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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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Tsavo Knott
Maker
📌

Hey Product Hunt!

Tsavo Knott here, CEO and Co-Founder of Pieces 👋. Today, we're launching Pieces Long-Term Memory Agent (LTM-2)—the first AI that remembers everything you work on.

AI has transformed how we build software, but it's always been missing one critical component: Memory.

Developers waste hours every week searching for lost work, switching between apps, and trying to reconstruct past decisions.

Code snippets, critical insights, and problem-solving steps get buried in Slack, lost in browser tabs, or forgotten in old commits. By the time you find what you need, your flow is broken, momentum is gone, and sometimes you end up rebuilding from scratch.

AI can generate content, but it doesn’t remember your work. Every day starts from zero.

That’s why we built Pieces Long-Term Memory (LTM-2), the first AI that captures everything you work on across desktop applications, browsers, IDEs, terminals—wherever you work.

It runs directly on macOS, Windows, and Linux, continuously structuring and resurfacing your work so you can pick up right where you left off. It remembers for months, organizing everything just like your brain does.

What LTM-2 Does

  • Remembers for 9+ months – Code, notes, links, and side conversations that shaped your decisions.

  • Instant recall – Ask, “When was the last time I hit this error?” or “What was I working on before Thanksgiving?” and get answers fast.

  • Workstream Activities – A full visual timeline showing what you did, when, and why.


Private & Built for Teams

  • 90% runs offline – Keeps your data secure and private.

  • Full control – Pause memory, block apps, or delete data anytime.


Pioneering OS-Level AI Memory

We’re not just launching a tool—we’re building a new category: OS-level Artificial Memory.

LTM-2 is a massive leap forward, and LTM-2.5 and LTM-3 are already in the works.

We can’t wait for you to try it and see how AI that remembers changes the way you work.

Let us know what you think!

Cheers,
Tsavo

Jack Ross
Maker

@tsavo_at_pieces

  • casually ships cutting-edge AI memory

  • already working on LTM-2.5 and LTM-3

Geeez y'all, save some innovation for the rest of us!! 😂

Akshay Lahri
Let's Trip

@tsavo_at_pieces This is a great problem to solve. I have been maintaining the same chat for a very long time on chatGPT and the page gets heavy everytime I ask for a new answer. How are you addressing this problem? Congratulations on the launch.

Shubham

@tsavo_at_pieces @akshay_lahri I'm also facing the same thing with ChatGPT

Ellie
Maker

@masump 100% agree!! 😎 If you end up trying out Pieces, we would love your feedback on it!

Henry Rausch
🔌 Plugged in

Pieces for Developers

Pieces is a revolutionary AI-powered productivity tool designed specifically for developers and content creators who work with text. As a centralized code snippet manager enhanced with on-device AI capabilities, it's become an essential part of my daily workflow.


What Makes Pieces Stand Out: The Long-Term Memory Advantage

Pieces has pioneered a groundbreaking innovation in developer tools - the Long-Term Memory Agent (LTM-2). This isn't just another AI tool; it's the first AI that truly remembers everything you work on across your entire digital ecosystem.

Unlike other tools that force you to start from zero each day, Pieces creates a persistent memory of your development journey. The LTM-2 agent captures everything across desktop applications, browsers, IDEs, and terminals, remembering your work for 9+ months. This solves one of the most frustrating aspects of development work - losing valuable time searching for lost snippets, past solutions, and critical insights buried in various platforms.

I've been using Pieces daily, and its ability to instantly recall previous work with natural language queries like "When was the last time I hit this error?" has dramatically improved my productivity. The visual timeline showing my entire workstream activity helps me maintain context between sessions and pick up exactly where I left off.


Privacy-Focused Architecture

What particularly impresses me is Pieces' commitment to privacy. With 90% of processing running offline and directly on my machine (macOS, Windows, or Linux), my code and sensitive information remain secure. The ability to pause memory collection, block specific apps, or delete data provides complete control over what gets remembered.


Customer-Focused Development

What truly sets Pieces apart is their exceptional team's dedication to user feedback. They maintain active engagement with their community, consistently incorporating user suggestions into their roadmap. This responsiveness has created a product that genuinely addresses real developer pain points - particularly the fragmentation of knowledge across different tools and platforms.

Whether you're a student, indie developer, part of a startup team, or working in enterprise development, Pieces offers significant productivity gains by eliminating the constant context-switching and search time that plagues modern development workflows.

If you're looking to elevate your development efficiency and maintain better focus on complex projects, I strongly recommend giving Pieces and its Long-Term Memory Agent a try. It's not just saving my time; it's fundamentally changing how I approach software development.

Shivay Lamba

@henry_rausch Such a nice explanation

Henry Rausch

@shivay_at_pieces Thank you so much!!

Ellie
Maker

@henry_rausch Absolutely love this summary Henry! The whole team at Pieces is so thankful for all the support you've shown throughout the past few years. Thank you so much! 🥹

Henry Rausch

@elliezub thank you and the team for the kind words! I'm rooting for you!

Bishoy Hany
Maker
@henry_rausch Great work Henry thank you for your support
Henry Rausch

Pieces is the best AI app I've used so far! Try it out and enjoy it for yourself!

