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Career update: i'm joining supermemory to lead Dev GTM. supermemory is the memory layer for AI products, we got the best public results on AI memory by a wide margin, 95% on the leading benchmarks. my role will be to make it easy for everyone to use. demos, walkthroughs,... show more

Muskan Jain

22,870 subscribers

113,513 次观看 • 3 个月前 •via X (Twitter)

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62 条评论

Dhravya Shah 的头像

Dhravya Shah3 个月前

@supermemory Excited to have you join the team!!!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory 🙌🏻💪🏻

nexxel 的头像

nexxel3 个月前

@supermemory oh wow congrats!

Hardik (🔮) 的头像

Hardik (🔮)3 个月前

@supermemory Damnn but didn't you join smallest AI very recently only

Ishita 的头像

Ishita3 个月前

@supermemory Congratulations ❤️

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youu🥹🥰

Arnav Mehta 的头像

Arnav Mehta3 个月前

@supermemory congrats! big W for the marketing team

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory 🙌🏻🙏🏻

Ayush 的头像

Ayush3 个月前

@supermemory congrats muskan

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youu

Mahesh 的头像

Mahesh3 个月前

@supermemory

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory

Khushi 的头像

Khushi3 个月前

@supermemory congrats! 🎉

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youu

Sona 的头像

Sona3 个月前

@supermemory finally!! congrats 🫶🏻

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youuuuu🥰

aasha 的头像

aasha3 个月前

@supermemory partyyyyy!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Come to me😘

Emily Lai 的头像

Emily Lai3 个月前

@supermemory Congrats!!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thanks Emily🙏🏻🙌🏻

Shardul Mane 的头像

Shardul Mane3 个月前

@supermemory LFGGG welcome to the team Muskan!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory 🙌🏻🤝🏻

Priti 的头像

Priti3 个月前

@supermemory Congratulations Muskan! You're killing it. Love what you all are building!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank you so much!

Bhavyam Arora 的头像

Bhavyam Arora3 个月前

@supermemory Congratulations bro 🥳

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youu

0xneelam.eth 🧚‍♂️ 的头像

0xneelam.eth 🧚‍♂️3 个月前

@supermemory congratulations🩷

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youu!

DefiDevrel.base.eth 的头像

DefiDevrel.base.eth3 个月前

@supermemory Congratulations 🎉

aditya 的头像

aditya3 个月前

@DhravyaShah @supermemory Ayoo congooo

Muskan Jain 的头像

Muskan Jain3 个月前

@DhravyaShah @supermemory Thank youuu

Aman 的头像

Aman3 个月前

@supermemory Congrats!!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thnk youu

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory thanks cutiee

Zaid 的头像

Zaid3 个月前

@sohamdaga22 @supermemory Congrats! 🥳

Muskan Jain 的头像

Muskan Jain3 个月前

@sohamdaga22 @supermemory Thank you

weisser 的头像

weisser3 个月前

@supermemory Welcome!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank you so much🙏🏻❤️‍🔥

eric (GG MODE) 的头像

eric (GG MODE)3 个月前

@supermemory Congrats!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank you!

Abhinav 的头像

Abhinav3 个月前

@supermemory Congrats 🙌

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youu

aniketh 的头像

aniketh3 个月前

@supermemory damnnn congrats you got a goated team , @DhravyaShah is an absolute goat

Naruto11.eth 的头像

Naruto11.eth3 个月前

@supermemory congrats :))

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank you! 🙏🏻

rohit 的头像

rohit3 个月前

@supermemory congrats!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thanks!!

Suved | Web3 Marketing 的头像

Suved | Web3 Marketing3 个月前

@supermemory Congrats

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youu

potato 的头像

potato3 个月前

@supermemory Congratulations @Muskanjain0401 ,onwards and upwards!

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank youuu!

