Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Open sourcing Dynamic Graph Memory by mem0. Memory is fundamental to human reasoning, shaping how we approach tasks and make decisions. At Mem0, we believe that AI agents & apps should reflect this principle. Our Dynamic Graph Memory emulates human memory, advancing AI agents toward more intelligent, human-like reasoning....

taranjeetio's profile picture

Taranjeet

14,290 subscribers

51,129 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

10 Yorum

Yohei profil fotoğrafı
Yohei1 yıl önce

@mem0ai Love this, nice work!

Taranjeet profil fotoğrafı
Taranjeet1 yıl önce

@mem0ai Thanks Yohei. What can we do better?

emre profil fotoğrafı
emre1 yıl önce

@mem0ai great work, congrats

neo profil fotoğrafı
neo1 yıl önce

@mem0ai congrats on launching can you elaborate how it's better vs the previous solutions of using a normal vector db

Bisla profil fotoğrafı
Bisla1 yıl önce

@mem0ai Impressive! The graph feature is incredibly powerful. Thrilled to see you implementing this. Looking forward to exploring its capabilities. 👏🏽

Taranjeet profil fotoğrafı
Taranjeet1 yıl önce

@mem0ai thanks Kunal.

Dami Dina profil fotoğrafı
Dami Dina1 yıl önce

@mem0ai amazing stuff!

Ted Werbel profil fotoğrafı
Ted Werbel1 yıl önce

@mem0ai Have you considered layers of graphs? Like how GraphRAG has communities for abstractions of clustered entities in their base graph.

wondering around with llm profil fotoğrafı
wondering around with llm1 yıl önce

@mem0ai Is this better way of saving things than vectordb? Also, I'm curious why neo4j was chosen

JavaFXpert profil fotoğrafı
JavaFXpert1 yıl önce

@mem0ai This is much needed, Taranjeet!

Benzer Videolar

Memory is what makes us human. It's also what makes AI truly intelligent. mem0 has raised $24M to build the universal memory layer for AI. Thousands of teams in production. 14M downloads. 41K GitHub stars. Intelligence needs memory & we're building it for everyone. More👇
0:56

Memory is what makes us human. It's also what makes AI truly intelligent. mem0 has raised $24M to build the universal memory layer for AI. Thousands of teams in production. 14M downloads. 41K GitHub stars. Intelligence needs memory & we're building it for everyone. More👇

Taranjeet

528,864 görüntüleme • 8 ay önce

Knowledge graphs are insanely good at giving agents human-like memory! Today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. It's built using a real-time knowledge graph. 100% open-source and self-hosted.
10:52

Knowledge graphs are insanely good at giving agents human-like memory! Today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. It's built using a real-time knowledge graph. 100% open-source and self-hosted.

Akshay 🚀

156,446 görüntüleme • 1 yıl önce

knowledge graphs are INSANELY good at giving agents human-like memory! today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. it's built using a real-time knowledge graph. 100% open-source and self-hosted.
10:52

knowledge graphs are INSANELY good at giving agents human-like memory! today, we're building an MCP-powered memory layer that can be shared across all your AI apps like Cursor, Claude Desktop etc. it's built using a real-time knowledge graph. 100% open-source and self-hosted.

Akshay 🚀

57,462 görüntüleme • 9 ay önce

YC S24's mem0 adds memory to AI apps, turning repetitive, stateless interactions into personalized, efficient experiences—helping developers create smarter, more cost-effective AI. Congrats on the launch, Taranjeet and Deshraj Yadav!
1:20

YC S24's mem0 adds memory to AI apps, turning repetitive, stateless interactions into personalized, efficient experiences—helping developers create smarter, more cost-effective AI. Congrats on the launch, Taranjeet and Deshraj Yadav!

Y Combinator

46,611 görüntüleme • 1 yıl önce

Introducing mem0 CLI 🚀 Give your agents memory from the terminal - add, search, and retrieve memory - remember agents + developers's preference - agent-first, JSON schema-driven We built mem0 CLI to help agents remember Get started npm install -g @mem0/cli Open source 👇
0:36

Introducing mem0 CLI 🚀 Give your agents memory from the terminal - add, search, and retrieve memory - remember agents + developers's preference - agent-first, JSON schema-driven We built mem0 CLI to help agents remember Get started npm install -g @mem0/cli Open source 👇

Taranjeet

20,567 görüntüleme • 3 ay önce

LangChain Academy is live! Our first course — Introduction to LangGraph — teaches you the in-and-outs of building a reliable AI agent. In this course, you’ll learn how to: 🛠️ Build agents with LangGraph's graph-based workflows 🔄 Use memory + human-in-the-loop for smarter, self-corrective agents 📚 Create your own AI assistant that can perform knowledge tasks Enroll now for free ➡️ Bring LangChain Academy to your company ➡️
2:36

LangChain Academy is live! Our first course — Introduction to LangGraph — teaches you the in-and-outs of building a reliable AI agent. In this course, you’ll learn how to: 🛠️ Build agents with LangGraph's graph-based workflows 🔄 Use memory + human-in-the-loop for smarter, self-corrective agents 📚 Create your own AI assistant that can perform knowledge tasks Enroll now for free ➡️ Bring LangChain Academy to your company ➡️

