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Persistent memory is the Achilles heel of AI. Engramme’s Large Memory Models (LMMs) empower every app with persistent memory. Google solved search. OpenAI solved language. Engramme solved memory. Join beta:

1,137,264 görüntüleme • 5 ay önce •via X (Twitter)

41 Yorum

elvis profil fotoğrafı
elvis5 ay önce

Very interesting direction. Proactive memory recall feels like a fundamental primitive of modern AI agents. I shouldn't have to search for context that exists already. The brain doesn't work like that, and AI agents shouldn't either. Great launch!

Engramme profil fotoğrafı
Engramme5 ay önce

Agreed. Also, the problem will be exacerbated as agents start to live longer lives. Compare current lifespans for agents versus humans and therefore their memory retrieval needs.

Shaw profil fotoğrafı
Shaw5 ay önce

Not open source Our agents already have this Good luck

Rajesh Agarwal profil fotoğrafı
Rajesh Agarwal5 ay önce

Trust matters here. Memory tied to real events, not generated text, is the only way enterprise will adopt this.

Engramme profil fotoğrafı
Engramme5 ay önce

Agreed! Unlike LLMs, Large Memory Models do not hallucinate, and allow perfect recall.

Anuj profil fotoğrafı
Anuj5 ay önce

Exciting stuff! Memory is such a game changer for AI. Can't wait to see how this opens up new possibilities for apps!

Engramme profil fotoğrafı
Engramme5 ay önce

Read more about our thoughts on human memory augmentation here:

Keith So profil fotoğrafı
Keith So5 ay önce

Or just use mine for free, completely open sourced

Atul Kumar profil fotoğrafı
Atul Kumar5 ay önce

This is brilliant! "Google solved search. OpenAI solved language. Engramme solved memory." What an impactful way to frame the challenge and the solution.

Ori Mannheim profil fotoğrafı
Ori Mannheim5 ay önce

Just signed up for the beta

Krishna Agrawal profil fotoğrafı
Krishna Agrawal5 ay önce

What's the latency on memory retrieval? Real-time recall is a high bar.

Engramme profil fotoğrafı
Engramme5 ay önce

Large Memory Models enable sub 1s latency!

Steven Enamakel 🐥 profil fotoğrafı
Steven Enamakel 🐥5 ay önce

We've been at it with OpenHuman - 10M tokens of context, 4000 tok/sec, runs locally on your machine. $0 raised, fully open source. Different bet (local-first, you own the memory) but same conviction. Live now:

Charly Wargnier ♨️ profil fotoğrafı
Charly Wargnier ♨️5 ay önce

The pitch is brilliant, @gkreiman 👏 super curious how the API handles privacy and data fencing across different apps :)

Borja Odriozola Schick profil fotoğrafı
Borja Odriozola Schick5 ay önce

Maybe you should read this about persistent memory

Alexander Inspira IA profil fotoğrafı
Alexander Inspira IA5 ay önce

This idea of memory showing up without searching is actually what AI has been missing. 🫡

Chase boehringer profil fotoğrafı
Chase boehringer5 ay önce

Super interesting. Been waiting for something like this!

Katyayani Shukla profil fotoğrafı
Katyayani Shukla5 ay önce

Samsung, Superhuman, Dropbox, and Microsoft are already testing integrations. The battle for the memory layer is being decided right now

Renat Gabitov profil fotoğrafı
Renat Gabitov5 ay önce

I need this!

Amira Zairi profil fotoğrafı
Amira Zairi5 ay önce

Signed up for beta 👌

Marco | IA profil fotoğrafı
Marco | IA5 ay önce

This is going to be revolutionary for sure! 🚀

Engramme profil fotoğrafı
Engramme5 ay önce

If you're curious, here are our thoughts on how humanity will change with perfect, infinite memory: Read more about our thoughts on human memory augmentation here:

Don Quijote de la IA profil fotoğrafı
Don Quijote de la IA5 ay önce

It makes sense that someone would do it. Engramme appears to be the first with a new memory architecture.

Sharon Riley profil fotoğrafı
Sharon Riley5 ay önce

Going to sign up for the beta

Kritarth Mittal | Soshals profil fotoğrafı
Kritarth Mittal | Soshals5 ay önce

tbh video felt like a breath of fresh air in the sea of fancy launch video slop lol congrats on the launch :)

Khusboo Tayal profil fotoğrafı
Khusboo Tayal5 ay önce

Is the memory beta open to individual developers or enterprise only?