Sukriti 的头像

Sukriti3 个月前

@supermemory Congratulations!! 🥂

Adithya 的头像

Adithya3 个月前

@supermemory huge w

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory 🙌🏻💪🏻❤️‍🔥

Apoorav Vyas 的头像

Apoorav Vyas3 个月前

@supermemory Congrats

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank you so much!

usaman 的头像

usaman3 个月前

@supermemory Big Big Congratulations ❤️

Muskan Jain 的头像

Muskan Jain3 个月前

@usamanganikhan @supermemory Thank you

Manish Sharma 的头像

Manish Sharma3 个月前

@supermemory left within a month ?

jay 的头像

jay3 个月前

@supermemory congratulations!!!

Daavya.btc🐆 的头像

Daavya.btc🐆3 个月前

@supermemory Congrats again🥂🙌🧿

Muskan Jain 的头像

Muskan Jain3 个月前

@supermemory Thank you soo much!!

相关视频

You can now run supermemory locally. Introducing the supermemory local - Fully self-contained. Comes with our graph engine, embedding model, etc. - Run on any machine, with your OpenClaw🦞, hermes, claude, etc. - SDKs to add memory to your agent, or build your company brain.

You can now run supermemory locally. Introducing the supermemory local - Fully self-contained. Comes with our graph engine, embedding model, etc. - Run on any machine, with your OpenClaw🦞, hermes, claude, etc. - SDKs to add memory to your agent, or build your company brain.

Dhravya Shah

679,973 次观看 • 3 个月前

🎉 supermemory plugins are now FREE TO USE! Magical unified memory that is automatic, that works across agents and teams. just do `npx supermemory plugin` to set up. This is powered by a new engine we're working on and many breakthroughs in making the plugins feel magical.

🎉 supermemory plugins are now FREE TO USE! Magical unified memory that is automatic, that works across agents and teams. just do `npx supermemory plugin` to set up. This is powered by a new engine we're working on and many breakthroughs in making the plugins feel magical.

Dhravya Shah

34,545 次观看 • 1 个月前

Everyone wants AI with a bigger memory, we think that's the wrong goal.. We sat down with Soham Daga, AI researcher at supermemory, for a deep dive into how machines actually remember you. what we get into: - why every AI forgets you - why forgetting is the hard part, not remembering - memory that understands time - going past reranking with aggregation - buckets for agent memory - SMFS, cutting tokens by 60% A conversation on the future of context, full episode below!

Everyone wants AI with a bigger memory, we think that's the wrong goal.. We sat down with Soham Daga, AI researcher at supermemory, for a deep dive into how machines actually remember you. what we get into: - why every AI forgets you - why forgetting is the hard part, not remembering - memory that understands time - going past reranking with aggregation - buckets for agent memory - SMFS, cutting tokens by 60% A conversation on the future of context, full episode below!

supermemory

20,600 次观看 • 1 个月前

Tried out stripe projects this week! built a customer support bot with hermes from Nous Research + supermemory. bot remembers every customer across sessions. the piece worth highlighting, Stripe projects ships a hermes skill that lets the agent auto-provision supermemory itself. ask hermes to build the bot, it runs stripe projects add supermemory/memory. stripe creates the supermemory account, syncs the api key to .env, and bills it on your stripe invoice. and supermemory is one of 30+ providers. databases ( Neon Postgres, Supabase), hosting ( Vercel , Cloudflare), auth ( Clerk), search ( Exa), analytics ( PostHog). one CLI for the whole stack.

Tried out stripe projects this week! built a customer support bot with hermes from Nous Research + supermemory. bot remembers every customer across sessions. the piece worth highlighting, Stripe projects ships a hermes skill that lets the agent auto-provision supermemory itself. ask hermes to build the bot, it runs stripe projects add supermemory/memory. stripe creates the supermemory account, syncs the api key to .env, and bills it on your stripe invoice. and supermemory is one of 30+ providers. databases ( Neon Postgres, Supabase), hosting ( Vercel , Cloudflare), auth ( Clerk), search ( Exa), analytics ( PostHog). one CLI for the whole stack.

