Kevin William David

Pieces Long-Term Memory Agent - The first AI that remembers everything you work on

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Ever wish you had an AI tool that remembered what you worked on, with who, and when across your entire desktop? Pieces Long-Term Memory Agent captures, preserves, and resurfaces historical workflow details, so you can pick up where you left off.

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Chris Lane Jones

This is great, I like having a desktop agent that can find old emails for me without me having to search forever.

Ellie

@chris_lane_jonesΒ Thank you for the support Chris! That is a great way of using it, searching through old chats and email threads can get really tiring.

After you try LTM-2, we would love to hear what you think about it 🀝

Slavisa Dujkovic

I'm not a developer, but my memory is definitely running low! :) Congrats on the launch!

Ellie

@slavisa_dujkovicΒ Even non-developers can use Pieces to help with retaining all of their workflow context! πŸ˜‰ If you end up giving it a try, we'd love to hear what you think!

Soumik mahato
nice Idea πŸ’‘, better than traditional ai agent
Nikhil L

@soumikmahatoΒ thanks, yeah definitely an upgrade over existing AI agents.

Ellie

@soumikmahatoΒ Thank you Soumik! Definitely better than the traditional AI, if you end up trying Pieces, we would love your feedback! πŸ™

Sebastian Voletti

Nice one, the local functionality is becoming a real thing!

Ali Mustufa Shaikh

Thanks@sebastian_voletti, your support means a lot;

Congrats on the launch! Highly recommend!

Nikhil L

@zijianΒ Thank you for your support Gong πŸ™Œ

Ellie

@zijianΒ Thank you for the support! Good luck on your upcoming launch πŸ™

Emmanuel Isenah

Picking up right where I left offβ€”whether it was yesterday or last weekβ€”has never been this effortless. LTM-2 just gets it. πŸš€

Ellie

@emmanuelisenahΒ Thank you for the support! And yes! With LTM-2 you can even ask about last month, or about a project you were working on 3 months ago!

Joe Ward

Impressive. I've been thinking about something like this for about 10 years now. This might be the only implementation I know of that approaches it in this manner. Kudos!

Ellie

@joewardprΒ Wow! After trying Pieces we would love to know if it lives up to what you've been thinking about all these years. Also, if you have any suggestions for how we can improve it we're all ears.

Thanks so much for the support!

Joe Ward

@elliezubΒ I haven't tried it yet, but I recommend that you do a rapid-fire video that showcases 5-10 things you can do with Pieces very quickly, no intro dialogue or bloat.

The part that jumped out was "remember everything you work on." I'm not sure if that is user-driver (actively selecting pieces to store) or if it observes activity and knows what to record automagically.

I worked on a prototype Chrome extension that would allow me to save links and snippets of a page, and assign it to a "project" while I coded, so that I could have a reference to the research I was using during development. That is never captured in GitHub (just the result of all that research put to work). But, it still has value. At the time I did the prototype, there were no LLMs like we have today to enhance the capabilities, and it resulted in being a bit of a mixed-format bookmarking/note-taking extension. It was monitoring my activity.

Your plugin model is essential. I imagined (minimally) that something (a plugin) was monitoring Terminal, my browser, and my IDE. And it automatically recorded my activity, knowing what was relevant to my key task, and even associating some of the research done to specific segments of the code. I also imagined that it could auto-summarize the research in a file within a coding project structure, that would get included in the GitHub repository has it changed. And that would basically tell the story of historical changes and development to the project, but more about process and research than just a change log.

I don't think you've achieved this all yet, but you're probably very close. At the very least, you're doing multi-plugin, user-requested storage of resources (pieces), with LLM summarization and questioning.

Martin Streicher

Does Pieces recollect what I have viewed in the browser and, say, Slack? Audio conversations? Video transcriptions? How does one configure the latter sort of features?

Sam Jones

Hi@martin_streicher1Β ,
We have no plans to add Audio to Pieces in the near future, however, if you turn on closed captions in meetings or on videos, Pieces does a great job at keeping up with the conversation!

Jake Johnson

This is so sick. 9 months of memory is amazing. I'm curious how you handle privacy concerns?

Ellie

@jakejohnson21Β Thanks for checking out the launch Jake!!

As for privacy, Pieces keeps everything local by default, so your data stays on your device. Sensitive details get filtered out automatically, and if you are using a local LLM like Mistral or Phi, nothing ever leaves your machine. If you go with a cloud model, Pieces only sends the context needed to answer your question.

Hope that helps! If you're interested in learning more about privacy, you can check out this page in our docs: https://beta.docs.pieces.app/products/privacy-security-your-data

Jacob Molz

Got to see the power of LTM back in its early stages. @elliezub and the team got me set up with it right after All Things Open Conference here in Raleigh, NC. Even when I first experienced it, I saw the huge potential for this. As someone that does a lot of projects - and as the sole engineer - LTM is powerful. It's like a second brain for all my pipeline memory. Only up from here. Congrats on the release, team!

Ellie

@jacob_molz1Β Hi Jacob! Thank you for supporting our launch!

I know you used LTM a few times in the past, so I know the team would absolutely love to hear what you think of LTM-2 considering all of the updates that have gone out since our last chat. If you ever want another intro to Pieces call, feel free to reach out! πŸ™

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