Jack Ross
Maker

@hra42 Thank you Henry! Would love to know what your favorite prompts for Pieces are! I still use "Where did I leave off yesterday?" basically every morning

Henry Rausch

@jackross my day starts with a daily standup, so it's every morning:

Please give me a summary about:
1. What did I do yesterday?
2. What are my priority tasks today?
3. What did I talk about yesterday with my colleagues?

After that, I'm prepared for the daily and get a nice start in the day and connect with my team.

Jack Ross
Maker

@henry_rausch Love the conversation summaries with #3! Also been using "What didn't I do yesterday that I was supposed to?" recently and it's super helpful for finding things I actually forgot about! Pieces might actually have a better memory than me sometimes! 😂

Ellie
Maker

@hra42 Thank you so much Henry!! 🙏

Cole Stark
Quadratic
💡 Bright idea

A @Quadratic integration would be too good... "What was the Python code I used to generate a data visualization in my spreadsheet last week? Run that again here."

Ellie
Maker

@cole_at_quadratic That would be epic Cole! By the way, good luck on the launch tomorrow! 🥳

Cole Stark
Quadratic

@elliezub Thank you!! Good luck to you as well. Killing it so far!

Tsavo Knott
Maker

@elliezub @cole_at_quadratic I think partnerships and integrations are about to become a large part of the business model! Most definitely should explore this 🤝

Cole Stark
Quadratic
@tsavo_at_pieces let’s do it! My inbox is open 📥
Kay Kwak

This is truly a game changer! Thanks for sharing this project. Congrats on the launch !🎉

Ellie
Maker

@kay_arkain Thank you for the support Kay! We can't wait to hear what people think about LTM-2! 🥳

Jack Ross
Maker

@kay_arkain Thank YOU for the support Kay! You're who we build this for!!

Ellie
Maker

I am personally SO excited about the new Workstream Activity view. The rollups every 30 minutes are going to be an absolute game-changer for teams 🤝 Can't wait to see how people end up using LTM-2! 🥳

Jack Ross
Maker

@elliezub I'm never writing my own standup updates ever again LOL!

Shivay Lamba

Super excited to see Pieces LTM 2!


Think of LTM-2 as that close friend who knows you better than you know yourself. It doesn't just record what you did two hours ago - it understands the contextual relationships between all your system interactions, revealing patterns and connections in your daily workstream that even you weren't aware of.


LTM-2 observes how you move between tasks, recognizes the relationships between seemingly separate activities, and constructs a meaningful narrative of your digital behavior. It can identify when you're context-switching between projects, recognize recurring workflows, and highlight inefficiencies you might have missed. By understanding not just the individual actions but how they relate to your broader objectives, LTM-2 provides insights that transform how you understand and optimize your own work patterns.

Ellie
Maker

@shivay_at_pieces Wow! Thank you for all of the support Shivay, and that is a great way to describe LTM-2, "that close friend who knows you better than you know yourself," love it!

Jack Ross
Maker

@shivay_at_pieces Always fun having Pieces diagnose problems I didn't even know I was working on! Amazing what AI can do when it actually remembers your code, your conversations, and the actual GOAL of your work!

Nikhil L
Maker

Definitely a new innovation in AI space where everyone is just running behind raw compute and reasoning, but no one catering to what would truly make AI personalised for the end user, the context. All the best for the launch.

Jack Ross
Maker

@nikhil_l Personalized AI is the logical next step with LLMs - Pieces Long-Term Memory makes that happen!


You'd never hire a personal assistant who woke up every morning with amnesia! AI shouldn't be any different.


Thanks for the support and hope you're loving LTM-2!!

Hanna Stechenko
Maker

Exciting times for Pieces! 🚀 The team is building a game-changer with LTM-2, redefining AI-memory

Ellie
Maker

@hanna_stechenko2 This is probably the coolest update we have had yet! 🥳

Steve Caldwell

Congrats on the launch! Curious about how you see recent developments in MCP impacting or complimenting the offering. Seems like things are heading in that direction and could open up a lot of opportunities for Pieces.

Ali Mustufa Shaikh
Maker

Thanks @steve_caldwell2 , Sorry I was not able to catch what MCP is, can you sherd more light on what MCP means? Happy to answer your question;

Henry Rausch

@steve_caldwell2 @ialimustufa MCP = Model Context Protocol (https://www.anthropic.com/news/model-context-protocol) a standard how AIs can fetch data, it's good, but not comparable to pieces.

Steve Caldwell

@ialimustufa @henry_rausch Thanks for providing the additional context there Henry. I'm not sure I'd call it "comparable" to Pieces, but it certainly seems like a protocol that Pieces could leverage to quickly connect to many more data sources. It's kind of the hot girl at the AI context dance right now.

Ali Mustufa Shaikh
Maker

@henry_rausch @steve_caldwell2 Great question Steve! We don't currently use MCP, but we're excited about any standardization of data sources. With LTM-2 we're currently focussed more on the contextual data you're explicitly working with, but in the future we are definitely planning on augmenting the context for a query with these external data sources if we feel that it will provide a more useful answer!

Jim Bennett
Maker

@henry_rausch @steve_caldwell2 @ialimustufa Funnily enough I've been playing with MCP recently as a side project. We have a Python SDK so it wouldn't be too hard to implement this yourself for now using our Python SDK and the MCP Python SDK.

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