正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

I built the best memory for voice agents while sponsoring Y Combinator hackathon. Introducing: Voice AI + Memory! We built a deep supermemory integration for Pipecat AI, so now even your agents have great memory With user profiles, these are almost-instant latency as well :)

Dhravya Shah

60,131 subscribers

83,207 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

The time for humans as the internet’s primary user is over. We are building software for AI agents. Introducing Ensue - the shared memory layer for agents.

The time for humans as the internet’s primary user is over. We are building software for AI agents. Introducing Ensue - the shared memory layer for agents.

ensue

84,155 次观看 • 11 个月前

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

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

Dhravya Shah

95,856 次观看 • 2 个月前

i built a very fast, virtualized filesystem for ai agents built with Redis, Vercel AI SDK and just-bash agents can search and grep files really fast because it's all in redis memory

i built a very fast, virtualized filesystem for ai agents built with Redis, Vercel AI SDK and just-bash agents can search and grep files really fast because it's all in redis memory

Josh tried coding

72,964 次观看 • 4 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 • 1 个月前

Memory Store (Memory Store) gives your team and AI agents a shared company brain. Your team's knowledge & decisions are scattered across slack, emails, and people's heads. Memory Store turns them into a living wiki for your agents and teammates. Congrats on the launch, Ishita Jindal & Diwank Singh Tomer!

Memory Store (Memory Store) gives your team and AI agents a shared company brain. Your team's knowledge & decisions are scattered across slack, emails, and people's heads. Memory Store turns them into a living wiki for your agents and teammates. Congrats on the launch, Ishita Jindal & Diwank Singh Tomer!

Y Combinator

244,909 次观看 • 2 个月前

1/ Introducing MemSync — Portable AI Memory for Personalization MemSync (MemSync) turns your digital footprint into an AI-friendly database, allowing you to port your context over to other AI apps for instant personalization. Built by the OpenGradient (∇, ∇) team

1/ Introducing MemSync — Portable AI Memory for Personalization MemSync (MemSync) turns your digital footprint into an AI-friendly database, allowing you to port your context over to other AI apps for instant personalization. Built by the OpenGradient (∇, ∇) team

Matthew (∇, ∇)

87,499 次观看 • 1 年前

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

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 次观看 • 9 个月前

We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐

We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐

three.ws

50,934 次观看 • 2 个月前

Introducing Boba Agents, now live with free credits. We built OpenCode for trading - no APIs needed, access real market data for millions of tokens and RWAs. Trade smarter with semantic memory, automations, specialized agents, tool calls, and web search. Built for all models like Kimi 2.5, no setup required.

Introducing Boba Agents, now live with free credits. We built OpenCode for trading - no APIs needed, access real market data for millions of tokens and RWAs. Trade smarter with semantic memory, automations, specialized agents, tool calls, and web search. Built for all models like Kimi 2.5, no setup required.

Boba

16,227 次观看 • 5 个月前

claude code can now write sql almost perfectly. but it still needs to be retaught the same definitions over and over. ontology is how AI agents get 7x faster on your database over time. today we shipped Ontology 3.0 — memory for AI agents, specialized for databases:

claude code can now write sql almost perfectly. but it still needs to be retaught the same definitions over and over. ontology is how AI agents get 7x faster on your database over time. today we shipped Ontology 3.0 — memory for AI agents, specialized for databases:

ethan ding 📊

25,446 次观看 • 2 个月前

Anthropic's Claude team just showed the exact playbook for AI agents with real memory. 24 minutes. free. by people who built Claude. 99% of "AI agents" reset every session. the 1% with memory - they're employees that never sleep. One person + 10 of them = a team that runs 24/7 and improves itself. worth more than any $500 vibe-coding course.

Anthropic's Claude team just showed the exact playbook for AI agents with real memory. 24 minutes. free. by people who built Claude. 99% of "AI agents" reset every session. the 1% with memory - they're employees that never sleep. One person + 10 of them = a team that runs 24/7 and improves itself. worth more than any $500 vibe-coding course.

