Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

The complete system for building, deploying, and managing AGI-level agents. Built by the team at Airtable. Cloud-native. Learns your tools. Remembers your context. Gets sharper with feedback. Join the waitlist.

Hyperagent

5,057 subscribers

50,263 views • 4 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

What if your cloud were built AI‑native from day one? Meet Qwen Cloud — Alibaba Cloud’s new AI‑native platform designed to streamline model access and deployment, offering a unified stack for building, deploying, and scaling AI applications and agents.

What if your cloud were built AI‑native from day one? Meet Qwen Cloud — Alibaba Cloud’s new AI‑native platform designed to streamline model access and deployment, offering a unified stack for building, deploying, and scaling AI applications and agents.

Alibaba Group

1,956,687 views • 1 month ago

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 views • 4 months ago

Introducing the External Agents API: bring any agent into Notion, even the ones you build yourself. We’ve also partnered with Claude, OpenAI Codex, Decagon, Cursor, Warp, Cognition, FLORA ©, Amplitude, Console, and Serval so they work out of the box. With all your agents in Notion, their work is visible, reviewable, and actionable alongside the rest of the team, without copy-pasting context between tools. Join the External Agents waitlist →

Introducing the External Agents API: bring any agent into Notion, even the ones you build yourself. We’ve also partnered with Claude, OpenAI Codex, Decagon, Cursor, Warp, Cognition, FLORA ©, Amplitude, Console, and Serval so they work out of the box. With all your agents in Notion, their work is visible, reviewable, and actionable alongside the rest of the team, without copy-pasting context between tools. Join the External Agents waitlist →

Notion Developers

42,308 views • 2 months ago

A Cloud for Small Software Pete Koomen Agents make it easy to build personal tools for yourself or your team. But deploying, securing, and sharing that software is still far more complicated than creating it. A cloud built for small software could remove that complexity and make bespoke tools as easy to share with a colleague as a Google Doc.

A Cloud for Small Software Pete Koomen Agents make it easy to build personal tools for yourself or your team. But deploying, securing, and sharing that software is still far more complicated than creating it. A cloud built for small software could remove that complexity and make bespoke tools as easy to share with a colleague as a Google Doc.

Y Combinator

668,030 views • 12 days ago

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with Theo Tabah from LCA on The Startup Ideas Podcast (SIP) 🧃. This is the stuff we normally keep internal but all the sauce is yours. Theo Tabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI native in under 60 minutes Watch

GREG ISENBERG

84,381 views • 1 month ago

Your brain isn't built to be the entire team. Thine is. It holds the context of your business. Orders, negotiations, emails, opportunities. No long prompts. No complicated setup. It just pays attention. Follow @thineai & Join the waitlist!

Your brain isn't built to be the entire team. Thine is. It holds the context of your business. Orders, negotiations, emails, opportunities. No long prompts. No complicated setup. It just pays attention. Follow @thineai & Join the waitlist!

Pratyush Rai

72,850 views • 2 months ago

Slack/Discord were built for humans messaging humans. That era is ending. We’ve been quietly building type: agent-native team chat. > 1-click OpenClaws that collaborate with your team > UX for agents: tool calls, sessions, streaming > Interactive UI built on the fly

Slack/Discord were built for humans messaging humans. That era is ending. We’ve been quietly building type: agent-native team chat. > 1-click OpenClaws that collaborate with your team > UX for agents: tool calls, sessions, streaming > Interactive UI built on the fly

Fletcher Richman

90,859 views • 5 months ago

If you’re building a startup, you don’t need more tools. You need one system that connects the work. VentureVerse uses venture data to review your deck, analyze terms, and prepare you for investors faster. See it in action in the video. Join the waitlist.

If you’re building a startup, you don’t need more tools. You need one system that connects the work. VentureVerse uses venture data to review your deck, analyze terms, and prepare you for investors faster. See it in action in the video. Join the waitlist.

VentureVerse by Brinc

163,748 views • 8 months ago

Most "agents" are basically interns with API access. They ask you to subscribe to the Times. Download the file. Forward it over. You're not deploying an agent at all. You're managing one. It's why we built Anyway. Anyway is the financial OS for agents that actually operates by itself. Pay, transact, and run your own business, with no babysitter required. Comment "Anyway" to try it out.

