This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Samvid Memory Studio
One install. Every AI on your machine finally remembers.
You've explained your stack, your preferences, your decisions, dozens of times over & over again. Inspired by human memory, Samvid Memory Studio solves that recursive loop. Install once, and every AI tool on your machine shares a persistent, local memory. Claude knows what Cursor learned. Cursor remembers what you decided last week. Memories gather. Connections deepen. Meaning emerges. No cloud. No account. Runs entirely on your machine.
Hi Product Hunt 👋 I'm Anand, and I've been quietly obsessed with a genuine problem.
Every AI assistant I used was great in the moment and completely clueless the next day. New chat. Blank slate. We had been through this before, but it didn't remember. I would explain my setup again. My preferences again. The context that took 20 minutes to establish, again.
The frustrating part? These models are intelligent, no doubt. It's a memory problem. And I did not find anything that was solving it at the layer where it actually matters , across tools, across sessions, locally, privately.
So I spent the better part of a year building Samvid Memory Studio.
It's a local memory layer that sits underneath your AI tools. Think of it as a shared brain that multiple AI applications can read from and write to , one that remembers semantically, not just verbatim. Not "what did the user type" but "what does the user mean, prefer, and care about."
What I built and why:
🧠 Semantic memory : Inspired by how humans actually recall things (by association, not keyword search or words)
🏠 Local-first : Your memories live on your device. No cloud, no subscriptions, no strangers reading the context
🔌 Three interfaces : MCP for AI tools, terminal for automation, desktop app for humans who just want to see what's stored
🤝 Shared across apps : One memory layer, multiple assistants. They finally get to talk to the same "you".
When an assistant picks up context from multiple related sessions or related query without being told to. That's when it stops feeling like software and starts feeling like something different, personal & friendly.
I'd love feedback from people who care about continuity. What's the memory problem in your stack that nobody's solved yet?
About Samvid Memory Studio on Product Hunt
“One install. Every AI on your machine finally remembers.”
Samvid Memory Studio was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #152 on the daily leaderboard. You've explained your stack, your preferences, your decisions, dozens of times over & over again. Inspired by human memory, Samvid Memory Studio solves that recursive loop. Install once, and every AI tool on your machine shares a persistent, local memory. Claude knows what Cursor learned. Cursor remembers what you decided last week. Memories gather. Connections deepen. Meaning emerges. No cloud. No account. Runs entirely on your machine.
On the analytics side, Samvid Memory Studio competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Samvid Memory Studio performed against the three products that launched closest to it on the same day.
Who hunted Samvid Memory Studio?
Samvid Memory Studio was hunted by Anand Dey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Samvid Memory Studio including community comment highlights and product details, visit the product overview.
Anand Dey
Hi Product Hunt 👋 I'm Anand, and I've been quietly obsessed with a genuine problem.
Every AI assistant I used was great in the moment and completely clueless the next day. New chat. Blank slate. We had been through this before, but it didn't remember. I would explain my setup again. My preferences again. The context that took 20 minutes to establish, again.
The frustrating part? These models are intelligent, no doubt. It's a memory problem. And I did not find anything that was solving it at the layer where it actually matters , across tools, across sessions, locally, privately.
So I spent the better part of a year building Samvid Memory Studio.
It's a local memory layer that sits underneath your AI tools. Think of it as a shared brain that multiple AI applications can read from and write to , one that remembers semantically, not just verbatim. Not "what did the user type" but "what does the user mean, prefer, and care about."
What I built and why:
🧠 Semantic memory : Inspired by how humans actually recall things (by association, not keyword search or words)
🏠 Local-first : Your memories live on your device. No cloud, no subscriptions, no strangers reading the context
🔌 Three interfaces : MCP for AI tools, terminal for automation, desktop app for humans who just want to see what's stored
🤝 Shared across apps : One memory layer, multiple assistants. They finally get to talk to the same "you".
When an assistant picks up context from multiple related sessions or related query without being told to. That's when it stops feeling like software and starts feeling like something different, personal & friendly.
I'd love feedback from people who care about continuity. What's the memory problem in your stack that nobody's solved yet?