Engramme profil fotoğrafı
Engramme5 ay önce

We have an ongoing private beta! Please sign up here:

Alejandro Moreno profil fotoğrafı
Alejandro Moreno5 ay önce

What I see is No arxiv paper from Kreiman or Madan on “Large Memory Models” specifically No benchmark numbers (no LOCOMO, no BABILong scores) No latency / recall@k / cost numbers Just hype. Interesting founder raising money. Thats it

Markandey Sharma profil fotoğrafı
Markandey Sharma5 ay önce

Persistent memory is definitely one of the biggest missing pieces in AI today interesting to see Engramme tackling it head-on.

Toha Khan profil fotoğrafı
Toha Khan5 ay önce

In 5 years every app will have a memory layer. Engramme is building the picks and shovels.

Nijol profil fotoğrafı
Nijol5 ay önce

AI finally getting a memory layer—this changes everything.

pgBouncer profil fotoğrafı
pgBouncer5 ay önce

“Solved” is ballsy

Nova IA profil fotoğrafı
Nova IA5 ay önce

Proactive recall across apps sounds like a massive unlock for real productivity.

Anton Rizvanov profil fotoğrafı
Anton Rizvanov5 ay önce

Finally!

Suryansh Tiwari profil fotoğrafı
Suryansh Tiwari5 ay önce

This is going to be revolutionary for sure!

Polanco | IA profil fotoğrafı
Polanco | IA5 ay önce

This is actually interesting.

Al-Shamus profil fotoğrafı
Al-Shamus5 ay önce

This is going to be amazing

Chidanand Tripathi profil fotoğrafı
Chidanand Tripathi5 ay önce

Count me in. The memory pitch alone is brilliant.

Troy profil fotoğrafı
Troy5 ay önce

What makes @EngrammeHQ the trust layer I shoud let allow to ‘handle all of my ideas’? You are not the first to pitch “remember everything” I’ve tried it all Early adopters of: @LimitlessAI Panicked as it SOLD OUT to Meta. so what memory problem do you solve?

ᴍᴜʀᴘʜʏ profil fotoğrafı
ᴍᴜʀᴘʜʏ5 ay önce

I signed up for beta

Arsène Lupin profil fotoğrafı
Arsène Lupin5 ay önce

Memory singularity. Best framing I've heard in months.

Benzer Videolar

RAG might already be becoming obsolete. A month ago, Andrej Karpathy dropped a simple GitHub gist called “LLM Wiki.” Now the comments section looks like the birth of an entirely new AI category. 5000+ stars later, developers are rapidly building: • persistent AI memory systems • self-maintaining knowledge bases • multi-agent research environments • contradiction detection engines • AI-native company operating systems • local-first memory architectures • graph-based reasoning layers • evolving second brains And the craziest part? Most of them were built in DAYS. Because the core idea is insanely powerful: Instead of AI repeatedly retrieving raw chunks like traditional RAG… …the model continuously maintains a living knowledge system. Not temporary context. Persistent synthesis. The shift sounds subtle until you realize what it changes: RAG: retrieve → answer → forget LLM Wiki: ingest → synthesize → evolve That one architectural difference is causing an explosion of experimentation right now. People are already building: • agent memory operating systems • AI-maintained engineering documentation • self-healing knowledge graphs • persistent research environments • conversational memory architectures • contradiction-aware wikis • context compression engines • machine-readable company systems The comments section alone feels like watching an ecosystem form in real time. One developer built deterministic contradiction detection using sheaf cohomology Another built “sleep consolidation” for AI memory systems inspired by human memory formation Another created persistent multi-agent vault conversations Another turned entire repositories into continuously maintained AI wikis Another built local-first memory systems with audit trails, provenance, graph exports, and MCP integration This is the important part: Karpathy didn’t launch a product. He introduced a pattern. And patterns are what create ecosystems. The same way: • transformers created modern AI • RAG created AI retrieval startups • agents created orchestration frameworks LLM Wikis may create persistent AI memory infrastructure. That’s why this moment feels different. For years, AI systems have been stateless. Now developers are trying to build systems that actually accumulate understanding over time. And once knowledge compounds instead of resetting… …the entire interface layer of AI changes. (Link in comments)

Suryansh Tiwari

142,314 görüntüleme • 4 ay önce