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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Your Local Artificial Memory on your Device.
| Date | Stars |
|---|---|
| 2026-07-24 | 513 |
| 2026-07-25 | 513 |
| 2026-07-28 | 513 |
| 2026-07-30 | 513 |
| 2026-08-06 | 513 |
Today
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growth rate 0.00%/day
<div align="center">
<img src="remindai-ui.gif" alt="RemindAI UI Preview">
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<h1 align="center">
RemindAI - Your AI Memory agent
</h1>
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<a href="https://discord.gg/fgm2Mf8h9n" target="_blank">Join our Discord</a> |
<a href="https://www.youtube.com/@RemindAI" target="_blank">Watch on YouTube</a> |
<a href="https://www.linkedin.com/company/remind-ai" target="_blank">LinkedIn</a> |
<a href="https://trello.com/b/1djO3jge/remind" target="_blank">View Roadmap</a>
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Welcome to reMind! This application captures and indexes your digital activities, transcribing and summarizing them for easy recall. reMind uses advanced AI models to provide detailed summaries of your daily activities and to answer questions based on your digital history.
## Distribution
- A first version for macOS is now available for download
- The beautiful UI & App is powered by [Enchanted](https://github.com/AugustDev/enchanted), created by AugustDev
## Features
## Features
- **Capture Digital Activities**: Records screenshots, audio, and other digital activities.
- **Text Transcription**: Transcribes text from captured screenshots.
- **Indexing**: Uses vector databases to index and retrieve documents.
- **Summarization**: Provides detailed summaries of daily activities.
- **Interactive Chat**: Interact with the application using a chat interface to query your digital history.
# Requisites ⚙️
To use the RemindAI, these requisites must be met:
1. Download the repo.
2. Node.js (18+) and npm are required. [Download](https://nodejs.org/en/download)
3. Download Ollama. (and pull llama3.1) [Download](https://ollama.com/)
4. Download Python. [Download](https://www.python.org//)
## Before You Begin
1. **Clone the repository:**
- Use the command `git clone https://github.com/DonTizi/ReMind/` to clone the repository to your local machine.
2. **Install the necessary modules:**
- Navigate to the project directory and run `npm install` to install all required dependencies.
3. **Start the server:**
- After the installation is complete, run `npm run dev` to start the server.
Once these steps are completed, you can follow along with the video to finish setting up Remind.
# How to Setup Remind
[](https://www.youtube.com/watch?v=6HyN4Jsmmug&t=7s)
Click the image above or [here](https://www.youtube.com/watch?v=6HyN4Jsmmug&t=7s) to watch the full video on how to set up Remind.
**Interact with the Application**
Launch the Remind application to ask questions about your digital activity. Please wait for about 30 minutes the first time to allow the application to gather digital activities into its vector database.
## Contributing
We welcome contributions from the community! To contribute:
1. Fork the repository.
2. Create a new branch (`git checkout -b feature-branch`).
3. Make your changes.
4. Commit your changes (`git commit -m 'Add new feature'`).
5. Push to the branch (`git push origin feature-branch`).
6. Create a pull request.
## License
This project is licensed under the apache License. See the [LICENSE](LICENSE) file for details.
## Acknowledgments
- UI and App powered by [Enchanted](https://github.com/AugustDev/enchanted) by AugustDev
## Contact
For questions or support, please open an issue in the GitHub repository or contact me at [[email protected]](mailto:[email protected]).
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Thank you for using reMind! We hope it helps you manage and recall your digital activities effortlessly. By making reMind open-source, we aim to foster a collaborative environment where developers can contribute to and improve this innovative application. Happy coding!
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Read on GitHub51
Joseph Mearman · @ExaDev · United Kingdom
6
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:234aeb7eee8496a9, topic:vector-database, readme:vector database
matched fp:234aeb7eee8496a9, topic:ocr
matched fp:234aeb7eee8496a9, topic:llama
matched fp:234aeb7eee8496a9, topic:embeddings