Launched this week
CogniMemo Extension

CogniMemo Extension

AI memory tool that lives where you work

117 followers

CogniMemo helps your AI remember. It adds long-term memory to ChatGPT and other AI tools. You can type @cogni in any chat to search your saved notes, past chats, and content. It works with ChatGPT, Claude, Gemini, and DeepSeek. You can save posts from X/Twitter, archive your AI conversations, and use a floating assistant on any website to explain or write using your own knowledge. Everything stays organized in one fast, searchable place—and your data stays under your control.
CogniMemo Extension gallery image
CogniMemo Extension gallery image
CogniMemo Extension gallery image
CogniMemo Extension gallery image
CogniMemo Extension gallery image
CogniMemo Extension gallery image
CogniMemo Extension gallery image
CogniMemo Extension gallery image
CogniMemo Extension gallery image
Free Options
Launch Team / Built With
Vy - Cross platform AI agent
Vy - Cross platform AI agent
AI agent that uses your computer, cross platform, no APIs
Promoted

What do you think? …

Volkan Çetin

Hey Product Hunt 👋
I’m Volkan Çetin, Co-Founder of CogniMemo.

We built CogniMemo Extension because AI forgetting everything felt broken.

Every chat resets
Every tool is isolated
Every insight gets lost

We wanted AI to actually remember — across tools, chats, and the web.

What CogniMemo Extension does:

  • Adds long-term memory to your AI

  • Lets you search your own knowledge by typing @cogni in any chat

  • Syncs your X (Twitter) content and AI conversations into one memory

  • Gives you a floating AI copilot you can use on any website

  • Works as one browser extension

  • Acts as a single memory layer you can use with any LLM

One extension.
One memory layer.
Any AI model.

We’re excited to finally share this with you.
Would love your feedback and questions 🚀

Darrell Faucett

@cogni  @vlknctn very nice application You did a nice job, good luck. On your lunch

Volkan Çetin

@cogni  @dubd59 Thanks a lot, Darrell — really appreciate the kind words and support!
We’re just getting started, excited to see where this goes. 🙏

Russell Dou

Wondering how you’re thinking about memory hygiene long-term, like how do users avoid outdated or conflicting memories being pulled back into chats?

Sami Ullah Tufail

@russell_dou Thanks for the question
this is something we’ve been very deliberate about from the start.

Long-term memory only works if it stays trustworthy, so we treat memory hygiene as a first-class concern, not an afterthought. At a high level, we focus on three layers:

1. Scoped and contextual memory
Memories aren’t pulled globally by default. They’re scoped by user, app, workspace, and even intent, so irrelevant or stale data doesn’t compete for attention. This alone eliminates a large class of conflicts.

2. Decay, versioning, and confidence signals
Memories aren’t static. Each entry carries freshness, usage frequency, and confidence metadata. Older or contradicted memories naturally decay in priority, while reinforced ones rise. When new information conflicts with an existing memory, we don’t blindly overwrite—it gets versioned and resolved based on recency and reliability.

3. Explicit control and auditability
Users and developers can inspect, edit, lock, or delete memories. If something becomes outdated, it can be deprecated or archived rather than silently resurfacing. We believe “invisible memory” is dangerous; explainability matters.

Long-term, we see memory behaving more like a living knowledge graph than a log—constantly re-evaluated, pruned, and re-weighted based on real usage and signals, not just time.

In short: memories should earn their way back into a conversation. If they don’t, they fade out.

Russell Dou

Invisible memory really is dangerous.


One case I keep running into is long-running projects where assumptions subtly change over weeks. It sounds like versioning + confidence signals could help there.

Excited to see how this evolves as usage scales.

Pavel Tseluyko

Incredible, I love this simple UX, less is more and nothing else is needed

Sami Ullah Tufail

@pasha_tseluyko Thank you so much! 🙌
That really means a lot to us. We intentionally focused on keeping the UX minimal and distraction-free, so it’s great to hear that “less is more” resonates. We’re aiming to let the value come from the experience itself, not extra complexity. Appreciate the support! 🚀

Volkan Çetin

@pasha_tseluyko Appreciate for your opinions, means a lot 🙏🏻

Sami Ullah Tufail

Hey Product Hunt 👋
I’m Sami, founder of Cognimemo.

We built Cogniextension because AI tools forget everything the moment your chat ends — and humans shouldn’t have to repeat themselves.

Cogniextension lets you save, recall, and reuse context across tools, tabs, and conversations.

What it does (plain English)

  • 🧠 Capture important info while you work (notes, decisions, context)

  • 🔍 Retrieve the right memory when you ask — not a long chat history

  • 📌 Pin what matters and expand it when you need deep context

  • 🤖 Designed for AI workflows, not just note-taking

This isn’t another notes app.
It’s context infrastructure for people using AI every day.

Who it’s for

  • Builders & developers

  • Researchers & writers

  • Anyone tired of re-explaining things to AI

Why we built it

We noticed something broken:

AI is powerful, but it has no memory — and humans pay the cost.

Cogniextension is our first step toward fixing that.

What we’d love from you

  • Try it and break it

  • Tell us where it actually helps (or doesn’t)

  • Feature requests > compliments 🙂

We’re shipping fast and listening closely.

Thanks for checking it out — excited to hear what you think! 🙌

Frank Li

“AI that actually remembers” sounds simple, but it’s surprisingly hard to get right. Curious to see where this goes.

Congrats on the launch.

Volkan Çetin

@frank_li13 Thanks a lot, really appreciate it 🙏
You’re absolutely right — “remembering” sounds simple, but doing it in a way that’s persistent, useful, and safe is the hard part. We’re excited to explore where this goes and to learn in public as we build. Thanks for checking it out 🚀

yama

The @cogni trigger is an elegant approach to memory recall - avoids switching context between tools. Curious how CogniMemo handles semantic search when the saved content is in different languages, since many developers work across multilingual docs and codebases.

Volkan Çetin

@yamamoto7 Thanks — that’s exactly the intent behind @cogni: memory recall without breaking flow.

On multilingual content: CogniMemo stores memory at a semantic level rather than treating language as a hard boundary. We normalize and embed content in a way that lets concepts map across languages, so recalling “the same idea” works even if it was saved in another language. In practice, that means you can write, save, and query across mixed-language docs and codebases without needing to remember which language you used at the time.

It’s an area we’re actively refining, especially for devs working across English + local languages, so feedback here is very welcome.

Rex

One thing I appreciate about CogniMemo Extension is that it seems to accept how unreliable human memory actually is.

Most extensions in this space quietly assume users will know in the moment what’s worth remembering. In reality, we usually realize something mattered only later. CogniMemo Extension feels like it’s designed around that gap, rather than fighting it.

As a first impression, the approach feels grounded in real cognitive behavior, not idealized workflows — which is often what separates sticky tools from forgotten ones.

Volkan Çetin

@rexlian Thanks for articulating this so clearly — you’ve put your finger on the exact problem we’re trying to solve.

Human memory is retrospective, not predictive. We rarely know what will matter at the moment we see it; meaning emerges later, when context shifts. Most tools fight that reality by forcing users to decide upfront. CogniMemo is built around accepting it.

That’s why the extension is intentionally lightweight at capture time and more powerful at recall time. The goal isn’t perfect organization in the moment — it’s making past context retrievable when it suddenly becomes relevant.

If it feels grounded in real cognitive behavior, that’s the best signal we could hope for. Appreciate you noticing and sharing this perspective.