container with your Gemini API key
  docker run -d \
    -p 8080:8080 \
    -v $(pwd)/storage:/data \
    -e SUPERNOTE_GEMINI_API_KEY="your-gemini-api-key" \
    --name supernote-server \
    supernote
  

2. Bootstrap Your User

Once the server is running, register your administrator account:

• Using Python CLI:

  # Create the initial admin account
  supernote admin --url http://localhost:8080 user add you@example.com
  
  # Authenticate your CLI
  supernote cloud login you@example.com --url http://localhost:8080
  

• Using Docker CLI:

  # Create the initial admin account
  docker exec -it supernote-server supernote admin --url http://localhost:8080 user add you@example.com
  

3. Connect Your Device

1. On your Supernote, go to Settings > Sync > Private Cloud.
2. Enter your server URL (e.g., http://192.168.1.5:8080).
3. Log in with the email and password you created in Step 2.
4. Tap Sync to begin syncing your notes.

4. Explore Your Insights

Once your notes sync and process, you can view the AI synthesis from the terminal or browser:

# Get a high-level summary and transcription
supernote cloud insights /Notes/NOTE/Journal.note

# Semantic search across all notebooks
supernote cloud search "What were my project goals for February?"

You can access the insights from the MCP server at http://<your ip:port>/mcp

[!TIP] Semantic Search: Supernote doesn't just look for words—it understands concepts. Searching for "budget" will find notes about "expenses" or "money," even if the specific word isn't there.

Features Deep Dive

• Official Protocol Compatibility: Implements the official Supernote Private Cloud protocol for seamless device synchronization. While Ratta's official service provides a robust and managed sync experience, this project allows for local data ownership and custom background processing.
• Notebook Parsing: Native, high-fidelity conversion of .note files to PDF, PNG, SVG, or plain text.
• Developer API: Modern asyncio client to build your own automation around Supernote data.
• Observability: Built-in request tracing and background task monitoring.

Installation

# Install specific components
pip install supernote              # Notebook parsing only
pip install supernote[server]      # + Private server & AI features
pip install supernote[client]      # + API Client

# Full installation (recommended for server users)
pip install supernote[all]

Local Development Setup

To set up the project for development, please refer to the Contributing Guide.

Parse a Notebook (Local)

from supernote.notebook import parse_notebook

notebook = parse_notebook("mynote.note")
notebook.to_pdf("output.pdf")

The notebook parser is a fork and slightly lighter dependency version of supernote-tool. All credit goes to the original authors for providing an amazing low-level utility.

Run with Docker

# Build the image locally
docker build -t supernote .

# Run container (maps your local storage directory to the container's /data volume)
docker run -d \
  -p 8080:8080 \
  -v $(pwd)/storage:/data \
  --name supernote-server \
  supernote

See Server Documentation for more configuration details.

Developer API

Integrate Supernote into your own Python applications:

from supernote.client import Supernote
# See library docstrings for usage examples

CLI Usage

# Server & Admin
supernote serve                      # Start the cloud
supernote admin user list           # Manage your users

# AI Synthesis & Insights
supernote cloud insights /Note.note # View synthesis from CLI

# File Operations
supernote cloud ls /                # List remote files
supernote cloud download /Note.note # Download to local machine

Notebook Operations (Local)

You can use the built-in parser outside of the cloud server:

from supernote.notebook import parse_notebook

note = parse_notebook("journal.note")
note.to_pdf("journal.pdf") # Multi-layer PDF conversion

The notebook parser is a fork of the excellent supernote-tool with updated dependencies and modern type hints.

Contributing

We welcome contributions! Please see our Contributing Guide for details on:

• Local development setup
• Project architecture
• Using Ephemeral Mode for fast testing
• AI Skills for agentic interaction

Acknowledgments

This project is in support of the amazing Ratta Supernote product and community. It aims to be a complementary, unofficial offering that is fully compatible with the official Private Cloud protocol.

Choosing Your Private Cloud Experience

While the official Supernote Private Cloud by Ratta provides a production-grade managed sync experience, this toolkit offers a highly efficient self-hosted alternative with opt-in AI enhancement.

This toolkit is a great fit if:

• You want a lightweight, resource-friendly private cloud that runs easily on a basic NAS or low-power server.
• You want 100% compliance with the local OpenAPI sync protocols.
• You want AI-generated summaries and insights from your notebooks (optional).
• You want to perform semantic searches across your entire handwriting library (optional).
• You want to integrate your notes into local scripts via a Python API or CLI.
• You want to use the Model Context Protocol (MCP) to chat with your notes using AI agents.

Community Projects

• jya-dev/supernote-tool - Original parser foundation.
• awesome-supernote - Curated resource list.
• sn2md - Supernote to text/image converter.