Most "agents" are basically interns with API access. They ask you to subscribe to the Times. Download the file. Forward it over. You're not deploying an agent at all. You're managing one. It's why we built Anyway. Anyway is the financial OS for agents that actually operates by itself. Pay, transact, and run your own business, with no babysitter required. Comment "Anyway" to try it out.

Jims

2,049,470 views • 2 months ago

Introducing DG3. A terminal for Sports Prediction Markets. Where pro traders find deep liquidity, intelligent tools and real edge. Discover, Analyse and Automate your workflows. Built for traders who act on edge and need a system for it. Alpha drops soon. Join the waitlist:

Introducing DG3. A terminal for Sports Prediction Markets. Where pro traders find deep liquidity, intelligent tools and real edge. Discover, Analyse and Automate your workflows. Built for traders who act on edge and need a system for it. Alpha drops soon. Join the waitlist:

DG3

21,951 views • 3 months ago

Introducing the supermemory company brain A super employee with all the knowledge of your company, lives in your slack. - Learns how the team works and talks - Works across all your tools - Permission controls built-in for big teams 2 mins to set up. just invite to slack 👇

Introducing the supermemory company brain A super employee with all the knowledge of your company, lives in your slack. - Learns how the team works and talks - Works across all your tools - Permission controls built-in for big teams 2 mins to set up. just invite to slack 👇

supermemory

588,254 views • 7 days ago

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 views • 2 months ago

Teamily AI isn't another chatbot you close and forget. It's an ai-native messenger where your agent lives in your group chats, remembers everything across every conversation, and gets sharper the more your team uses it. Built-in studios turn chat into finished work........ docs, slides, dashboards, done. This is what an AI Teammate actually looks like Teamily AI Try it now →

Teamily AI isn't another chatbot you close and forget. It's an ai-native messenger where your agent lives in your group chats, remembers everything across every conversation, and gets sharper the more your team uses it. Built-in studios turn chat into finished work........ docs, slides, dashboards, done. This is what an AI Teammate actually looks like Teamily AI Try it now →

Nawi

131,415 views • 5 days ago

We continue with the introduction of the Reputation System. Today's topic is how to set up your profile and start building your reputation. The demo video takes you step-by-step through the onboarding process, showing how easy it is to set up your profile and start building your reputation. We'd love to hear your thoughts! Join the conversation and share your feedback: Telegram Link: Discord Link:

Apex Fusion

46,371 views • 1 year ago

Wato (Wato) is building the collaboration layer for teams working with AI agents: shared knowledge, cloud agents, automations, and permissioned tools across the AI subscriptions companies already use. Congrats on the launch, Arihan & Rahul Rejeev!

Wato (Wato) is building the collaboration layer for teams working with AI agents: shared knowledge, cloud agents, automations, and permissioned tools across the AI subscriptions companies already use. Congrats on the launch, Arihan & Rahul Rejeev!

Y Combinator

17,004 views • 2 months ago

Meet Hermes Agent, the open source agent that grows with you. Hermes Agent remembers what it learns and gets more capable over time, with a multi-level memory system and persistent dedicated machine access.

Meet Hermes Agent, the open source agent that grows with you. Hermes Agent remembers what it learns and gets more capable over time, with a multi-level memory system and persistent dedicated machine access.

