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.
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!
Hey @rayane_melbouci that sounds amazing. I think it's time to retire my spotlight search, it can't find my files anyway š
So this runs completely locally, would be a huge privacy benefit as well?
Congrats on the launch š
This is awesome, I tried rewind in the past āstopped because of privacy concernsā, now I excited to try remind since it is local.
Congrats on the launch
@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!
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!
Congrats on the launch of eMind! š
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!
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!
@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!
Dear @rayane_melbouci fantastic. Considering retiring my spotlight search, it can't locate my files š Is it fully local, which would boost privacy? Many congratulations on the launch! š
So it's like we're just giving our laptop memories to a piece of software now, right? I mean, sure, keeping everything local sounds great, but isn't there always a risk? I wonder how many people are gonna find actually going back through all that data helpful, or will it just be another tool that gets ignored in a few weeks, thoughts?
@cxconnectioncoach
As long as it boosts the productivity of many people, with features being added progressively and the project remaining open source, I don't see how it could be negative, even if the project might get overlooked. It's something I created purely for fun, and Iāll continue developing it over time :)
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.
@lucasbenjaminfoster Hi Lucas, yes, in a way, itās 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, youāll need to use a multilingual model specifically designed for that purpose.
I can implement it if you want :)
cool idea but kinda creepy too ya know who wants a computer tracking everything, have you thought about adding privacy options or maybe a way to choose what gets stored, just saying š
Cool idea having a local AI to remember everything you've done but isn't it kinda creepy that it tracks all your screen content even if it's for "boosting productivity" just saying we've all seen how privacy promises go down the drainš§
Seems cool but I'm a bit concerned about the privacy stuff, even with everything stored locally, what's being done to really ensure nothing leaks, also how resource-intensive is it, does it slow down your laptop while running, would be great if it had an option to exclude certain apps or times from being tracked
I've similar concept in other tools, but this oneās open-source nature makes it stand out. The flexibility to customize it for personal use is a significant advantage.
Iām impressed with the potential here. The ability to integrate AI into memory retention is innovative and could significantly boost productivity. Excited to give it a try.
Concept of using AI to manage and recall digital activities is both innovative and practical. Iām curious, though how does it handle privacy concerns with storing personal data?
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