Muskan Jain

20,335 次观看 • 3 个月前

Introducing Memory 101 🧠 Every ai tool you use is a goldfish. brilliant for one chat, close the tab and it forgets you completely. memory is the most underbuilt layer in ai right now. so we're explaining how it actually works, one episode at a time. coming up: → rag vs memory, why most "ai memory" is just search → the 5 things real memory needs: facts, profiles, graphs, time, forgetting → why good memory has to forget things follow along!

Introducing Memory 101 🧠 Every ai tool you use is a goldfish. brilliant for one chat, close the tab and it forgets you completely. memory is the most underbuilt layer in ai right now. so we're explaining how it actually works, one episode at a time. coming up: → rag vs memory, why most "ai memory" is just search → the 5 things real memory needs: facts, profiles, graphs, time, forgetting → why good memory has to forget things follow along!

supermemory

17,235 次观看 • 2 个月前

He sold a company at 16. Then raised $3M at 19 without a co-founder. Today he gave the whole thing away. supermemory now runs fully local, self-contained, and the binary is open source. Solo Founders Podcast ep 14 is live with Dhravya Shah of Supermemory. 00:49 How a side project became a company 08:57 "Building was my way of doing art" 14:35 Saying no to VCs for 9 months 24:44 Launching Supermemory Local 29:29 Killing his own viral hit, mid-fundraise 46:39 Why ChatGPT "fails" memory benchmarks on purpose 52:57 The co-founder breakup that made him go solo 01:10:19 The case for solo founding

He sold a company at 16. Then raised $3M at 19 without a co-founder. Today he gave the whole thing away. supermemory now runs fully local, self-contained, and the binary is open source. Solo Founders Podcast ep 14 is live with Dhravya Shah of Supermemory. 00:49 How a side project became a company 08:57 "Building was my way of doing art" 14:35 Saying no to VCs for 9 months 24:44 Launching Supermemory Local 29:29 Killing his own viral hit, mid-fundraise 46:39 Why ChatGPT "fails" memory benchmarks on purpose 52:57 The co-founder breakup that made him go solo 01:10:19 The case for solo founding

weisser

139,725 次观看 • 3 个月前

Introducing the all new supermemory 💥 we killed the AI memory lock-in. A universal memory for all the apps you use: - MCP connect to Claude / Cursor / ChatGPT - Graph view of your life - Projects to organize your life free to use. $9/m for first 100 pro subs. demo below

Introducing the all new supermemory 💥 we killed the AI memory lock-in. A universal memory for all the apps you use: - MCP connect to Claude / Cursor / ChatGPT - Graph view of your life - Projects to organize your life free to use. $9/m for first 100 pro subs. demo below

Dhravya Shah

170,604 次观看 • 1 年前

For years, I have been building the perfect knowledge assistant. I mean, that's what supermemory originally launched as! Today, we are relaunching the consumer side of supermemory. Fully powered by the supermemory API. After our Claude code, OpenClaw and other launches blew up to millions of views, it was clear: Consumers WANT their context to be interoperable within models they use. They want their AI to truly understand them, have great memory, and build over time. They want to use this truly wherever they are - or with every AI they use - Claude code, or OpenClaw, or Raycast. They want to bring their memories from chatgpt, claude, twitter bookmarks, and teach their AI, about them. This is your knowledge, and supermemory is the assistant. evolving, understanding, growing with time.

For years, I have been building the perfect knowledge assistant. I mean, that's what supermemory originally launched as! Today, we are relaunching the consumer side of supermemory. Fully powered by the supermemory API. After our Claude code, OpenClaw and other launches blew up to millions of views, it was clear: Consumers WANT their context to be interoperable within models they use. They want their AI to truly understand them, have great memory, and build over time. They want to use this truly wherever they are - or with every AI they use - Claude code, or OpenClaw, or Raycast. They want to bring their memories from chatgpt, claude, twitter bookmarks, and teach their AI, about them. This is your knowledge, and supermemory is the assistant. evolving, understanding, growing with time.