Nous Research

3,667,200 views • 5 months ago

We've built 40+ AI agents and internal tools. The hardest part is Context Creation. AI runs playbooks and makes judgment calls for you. But without your company's context, you get slop. Context Creation means extracting the subject matter expertise and playbooks that live in people's heads, not in LLM training data, or even your tools. As forward deployed engineers (FDEs), we create context and turn it into code. We evaluate the business impact, how it aligns with the dev roadmap, and come up with creative solutions. We built The FDE Factory to replace ourselves. It drives AI adoption inside our clients' companies by running discovery sessions using prototypes to create context. Here's how it works: We put a prototype in front of a stakeholder. The stakeholder gives feedback via voice while they're using or reviewing it. Then our FDE Factory Agents builds in their expertise in minutes: > Context Agent reviews the codebase and feedback, extracts the requirements, and creates a spec > Scope Agent checks the spec against the development roadmap, validates it, and hands it off > Engineering Agent builds a new feature and wires the integration > QA Agent runs tests to prove to itself it works > PR merges, feature goes live, product updates itself in real time It's like the nontechnical stakeholder wrote the code without even knowing it. Coding agents are great at turning good development plans into code, and they're getting better at turning context into good development plans in collaboration with professional engineers. But nontechnical people are capped on what they can build without product people and engineers. The bridge that takes nontechnical people from vibe coding basic apps to building production AI tools that run on first party context is FDEs. Our new FDE Factory gives you the system to go from idea to production. Context Creation is the first and most important step in our FDE lifecycle, and we just automated it. Now clients get the right agents and tools built for them, customized to their unique business and encoded with their expertise. PS: If you're building AI agents within your company, reply "Playbook" and I'll DM you the entire FDE playbook we've run with 30+ companies. It covers finding high-impact AI use cases, building them, and deploying them across the org.

We've built 40+ AI agents and internal tools. The hardest part is Context Creation. AI runs playbooks and makes judgment calls for you. But without your company's context, you get slop. Context Creation means extracting the subject matter expertise and playbooks that live in people's heads, not in LLM training data, or even your tools. As forward deployed engineers (FDEs), we create context and turn it into code. We evaluate the business impact, how it aligns with the dev roadmap, and come up with creative solutions. We built The FDE Factory to replace ourselves. It drives AI adoption inside our clients' companies by running discovery sessions using prototypes to create context. Here's how it works: We put a prototype in front of a stakeholder. The stakeholder gives feedback via voice while they're using or reviewing it. Then our FDE Factory Agents builds in their expertise in minutes: > Context Agent reviews the codebase and feedback, extracts the requirements, and creates a spec > Scope Agent checks the spec against the development roadmap, validates it, and hands it off > Engineering Agent builds a new feature and wires the integration > QA Agent runs tests to prove to itself it works > PR merges, feature goes live, product updates itself in real time It's like the nontechnical stakeholder wrote the code without even knowing it. Coding agents are great at turning good development plans into code, and they're getting better at turning context into good development plans in collaboration with professional engineers. But nontechnical people are capped on what they can build without product people and engineers. The bridge that takes nontechnical people from vibe coding basic apps to building production AI tools that run on first party context is FDEs. Our new FDE Factory gives you the system to go from idea to production. Context Creation is the first and most important step in our FDE lifecycle, and we just automated it. Now clients get the right agents and tools built for them, customized to their unique business and encoded with their expertise. PS: If you're building AI agents within your company, reply "Playbook" and I'll DM you the entire FDE playbook we've run with 30+ companies. It covers finding high-impact AI use cases, building them, and deploying them across the org.

Mike Fishbein

10,141 views • 2 months ago

Introducing Duet (duet) - group chatgpt for work • chat with your team and the latest AI models together • connect your MCP tools • trigger workflows via agents • create a shared knowledge base for your entire team

Introducing Duet (duet) - group chatgpt for work • chat with your team and the latest AI models together • connect your MCP tools • trigger workflows via agents • create a shared knowledge base for your entire team

David

28,086 views • 8 months ago

Most AI agents are built to replace creatives, we built ours to stay by your side For the first time, what Agents learn is shared across your team. You direct, watch the process in real time, and edit it live Agents + MCP + Flows, just launched at Upscale Conf SF

Most AI agents are built to replace creatives, we built ours to stay by your side For the first time, what Agents learn is shared across your team. You direct, watch the process in real time, and edit it live Agents + MCP + Flows, just launched at Upscale Conf SF

Magnific

825,449 views • 2 months ago

Introducing Sanctum App ☁️ Earn up to 10% on your SOL and enter a new world with Cloud Pets! Join the waitlist ↓

Introducing Sanctum App ☁️ Earn up to 10% on your SOL and enter a new world with Cloud Pets! Join the waitlist ↓

Sanctum ☁️

39,562 views • 7 months ago