Movez

12,282 次观看 • 3 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 • 5 个月前

Introducing The first phone carrier built for AI agents, not humans. Agents are making more and more real-world connections, but they’re stuck with infrastructure that isn’t built for them. Saperly changes the game by empowering your agents with a unified phone number for both calling and messaging.

Introducing The first phone carrier built for AI agents, not humans. Agents are making more and more real-world connections, but they’re stuck with infrastructure that isn’t built for them. Saperly changes the game by empowering your agents with a unified phone number for both calling and messaging.

Saperly

264,762 次观看 • 3 个月前

We are launching today Tyran AI - the easiest way to create health agents. Tyran makes it super easy to: - connect any health source - prompt and use AI - export everything directly to your app It's actually surprising what we saw it doing early: - Detect jet lag - Detect recovery - Detect signs of asthma (NOT medical diagnosis, obviously!) - Run multiple experiments with different fitness metrics After the first release, we added memory to understand the user better, and the ability to have multiple agents running in parallel. Memory improvements, speed improvements, and end user access are on the way For the full release, check the Y Combinator launch in the 🧵

We are launching today Tyran AI - the easiest way to create health agents. Tyran makes it super easy to: - connect any health source - prompt and use AI - export everything directly to your app It's actually surprising what we saw it doing early: - Detect jet lag - Detect recovery - Detect signs of asthma (NOT medical diagnosis, obviously!) - Run multiple experiments with different fitness metrics After the first release, we added memory to understand the user better, and the ability to have multiple agents running in parallel. Memory improvements, speed improvements, and end user access are on the way For the full release, check the Y Combinator launch in the 🧵

Kyriakos Eleftheriou

22,881 次观看 • 10 个月前

The barrier to deploying AI agents just hit zero. Akash Agents is a streamlined way to launch your OpenClaw or Hermes agent with a few simple clicks. Deploy instantly. No terminal, YAML, or cloud console required. Just your agent's logic, memory, and capabilities. Hermes by Nous Research ships with 40+ built-in tools, persistent memory, and subagent parallelization, making the experience best-in-class out of the box. → Try it for free at Built by our community member Sandeep Narahari

The barrier to deploying AI agents just hit zero. Akash Agents is a streamlined way to launch your OpenClaw or Hermes agent with a few simple clicks. Deploy instantly. No terminal, YAML, or cloud console required. Just your agent's logic, memory, and capabilities. Hermes by Nous Research ships with 40+ built-in tools, persistent memory, and subagent parallelization, making the experience best-in-class out of the box. → Try it for free at Built by our community member Sandeep Narahari

Akash Network

22,841 次观看 • 4 个月前

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? 👇

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

1,154,093 次观看 • 1 年前

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

Introducing Agnost AI (YC S26): Product Analytics for AI Agents. Analytics was never built for chat & voice. And that is the new interface. Your users' hidden feature requests, bugs & churn hide in conversations with your agent. Analyzing 1M+ daily. Yours are still unread.

Introducing Agnost AI (YC S26): Product Analytics for AI Agents. Analytics was never built for chat & voice. And that is the new interface. Your users' hidden feature requests, bugs & churn hide in conversations with your agent. Analyzing 1M+ daily. Yours are still unread.

shubham

93,886 次观看 • 19 天前

Sat down with Aaron Levie, CEO of Box, to discuss where AI agents are going, how agentic workflows are transforming software, why agents will require much more memory, and how token budgets for enterprises are evolving. Thank you Aaron Levie for taking the time! 00:00 - Intro 01:30 - Where are we in AI 06:25 - The Role of Agents in Software 11:40 - The Role of Memory for Agents 14:45 - TokenMaxxing 24:54 - Why Are There AI Doomers? 31:50 - Aaron's Take on Nvidia

Sat down with Aaron Levie, CEO of Box, to discuss where AI agents are going, how agentic workflows are transforming software, why agents will require much more memory, and how token budgets for enterprises are evolving. Thank you Aaron Levie for taking the time! 00:00 - Intro 01:30 - Where are we in AI 06:25 - The Role of Agents in Software 11:40 - The Role of Memory for Agents 14:45 - TokenMaxxing 24:54 - Why Are There AI Doomers? 31:50 - Aaron's Take on Nvidia

amit

96,221 次观看 • 1 个月前