Dhravya Shah

36,660 次观看 • 7 个月前

Introducing Supermemory - an AI hub for all your bookmarks and notes. content you consume often gets lost. put it in your second brain to make use of it. me and my friends have been working on this open source project for months now - but the story is actually crazy 🧵

Introducing Supermemory - an AI hub for all your bookmarks and notes. content you consume often gets lost. put it in your second brain to make use of it. me and my friends have been working on this open source project for months now - but the story is actually crazy 🧵

Dhravya Shah

73,249 次观看 • 2 年前

every AI tweet writer sounds like chatgpt… so i built one that sounds like me with supermemory! it scrapes viral AI twitter every day, rewrites the bangers in my voice, and posts them straight to X. >> the stack: apify scrapes, perplexity writes, and supermemory is the memory layer that makes it actually sound like me. >> one container learns my voice as its own entity, another remembers everything i've ever shipped, so it writes like me and never repeats a take. want it? comment below ↓

every AI tweet writer sounds like chatgpt… so i built one that sounds like me with supermemory! it scrapes viral AI twitter every day, rewrites the bangers in my voice, and posts them straight to X. >> the stack: apify scrapes, perplexity writes, and supermemory is the memory layer that makes it actually sound like me. >> one container learns my voice as its own entity, another remembers everything i've ever shipped, so it writes like me and never repeats a take. want it? comment below ↓

Muskan Jain

15,955 次观看 • 2 个月前

build your own memory... only if: - you can top the benchmarks - want to spend more money - have more time. - want to deal with infrastructure, and not actually build a product but for most people, you should just... use supermemory

build your own memory... only if: - you can top the benchmarks - want to spend more money - have more time. - want to deal with infrastructure, and not actually build a product but for most people, you should just... use supermemory

Dhravya Shah

62,668 次观看 • 8 个月前

Memory for OpenClaw is now Native! Our first OpenClaw Memory Skill was a massive success: 30k+ downloads in a week and 500k+ organic impressions overnight for launch post. But we knew memory needed to be native. On March 21, OpenClaw merged PR #50848, allowing us to go beyond the skill layer and integrate directly into the agent’s context assembly flow. We try to make OpenClaw a truly 24/7 employee capable of complex workflows. The technical setup isn’t the hardest part but the real challenge is giving it a "brain" that remembers exact project details, past decisions, and team changes over time. The Native Memory Plugin is now live on NPM & ClawHub. Here is what it brings to your OpenClaw agents: 👉 Native Integration: Automatically manages a Three-Layer Memory architecture (Context Tree, Workspace Memory, Daily Memory). 👉 Git-like Stateful Memory: Organizes memory into a semantic hierarchy of human-readable, diffable Markdown files. You always get updated knowledge and can actually see and fix what your agent learns. 👉 Top Market Accuracy: Achieves an industry-leading 92.2% retrieval accuracy (LoCoMo & LongMemEval benchmarks), maintaining 90% accuracy even with cheap, lightweight models. 👉 Local-first & Portable: Local-by-default, fully portable for multi-agent teams. 👉 Super Easy Setup

Memory for OpenClaw is now Native! Our first OpenClaw Memory Skill was a massive success: 30k+ downloads in a week and 500k+ organic impressions overnight for launch post. But we knew memory needed to be native. On March 21, OpenClaw merged PR #50848, allowing us to go beyond the skill layer and integrate directly into the agent’s context assembly flow. We try to make OpenClaw a truly 24/7 employee capable of complex workflows. The technical setup isn’t the hardest part but the real challenge is giving it a "brain" that remembers exact project details, past decisions, and team changes over time. The Native Memory Plugin is now live on NPM & ClawHub. Here is what it brings to your OpenClaw agents: 👉 Native Integration: Automatically manages a Three-Layer Memory architecture (Context Tree, Workspace Memory, Daily Memory). 👉 Git-like Stateful Memory: Organizes memory into a semantic hierarchy of human-readable, diffable Markdown files. You always get updated knowledge and can actually see and fix what your agent learns. 👉 Top Market Accuracy: Achieves an industry-leading 92.2% retrieval accuracy (LoCoMo & LongMemEval benchmarks), maintaining 90% accuracy even with cheap, lightweight models. 👉 Local-first & Portable: Local-by-default, fully portable for multi-agent teams. 👉 Super Easy Setup

