Memory

Memory is a simple, open-source note-taking application designed for minimalism and efficiency. The goal is to provide a straightforward interface for taking and organizing notes without unnecessary features that complicate the experience.

Why Memory?

When you think about it, almost anything on the web starts with a simple idea: an empty page that holds content. Yet, finding a simple, frictionless note-taking app has been a challenge. Over time, many apps have become bloated with features, making the act of writing down thoughts unnecessarily complex.

Memory was created to solve this problem. It offers a lightweight and intuitive way to organize notes in simple folders, making it easy to record ideas while you work.

Features

• Simple UI with no unnecessary buttons—just press <enter> to submit.
• Folder and note creation using <enter>:
  • New Folder: Input the folder name and press <enter>.
  • New Note: Input the title, folder, and subtitle, then press <enter>.
• Built-in keyboard shortcuts for a faster workflow:
  • <Ctrl-s>: Save edits.
  • <Ctrl-b>: Bold selection.
  • <Ctrl-i>: Italicize selection.
  • <Ctrl-u>: Underline selection.
  • <Ctrl-h>: Highlight selection.
• Instant formatting for pasted URLs (YouTube, images, etc.).
• Local media storage under /notes.

Future Features

• IPFS integration for secure note sharing.
• Import & Export notes.
• Folder and note reordering.
• Code formatting & beautification.
• One-click installation package for non-technical users.

Installation

To install and run Memory, ensure you have Python installed on your system.

1. Clone the repository:

   git clone https://github.com/yousboot/memory.git
   cd memory

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   python app.py

The app will start running locally, allowing you to access it via your browser.

Running with Docker

Alternatively, you can run Memory using Docker.

1. Build the Docker image:

   docker build -t memory .

2. Run the Docker container:

   docker run -p 5000:5000 memory

Now, the app is running inside Docker, and you can access it at:

http://localhost:5000

or

http://127.0.0.1:5000

Contributing

Memory is open-source, and contributions are welcome. If you have ideas or improvements, feel free to submit a pull request.

Connect

For feedback or contributions, reach out to me:

• LinkedIn
• GitHub

Made with ❤️ by Youssef.