正在加载视频...

视频加载失败

The Context Cloud for agents is here. Introducing the new supermemory. A new way to do context, for your agents Everything you need for context - Memory, RAG, Filesystems, Profiles, are now available as blocks you can compose to build something for your use case

97,357 次观看 • 5 个月前 •via X (Twitter)

45 条评论

Dhravya Shah 的头像
Dhravya Shah5 个月前

Try it today (we WILL personally help you improve your agents)

Aiden Bai 的头像
Aiden Bai5 个月前

@supermemory yall got some good video production

Dhravya Shah 的头像
Dhravya Shah5 个月前

@supermemory perks of having a @shardul_mane in the team

Aiden Bai 的头像
Aiden Bai5 个月前

@supermemory @shardul_mane 🐐

Muskan Jain 的头像
Muskan Jain5 个月前

@kushthaker03 @supermemory LFG!!

Dhravya Shah 的头像
Dhravya Shah5 个月前

@kushthaker03 @supermemory yay!

Craig Dennis 的头像
Craig Dennis5 个月前

@supermemory LEGO explainer team! Love it dude!

Dhravya Shah 的头像
Dhravya Shah5 个月前

@supermemory NGL i lowkey copied the cloudflare stack video! a big inspiration

Craig Dennis 的头像
Craig Dennis5 个月前

@supermemory Not copying, you just retrieved it from memory. My stuff is always opensource

nexxel 的头像
nexxel5 个月前

@cneuralnetwork @supermemory this is huge

Yogini Bende 的头像
Yogini Bende5 个月前

@supermemory Lego set for context engineering

Mustafa Nomair 的头像
Mustafa Nomair5 个月前

@supermemory this is so fire 🔥 keep it up bro

Kush 的头像
Kush5 个月前

@supermemory hell yeah

jia 的头像
jia5 个月前

@supermemory LFG

Dhravya Shah 的头像
Dhravya Shah5 个月前

@supermemory YES

Ishika Mittall 的头像
Ishika Mittall5 个月前

@supermemory Lfg

Dhravya Shah 的头像
Dhravya Shah5 个月前

@supermemory ABCDLFG (always be closing deals LETS FUCKING GO)

Ishika Mittall 的头像
Ishika Mittall5 个月前

@supermemory 🫡

Utkarsh Singh 的头像
Utkarsh Singh5 个月前

@supermemory looks promising. splitting those components into blocks could really speed up building customized workflows.

Urjit 的头像
Urjit5 个月前

@supermemory support for cloudflare agents?

Dhravya Shah 的头像
Dhravya Shah5 个月前

@supermemory already supported! Cloudflare agents builds on top of vercel AI sdk if im not wrong, which we have a native sdk for

AMK 的头像
AMK5 个月前

@supermemory W video

Mukesh 的头像
Mukesh5 个月前

@supermemory Can we plug in Pinecone as an external vector store for the RAG/Memory blocks?

Dhravya Shah 的头像
Dhravya Shah5 个月前

@supermemory We have a vector store built into the cloud version! But on self hosted / enterprise versions you can swap out the vector store

Vishal Dubey 的头像
Vishal Dubey5 个月前

@supermemory this looks sick, excited to test it out

Riky 的头像
Riky5 个月前

@nexxeln @supermemory lfgggg

Nikhil Sheoran 的头像
Nikhil Sheoran5 个月前

@supermemory 🔥🔥

Suraj Gaud 的头像
Suraj Gaud5 个月前

@shivamhwp @supermemory time to make a switch, this is fire!

Dhruv 的头像
Dhruv5 个月前

@supermemory And here I was thinking, supermemory was dead but ohhh bouy, what a comeback video. Hope so the product would live up to the hype you made in my mind

Uttaran Nayak 的头像
Uttaran Nayak5 个月前

@supermemory Context is the real moat. I'm building @getalchemyst

abhayy 的头像
abhayy5 个月前

@supermemory and i thought @karpathy second brain would work just fine for this, guess i was wrong

Sahil 的头像
Sahil5 个月前

@supermemory I still remember bro's first video from the terrace starting a challenge to make money online. Great to see how quickly things changed

이상범 的头像
이상범5 个月前

@supermemory i already built this and run this locally

何故 的头像
何故5 个月前

@supermemory This feels like the right abstraction level. The interesting shift is from "memory as retrieval" to "context as runtime substrate" memory files profiles and workflows becoming composable blocks the agent can inhabit instead of tools it occasionally calls.

Ben Dicken 的头像
Ben Dicken5 个月前

@shivamhwp @supermemory incredible ship

Prince ☯ 的头像
Prince ☯5 个月前

@supermemory This is an interesting shift where context is becoming infrastructure. A year ago most people focused on model quality. Now a growing part of the moat seems to be memory, retrieval, identity and orchestration.

Jason傑森 🇭🇰 | 🛠️ 的头像
Jason傑森 🇭🇰 | 🛠️5 个月前

@supermemory 云这种時候記得叫大家起床呢

call me gb 的头像
call me gb5 个月前

@supermemory very nice video

Nucleus AI 的头像
Nucleus AI5 个月前

@supermemory composable context blocks are the right instinct. the harder question is what happens when your memory block contradicts your filesystem block. each retrieves independently. you assembled the pipes. internal consistency across sources is a different problem

Adithya Chaitanya 的头像
Adithya Chaitanya5 个月前

@supermemory Thought this was a farza video at first lol

IndexFox 的头像
IndexFox5 个月前

@supermemory compose-the-stack shape is the right call. opinionated 'agent platforms' break the moment a use case has one weird requirement. blocks for memory + RAG + profiles let builders ship the slice they actually need, not the framework's worldview.

Kate 🐈 的头像
Kate 🐈5 个月前

context is the real bottleneck for agents right now. most people optimize for smarter models when the actual problem is that the agent doesn't know enough about your codebase, your preferences, or what it did yesterday. the composable blocks approach makes sense because every use case needs a different mix of memory types.

Yash Khivasara 的头像
Yash Khivasara5 个月前

@supermemory storing context was never my problem. eviction was. what gets dropped when the window fills, and who decides. does supermemory make that call or do i still have to babysit it

PatyMayoo 的头像
PatyMayoo5 个月前

@supermemory 0xcdfa5bf5abd140e9d1c474c1b46d0fcc091edba3 this token going support you with fees cheers

Wade 的头像
Wade5 个月前

@supermemory Supermemory to the moon!!

相关视频