LangChain

105,434 görüntüleme • 1 yıl önce

Yesterday, I joined TBPN to talk about what it really means to give AI a memory. And, why that’s becoming the next big moat. We discussed: - Why today’s AI apps are stateless - How memory is quickly becoming the real moat for AI systems - How Mem0 is decoupling memory from models - Why users should be able to own and carry their AI memories across apps - And, how 200 cold emails changed my life🙂 Appreciate John Coogan, Jordi Hays & the TBPN team for having me and for such a thoughtful discussion around the future of AI infrastructure.
7:08

Yesterday, I joined TBPN to talk about what it really means to give AI a memory. And, why that’s becoming the next big moat. We discussed: - Why today’s AI apps are stateless - How memory is quickly becoming the real moat for AI systems - How Mem0 is decoupling memory from models - Why users should be able to own and carry their AI memories across apps - And, how 200 cold emails changed my life🙂 Appreciate John Coogan, Jordi Hays & the TBPN team for having me and for such a thoughtful discussion around the future of AI infrastructure.

Taranjeet

14,881 görüntüleme • 8 ay önce

🚨 KEEP CALM AND AI - AUTONOMOUS AGENTS WITH INFINITE MEMORY We are launching the ability to create arbitrary agents that run on schedule and have access to a persistent and infinite memory The agents will be able to store, retrieve, and update information across sessions and perform repetitive tasks that require persistent memory Another step towards AGI and automating white-collar work 🚀🚀🚀
1:10

🚨 KEEP CALM AND AI - AUTONOMOUS AGENTS WITH INFINITE MEMORY We are launching the ability to create arbitrary agents that run on schedule and have access to a persistent and infinite memory The agents will be able to store, retrieve, and update information across sessions and perform repetitive tasks that require persistent memory Another step towards AGI and automating white-collar work 🚀🚀🚀

Bindu Reddy

12,626 görüntüleme • 5 ay önce

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.
5:50

Today we’re launching the first and only human-like AI agents in the world. Super Agents™ are the first agents with human‑level skills – they DM you, take @ mentions, send emails, manage docs, tasks, and more. Not just tools or API calls, but real skills fine‑tuned for how teams actually work. The first agents with 100% context – fully native in ClickUp and fully synced from other apps. Super Agents see your work the same way that humans do: tasks, docs, schedules, and conversations all in one place. The first agents that learn from human interactions automatically, without any setup or configuration – when you give feedback, they listen and improve how they work. The first agents with human‑level memory for custom agents – historical memory for every interaction, short-term working memory, and even long‑term memory stored in docs you can literally open, inspect, and edit. The first agents that are literally the same as users – our agentic user model is the same as our user data model. This gives you permissions and capabilities that you and your systems are already familiar with. The first infinite agent catalog – where anyone can create and customize agents in minutes, for literally any type of work imaginable. It's the most intuitive way to build agents on the planet. 95% of companies are failing in AI adoption. The reality is that AI isn't meant to be adopted, it's meant to be adapted – to you. Super Agents are automatically personalized to you and your company using proprietary state-of-the-art agent architecture, orchestration, and tooling. Today is the largest step forward we've ever made towards our mission of making people more productive. Maximize human productivity, with ClickUp Super Agents. Available NOW. For everyone.

Zeb Evans

320,554 görüntüleme • 6 ay önce

Building AI agents starts with a memory you can verify. The OriginTrail Decentralized Knowledge Graph (DKG) gives agents a verifiable memory layer built on structured knowledge you can trace back to its source. Brana Rakic explains 💬
0:39

Building AI agents starts with a memory you can verify. The OriginTrail Decentralized Knowledge Graph (DKG) gives agents a verifiable memory layer built on structured knowledge you can trace back to its source. Brana Rakic explains 💬

OriginTrail

25,946 görüntüleme • 4 ay önce

Nimo Infinity 🎉 - Introducing a New AI Browser, Purpose-Built for Productivity. One Canvas for All Your AI Apps and Agents. Nimo We were totally broke in 2024, but we didn’t want to give up. We built Nimo Infinity to rethink the interface for AI. Beautiful design, one canvas for all your apps, and built-in memory and context, all deeply focused on productivity. Comment ‘Nimo Infinity’ 👇 below to get early access with 100 free tasks. Our mission is to build an entirely new AI OS that is secure, intelligent, and interactive. Today, we are taking the first step with an AI Browser. We’ve spent the last 7 years working on Nimo Spatial OS and ultra-portable spatial computers. That experience has shaped how we approach the AI Browser with a completely new interface, purpose-built for AI.
0:56