andy nguyen

169,442 次观看 • 5 个月前

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

New short course: Long-Term Agentic Memory with LangGraph. Learn to build an agent with long-term memory in this course developed in collaboration with taught by its Co-Founder and CEO, Harrison Chase! Personal assistance and productivity tasks have become important use cases for agents. An important feature of an AI assistant, such as a coding or calendar assistant, is its ability to keep improving over time from its experience. Agent memory is the key capability that enables this. To add memory to an agent, you must first figure out what to store and what to retrieve when it is time to use the information. Additionally, you’ll have to decide when to update the stored information. For example, you might update in each iteration loop of the agent or perform updates in the background, with a helper agent. In this course, you will learn a mental framework to build agents with long-term memory. You'll create a useful email assistant that can respond, ignore, and notify using writing, scheduling, and memory-management tools. You’ll develop your agent's memory by adding facts to its memory store, provide examples to learn the user's preferences, and optimize system prompts to evolve instructions based on previous responses. In detail, you’ll: - Learn how the three types of memory--semantic, episodic, and procedural–and the two update mechanisms–via hot path and in the background–apply to your agents. - Build an email agent with writing, scheduling, and availability tools, along with a router that triages incoming email and handles it accordingly by ignoring, responding, or notifying the user. - Add tools to your email agent that allow it to operate on semantic memory by learning facts about the user, storing them in a long-term memory store, and searching over them in future interactions. - Incorporate episodic memory, in the form of few-shot examples, in the triage step of your agents to help them learn and update user preferences. - Add procedural memory as system prompts, optimized with feedback to improve the instructions the agent follows. Learn how to approach memory in agents, and start building agents with long-term memory with LangGraph! Please sign up here:

Andrew Ng

132,058 次观看 • 1 年前

our big bet with WALRUS MEMORY is that memory becomes a fully composable, transactable part of what ai agents need to do in the future and it's going to be an incredibly valuable asset and we've built a primitive that lets you fully own and carry it across every agent you use

our big bet with WALRUS MEMORY is that memory becomes a fully composable, transactable part of what ai agents need to do in the future and it's going to be an incredibly valuable asset and we've built a primitive that lets you fully own and carry it across every agent you use

Adeniyi.sui

26,580 次观看 • 2 个月前

I turned AI agent orchestration into a full fledged game. To start this launch, I’m also hosting a tournament with a growing prize pool (starting at $3k) for the first 24 hours. Two players face off a team of AI agents, armed with strategy prompts - utilizing memory, tool-calling, and inter-agent communication to win. Each agent has a battle memory - they learn and synergize with the playstyle of their commander to produce the best results. I’ve been working on this for the past 2 months, so please check it out, my dms are open for feedback :D Documentation: Project Twitter: aiarena Website:

I turned AI agent orchestration into a full fledged game. To start this launch, I’m also hosting a tournament with a growing prize pool (starting at $3k) for the first 24 hours. Two players face off a team of AI agents, armed with strategy prompts - utilizing memory, tool-calling, and inter-agent communication to win. Each agent has a battle memory - they learn and synergize with the playstyle of their commander to produce the best results. I’ve been working on this for the past 2 months, so please check it out, my dms are open for feedback :D Documentation: Project Twitter: aiarena Website:

𝕱𝖔𝖗𝕷𝖔𝖔𝖕

10,867 次观看 • 5 个月前

Autonomous AI agents can’t afford a memory problem. After OpenClaw, insane numbers of autonomous agents are coming online, but all of them have a memory layer that's breaking. I have been playing around with SureThing these days. It is an autonomous AI agent designed with a native memory layer. → it learns your patterns → integrates with 1000+ apps → fully autonomous They actually benchmarked memory depth. SureThing: 84.8, ChatGPT: 40, OpenClaw: 60. The gap speaks for itself. SureThing is invitation-only. The crazy part is that you have to talk to SureThing agent itself to get the invite code. The onboarding is the product demo. You feel the memory and judgment before you even have an account. Try it here: Partnered with SureThing for this post. Thanks to the team for the support.

