Remind AI
Capture your digital activity and use it as memory with AI.
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Elyes Rayane Melbouci

Remind AI - Ask about what you’ve seen and done on your laptop

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Remind AI
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Your personalized local AI that stores your digital activity. Ask it what you have done and seen on your laptop. Be productive by generating content, code, or solutions using the memory of your activity on the laptop.

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Elyes Rayane Melbouci
Maker
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I'm excited to introduce reMind, an open-source project I've been developing for the past nine months. reMind is a digital memory assistant that captures screen content, uses Al for indexing and retrieval, and stores everything locally for privacy. While it offers functionality similar to Apple's Intelligence and Microsoft's Recall solutions, reMind stands out by being fully open-source and customizable. What sets reMind apart is its integration of Open-Source technologies. I've combined Ollama for local AI, Meta's Llama 3.1 for language processing, and Nomic AI for embeddings models, all wrapped in a sleek interface built with OpenWebUI and Python. This unique blend allows for a powerful yet user-friendly experience. Imagine easily recalling solutions to past technical issues, recreating code snippets you saw online, or quickly summarizing your week's work for team meetings. reMind makes your entire digital life searchable and accessible, boosting productivity and enhancing your digital experiences. We've already had some collaborations and received over 200 stars, even before officially launching Remind, and I'm proud of that!
Andreea S.
@rayane_melbouci congrats on you launch! This product is amazing!
Max Savonin
@rayane_melbouci reMind's open-source approach and focus on privacy are commendable. The integration of AI models for indexing and retrieval offers a powerful solution for managing and accessing digital content. Here are some questions for further exploration: - Can users customize the AI models or indexing methods used by reMind? - How does reMind ensure the privacy and security of user data stored locally? - Is reMind compatible with various operating systems and devices? As a developer with experience in AI and open-source projects, I'm interested in how reMind works. Here are some potential areas for collaboration: - Contributing to the development and refinement of the AI models used for indexing, retrieval, and summarization. - Exploring additional features like tagging, categorization, or integration with other productivity tools. - Fostering a community around reMind to encourage user contributions and support. I'd love to learn more about reMind's technical architecture and explore opportunities to contribute to its development. Additionally, I'm interested in trying out reMind to see how it can improve my productivity and digital organization.
Nitesh Jamod
Dear @rayane_melbouci fantastic. Considering retiring my spotlight search, it can't locate my files 😅 Is it fully local, which would boost privacy? Many congratulations on the launch! 🚀
Elyes Rayane Melbouci
Maker
@nitesh_jamod Completely local, free, and open-source.
Kyrylo Silin
Hey Elyes, How does it manage storage for larger volumes of data while maintaining privacy? Congrats on the launch!
Elyes Rayane Melbouci
Maker
@kyrylosilin It transforms the data into vectors and stores them in a vector database, which takes up much less space than basic storage. Then, it performs a semantic search to determine the context, identifying the relevant date range. Afterward, it transforms the question into a vector and looks for similarities with the vector store to use that context to answer the questions!
Richard Song
Congratulations on the launch, @rayane_melbouci! Remind AI sounds like a must-have tool for anyone looking to enhance their digital workflow. The local storage for privacy is a significant advantage. How does the AI handle indexing and retrieving data quickly with large volumes? Looking forward to seeing how this evolves!
Elyes Rayane Melbouci
Maker
@renchu_song It first performs a semantic search of the question to evaluate the date range and uses that as context by identifying the vector similarities between the question and the context!
Christofer Huber
Hey @rayane_melbouci that sounds amazing. I think it's time to retire my spotlight search, it can't find my files anyway 😅 So this runs completely locally, would be a huge privacy benefit as well? Congrats on the launch 🚀
Lucas Benjamin Foster
Congrats on launching reMind, Elyes! This open-source twist is really different from what we usually see. Just curious, do you plan to support any other languages for the AI processing besides English?Keep up the great.
Elyes Rayane Melbouci
Maker
@lucasbenjaminfoster Hi Lucas, yes, in a way, it’s possible. This possibility will depend on the model being used. For example, the models supported by Ollama that work in French will be effective for queries in both French and English. To fully support such a feature, you’ll need to use a multilingual model specifically designed for that purpose. I can implement it if you want :)
Daniel Harrison
This looks super useful! I love the focus on privacy with everything stored locally. Haven't seen anything quite like reMind, can't wait to trry it out. Congrats!
Elyes Rayane Melbouci
Maker
@danielharrison Let me know if you need some help to implement it :)
Andreea S.
Congrats on the launch of eMind! 🚀 Love how you've combined powerful open-source tech to create a digital memory assistant that's not only super functional but also respects privacy. Here's to boosting productivity in a big way!
alexandra.kozareva
Looks like a solution I've been looking for since I've started working! Great idea
Elyes Rayane Melbouci
Maker
Lekan Oladosu
This is awesome, I tried rewind in the past “stopped because of privacy concerns”, now I excited to try remind since it is local. Congrats on the launch
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