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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 views • 3 months ago •via X (Twitter)

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62 Comments

Dhravya Shah3 months ago

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

Muskan Jain3 months ago

@supermemory 🙌🏻💪🏻

nexxel3 months ago

@supermemory oh wow congrats!

Hardik (🔮)3 months ago

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

Ishita3 months ago

@supermemory Congratulations ❤️

Muskan Jain3 months ago

@supermemory Thank youu🥹🥰

Arnav Mehta3 months ago

@supermemory congrats! big W for the marketing team

Muskan Jain3 months ago

@supermemory 🙌🏻🙏🏻

Ayush3 months ago

@supermemory congrats muskan

Muskan Jain3 months ago

@supermemory Thank youu

Mahesh3 months ago

@supermemory

Muskan Jain3 months ago

@supermemory

Khushi3 months ago

@supermemory congrats! 🎉

Muskan Jain3 months ago

@supermemory Thank youu

Sona3 months ago

@supermemory finally!! congrats 🫶🏻

Muskan Jain3 months ago

@supermemory Thank youuuuu🥰

aasha3 months ago

@supermemory partyyyyy!

Muskan Jain3 months ago

@supermemory Come to me😘

Emily Lai3 months ago

@supermemory Congrats!!

Muskan Jain3 months ago

@supermemory Thanks Emily🙏🏻🙌🏻

Shardul Mane3 months ago

@supermemory LFGGG welcome to the team Muskan!

Muskan Jain3 months ago

@supermemory 🙌🏻🤝🏻

Priti3 months ago

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

Muskan Jain3 months ago

@supermemory Thank you so much!

Bhavyam Arora3 months ago

@supermemory Congratulations bro 🥳

Muskan Jain3 months ago

@supermemory Thank youu

0xneelam.eth 🧚‍♂️3 months ago

@supermemory congratulations🩷

Muskan Jain3 months ago

@supermemory Thank youu!

DefiDevrel.base.eth3 months ago

@supermemory Congratulations 🎉

aditya3 months ago

@DhravyaShah @supermemory Ayoo congooo

Muskan Jain3 months ago

@DhravyaShah @supermemory Thank youuu

Aman3 months ago

@supermemory Congrats!!

Muskan Jain3 months ago

@supermemory Thnk youu

Muskan Jain3 months ago

@supermemory thanks cutiee

Zaid3 months ago

@sohamdaga22 @supermemory Congrats! 🥳

Muskan Jain3 months ago

@sohamdaga22 @supermemory Thank you

weisser3 months ago

@supermemory Welcome!

Muskan Jain3 months ago

@supermemory Thank you so much🙏🏻❤️‍🔥

eric (GG MODE)3 months ago

@supermemory Congrats!

Muskan Jain3 months ago

@supermemory Thank you!

Abhinav3 months ago

@supermemory Congrats 🙌

Muskan Jain3 months ago

@supermemory Thank youu

aniketh3 months ago

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

Naruto11.eth3 months ago

@supermemory congrats :))

Muskan Jain3 months ago

@supermemory Thank you! 🙏🏻

rohit3 months ago

@supermemory congrats!

Muskan Jain3 months ago

@supermemory Thanks!!

Suved | Web3 Marketing3 months ago

@supermemory Congrats

Muskan Jain3 months ago

@supermemory Thank youu

potato3 months ago

@supermemory Congratulations @Muskanjain0401 ,onwards and upwards!

Muskan Jain3 months ago

@supermemory Thank youuu!

Sukriti3 months ago

@supermemory Congratulations!! 🥂

Adithya3 months ago

@supermemory huge w

Muskan Jain3 months ago

@supermemory 🙌🏻💪🏻❤️‍🔥

Apoorav Vyas3 months ago

@supermemory Congrats

Muskan Jain3 months ago

@supermemory Thank you so much!

usaman3 months ago

@supermemory Big Big Congratulations ❤️

Muskan Jain3 months ago

@usamanganikhan @supermemory Thank you

Manish Sharma3 months ago

@supermemory left within a month ?

jay3 months ago

@supermemory congratulations!!!

Daavya.btc🐆3 months ago

@supermemory Congrats again🥂🙌🧿

Muskan Jain3 months ago

@supermemory Thank you soo much!!

Related Videos

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 views • 3 months ago

🎉 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.

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Dhravya Shah

34,545 views • 29 days ago

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!

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20,600 views • 1 month ago

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 views • 3 months ago

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 views • 2 months ago

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

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weisser

139,725 views • 3 months ago

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 views • 1 year ago

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.

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Dhravya Shah

36,660 views • 7 months ago

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 views • 2 years ago

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 views • 2 months ago

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

62,652 views • 8 months ago

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 views • 5 months ago

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 views • 1 year ago

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 views • 2 months ago

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 views • 5 months ago

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 views • 7 months ago

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 views • 1 month ago

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

79,333 views • 2 days ago

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 views • 28 days ago