Autonomous AI agents can’t afford a memory problem. After OpenClaw, insane numbers of autonomous agents are coming online, but all of them have a memory layer that's breaking. I have been playing around with SureThing these days. It is an autonomous AI agent designed with a native memory layer. → it learns your patterns → integrates with 1000+ apps → fully autonomous They actually benchmarked memory depth. SureThing: 84.8, ChatGPT: 40, OpenClaw: 60. The gap speaks for itself. SureThing is invitation-only. The crazy part is that you have to talk to SureThing agent itself to get the invite code. The onboarding is the product demo. You feel the memory and judgment before you even have an account. Try it here: Partnered with SureThing for this post. Thanks to the team for the support.

Pratham

80,634 次观看 • 7 个月前

We launched our Company Brain!! 🧠 onboarding is a context problem: your first weeks you're not working, you're reconstructing what the team already knows. company brain is that context, queryable and able to act. shared memory for your team, in slack: → answers from the company's own knowledge, grounded and cited → acts in your tools as you, files the ticket and assigns it, with your approval → runs on a permissions graph, so it only reads with your access → chimes in only when it can help → same brain and permissions follow you into cursor and claude code when i joined supermemory, i braced for the onboarding tax. it never came. i just asked the company brain

We launched our Company Brain!! 🧠 onboarding is a context problem: your first weeks you're not working, you're reconstructing what the team already knows. company brain is that context, queryable and able to act. shared memory for your team, in slack: → answers from the company's own knowledge, grounded and cited → acts in your tools as you, files the ticket and assigns it, with your approval → runs on a permissions graph, so it only reads with your access → chimes in only when it can help → same brain and permissions follow you into cursor and claude code when i joined supermemory, i braced for the onboarding tax. it never came. i just asked the company brain

Muskan Jain

43,867 次观看 • 1 个月前

She is 18 built an AI agent with live memory and Anthropic bought it for $2.2M - and at Stanford shared how to repeat it from scratch: 00:40 - how Opus 5 builds an agent with live memory from scratch in 60 minutes 18:44 - the live memory system replaced 500 Anthropic engineers 39:42 - from first agent to $2.2M from Anthropic after watching I gave Opus 5 one prompt - an agent with live memory appeared in an hour I sent an invoice to Anthropic and got a check for $120k. save & watch - the article below shows how to build an AI agent with live memory and sell it to Anthropic for $2.2M.

She is 18 built an AI agent with live memory and Anthropic bought it for $2.2M - and at Stanford shared how to repeat it from scratch: 00:40 - how Opus 5 builds an agent with live memory from scratch in 60 minutes 18:44 - the live memory system replaced 500 Anthropic engineers 39:42 - from first agent to $2.2M from Anthropic after watching I gave Opus 5 one prompt - an agent with live memory appeared in an hour I sent an invoice to Anthropic and got a check for $120k. save & watch - the article below shows how to build an AI agent with live memory and sell it to Anthropic for $2.2M.

Noisy

84,608 次观看 • 5 天前

Micron's Sanjay Mehrotra on memory: "Memory is no longer a component in a system, memory is the strategic infrastructure for AI. It is no longer a commodity, it is a high value. Without memory, you cannot make AI smarter, cannot make it faster, you cannot scale up AI...AI is driving a whole hierarchy of memory requirements from HBM to DRAM to SSDs." Via CNBC $MU $DRAM $EWY $SNDK

Micron's Sanjay Mehrotra on memory: "Memory is no longer a component in a system, memory is the strategic infrastructure for AI. It is no longer a commodity, it is a high value. Without memory, you cannot make AI smarter, cannot make it faster, you cannot scale up AI...AI is driving a whole hierarchy of memory requirements from HBM to DRAM to SSDs." Via CNBC $MU $DRAM $EWY $SNDK

P Equity Research 📰

50,226 次观看 • 1 个月前