Memento is a Python app that records everything you do on your computer and lets you go back in time, search, and chat with a LLM (Large Language Model) to find back information about what you did.

This project is heavily inspired by rewind.ai

• The app takes a screenshot every 2 seconds
• It compiles the screenshots into h264 video segments for storage efficiency
• It uses OCR to extract text from the images
• It indexes the text in a sqlite3 database and a vectordb
• It uses FTS5 to search the text
• It uses a LLM (GPT through OpenAI's API) to chat with the timeline

• The main branch is the latest release
• The dev branch contains the latest "stable" improvements that will be merged into main periodically
• Any other branch is a feature currently being developed

• Right now, Memento produces about 120MB of data per hour
• We are working on ways to reduce this number
• TODO profile cpu usage of Memento

This project was tested on Ubuntu 22.04.

$ pip install -e .

You also need to install tesseract-ocr on your system. To install latest version (tesseract 5.x.x):

$ sudo apt update
$ sudo add-apt-repository ppa:alex-p/tesseract-ocr-devel
$ sudo apt install tesseract-ocr

Then install the language packs you need, for example:

$ sudo apt install tesseract-ocr-eng
$ sudo apt install tesseract-ocr-fra

You also need to set an environment variable : (This is the path on my system, it may be different on yours)

export TESSDATA_PREFIX=/usr/share/tesseract-ocr/5/tessdata/

If you want to chat with the timeline through a llm, you need an openai api key in your env as OPENAI_API_KEY.

$ memento-bg

$ memento-timeline

• Scroll horizontally or vertically to navigate the timeline.
• ctrl+scroll to zoom the timeline in and out.
• Hover the timeline to see a preview of the screenshot at that time, click to navigate there.
• Press d for debug mode (useful for development)
• ctrl+f to open search sidebar.
• ctrl+t to open chat sidebar.
• click+drag on a screenshot to select text, ctrl+c to copy it to clipboard.

Feel free to contribute !

Fork the repo, and submit a PR to the dev branch.