Nimo Infinity 🎉 - Introducing a New AI Browser, Purpose-Built for Productivity. One Canvas for All Your AI Apps and Agents. Nimo We were totally broke in 2024, but we didn’t want to give up. We built Nimo Infinity to rethink the interface for AI. Beautiful design, one canvas for all your apps, and built-in memory and context, all deeply focused on productivity. Comment ‘Nimo Infinity’ 👇 below to get early access with 100 free tasks. Our mission is to build an entirely new AI OS that is secure, intelligent, and interactive. Today, we are taking the first step with an AI Browser. We’ve spent the last 7 years working on Nimo Spatial OS and ultra-portable spatial computers. That experience has shaped how we approach the AI Browser with a completely new interface, purpose-built for AI.

rohildev

27,345 görüntüleme • 1 yıl önce

I'm excited to share our $200M Series B at a $1B+ valuation to develop AI systems that reason! We believe reasoning is the main blocker to effective AI agents. We train large models tailor-made for reasoning on our ~10K GPU cluster. On top, we prototype agents we use every day.
0:24

I'm excited to share our $200M Series B at a $1B+ valuation to develop AI systems that reason! We believe reasoning is the main blocker to effective AI agents. We train large models tailor-made for reasoning on our ~10K GPU cluster. On top, we prototype agents we use every day.

Kanjun 🐙

1,691,998 görüntüleme • 2 yıl önce

Here’s a demo of our Agentic Memory system, inspired by how our own brain holds information in a 3D spatial space. This feels, natural. Extending this further, we announced the Agentic Memory Protocol on July 15th in SF - which enables memory to be local, encrypted and available to other agents and apps based on your permission-only. We believe this is the future of memory - not owned by any one app, spatial, and always improving. Aaron Levie Andrej Karpathy
1:03

Here’s a demo of our Agentic Memory system, inspired by how our own brain holds information in a 3D spatial space. This feels, natural. Extending this further, we announced the Agentic Memory Protocol on July 15th in SF - which enables memory to be local, encrypted and available to other agents and apps based on your permission-only. We believe this is the future of memory - not owned by any one app, spatial, and always improving. Aaron Levie Andrej Karpathy

Varun

187,489 görüntüleme • 11 ay önce

we built the world’s first self-installing API powered by claude code add memory to your AI agents in 5 mins with Hyperspell (YC F25) no human coding required
1:43

we built the world’s first self-installing API powered by claude code add memory to your AI agents in 5 mins with Hyperspell (YC F25) no human coding required

conor brennan-burke

29,355 görüntüleme • 8 ay önce

I’m Shawn, founder of former researcher at Meta and CS PhD at University of Cambridge. Today we’re launching we built the world’s first Large Visual Memory Model - to give AI human-like visual memories. Why visual memory? AI to date is chat-based, which has great applications, but humans are not only chat based. Humans have visual-memories, and are visually driven. enables AI agents, softwares, and even robots to see and remember the world the way humans do. We just raised an $8m seed round led by Susa Ventures to build the visual-memory layer for AI. Why is so groundbreaking? 👇
4:46

I’m Shawn, founder of former researcher at Meta and CS PhD at University of Cambridge. Today we’re launching we built the world’s first Large Visual Memory Model - to give AI human-like visual memories. Why visual memory? AI to date is chat-based, which has great applications, but humans are not only chat based. Humans have visual-memories, and are visually driven. enables AI agents, softwares, and even robots to see and remember the world the way humans do. We just raised an $8m seed round led by Susa Ventures to build the visual-memory layer for AI. Why is so groundbreaking? 👇

Shawn Shen

1,153,245 görüntüleme • 11 ay önce

CNVS went viral for the wrong reason... the Ui is beautiful, but the CNVS cross agent memory system is world class. ultra simple & based on actual research. talking between multiple agents, codex, cursor, claude, starts to feel like one brain that actually understands your project. CNVS memory is just files agents read on demand and on Mem0's own benchmark, that approach beats Mem0 (74% vs 68.5%). Append-only JSONL every agent reads & writes directly. No DB. No embeddings. No service to be down. memory is scoped per canvas (project) increasing the specificity of the context. NO BLOAT, just clean and on demand. the least complex solution always works best.
0:33

CNVS went viral for the wrong reason... the Ui is beautiful, but the CNVS cross agent memory system is world class. ultra simple & based on actual research. talking between multiple agents, codex, cursor, claude, starts to feel like one brain that actually understands your project. CNVS memory is just files agents read on demand and on Mem0's own benchmark, that approach beats Mem0 (74% vs 68.5%). Append-only JSONL every agent reads & writes directly. No DB. No embeddings. No service to be down. memory is scoped per canvas (project) increasing the specificity of the context. NO BLOAT, just clean and on demand. the least complex solution always works best.

Max Blade

21,077 görüntüleme • 27 gün önce

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
2:02

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 görüntüleme • 11 ay önce

Yann leCun — Current AI systems lack real-world understanding, reasoning, and memory. However, within the next decade or two, AI will surpass human intelligence, gaining common sense, and safety guardrails to stay under control while completing tasks.
0:59

Yann leCun — Current AI systems lack real-world understanding, reasoning, and memory. However, within the next decade or two, AI will surpass human intelligence, gaining common sense, and safety guardrails to stay under control while completing tasks.

Haider.

81,286 görüntüleme • 1 yıl önce

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇
0:59

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 görüntüleme • 5 ay önce