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"Agents should have an identity. We hope our protocol doesn't just become a provider, but can also invest in the agent. We need identity and reputation system to annotate each agent." We had the amazing Yi (Founder and CEO Codatta) join our latest episode of AI on AIR hosted...

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KITE AI

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The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️
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AI agents are about to have the same problem websites had early on: How do you know what’s real, where to find it, and whether you can trust it? HOL and GoDaddy are leading a meetup on why agent identity is becoming infrastructure, hosted by LFDT. Link in the next post...

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GM Crypto Trenches, Today, Art Meets Innovation: My 3-Day Journey with Kite AI 🎨🪁 They say art is how we express what words can’t, and for me, Kite AI isn’t just a project. It’s an inspiration. Over the past three days, I poured my heart into creating a hand painted mural in doodle style, a piece that celebrates the spirit of Kite AI and the vision it represents. From mixing my own paints to priming the walls to sketching and coloring each line, every step was a dialogue between creativity and purpose. It wasn’t easy. Between the long hours and not feeling my best, I still kept going because I truly believe in what Kite AI stands for: a world where intelligence, identity, and innovation connect. This mural isn’t just art on a wall. It’s a story of dedication, belief, and the beauty of building something bigger than yourself. To everyone pushing boundaries in tech and creativity, this one’s for you. To KITE AI, thank you for inspiring me to turn vision into color. 🪁💫 What just happened in KITE AI lately? GoKiteAI just secured investment from Coinbase Ventures 🛡️, joining Paypal Ventures and General Catalyst in backing the future of autonomous AI payments. With Kite now natively integrated with the X402 Agent Payment Standard, AI agents can send, receive, and reconcile payments autonomously, the foundation of the coming agentic economy. I painted this mural to show what conviction looks like, and I’m proud to stand behind a project building the rails for the future. Who are the masterminds behind this great project? Get familiar with them! Project page KITE AI CEO Chi Zhang Co Founder Scott Shi - e/acc Project's CH page KITE AI 中文 Ecosystem and Community page Kite AI Community and Ecosystem Foundation page KITE Foundation Ecosystem product lead Henry Lee So many others can be found on thier page.
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🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

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The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.

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🤖 Instead of switching between dozens of apps, AI agents may soon handle everything—from booking flights and ordering groceries to managing subscriptions and making payments. . The real challenge isn't AI capability anymore. . It's building a financial system that allows AI agents to act securely, with identity, permissions, and trusted payment infrastructure. . In the latest episode of AI-VOLUTION The Series 2026, Henry Lee, Head of Blockchain Product & Infrastructure at KITE AI, explains why the next generation of AI won't just need smarter models—it will need a new financial infrastructure. . ⚡ Instant settlement ⚡ Trusted agent identity ⚡ Permissioned payments ⚡ Governance and spending controls . 🎥 Watch the full episode: #AIVOLUTIONTHESERIES2026 #SCB10X #KiteAI #AIAgents #AgenticAI #AgenticCommerce #DigitalInfrastructure #Blockchain
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🤖 Instead of switching between dozens of apps, AI agents may soon handle everything—from booking flights and ordering groceries to managing subscriptions and making payments. . The real challenge isn't AI capability anymore. . It's building a financial system that allows AI agents to act securely, with identity, permissions, and trusted payment infrastructure. . In the latest episode of AI-VOLUTION The Series 2026, Henry Lee, Head of Blockchain Product & Infrastructure at KITE AI, explains why the next generation of AI won't just need smarter models—it will need a new financial infrastructure. . ⚡ Instant settlement ⚡ Trusted agent identity ⚡ Permissioned payments ⚡ Governance and spending controls . 🎥 Watch the full episode: #AIVOLUTIONTHESERIES2026 #SCB10X #KiteAI #AIAgents #AgenticAI #AgenticCommerce #DigitalInfrastructure #Blockchain

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I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.
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I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

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We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.
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We're winning the AI browser wars, and we're not even trying. Our mission isn't to build a browser. We're an agent company, not a browser company. We've seen firsthand how teams struggle to get started with AI. The tools they tried are too complex and lack the context you need. We decided to build a browser since it's already the tool you work in. We all know how to use a browser. You can pick up Strawberry and start using AI agents from day one. By building a browser we are also positioning ourselves to build towards the internet of the future. An internet where trillions of agents will be communicating with each other. This is the biggest opportunity of our lifetime. But someone has to make sure it is safe, effective and accessible to teams across the world. That is our mission.

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That’s a wrap on Web3 Amsterdam! 🎤 🇳🇱 During an insightful panel session, Our CMO, Sharon Sciammas, discussed the risks of AI agents and how decentralization can keep them in check ✅ We can't wait to share more about upcoming AIVM and AI Agent releases from ChainGPT!

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Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,950 Aufrufe • vor 1 Jahr

Wild that 51% of online traffic today are bots with no identity and no accountability. It’s like wild west for non-human actors. And it means to interact online safely, we need to prove the identity and actions of AI agents, who they represent, and how they are engaging, Our solution is KYA (know your agent), as expressed by Billions co-founder and CEO Evin McMullen evin at Consensus Hong Kong.
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Wild that 51% of online traffic today are bots with no identity and no accountability. It’s like wild west for non-human actors. And it means to interact online safely, we need to prove the identity and actions of AI agents, who they represent, and how they are engaging, Our solution is KYA (know your agent), as expressed by Billions co-founder and CEO Evin McMullen evin at Consensus Hong Kong.

Billions

44,097 Aufrufe • vor 6 Monaten

Aaron Levie is one of the greats. He’s been the co-founder and CEO of Box for 20 years, of which public CEO for 10. And he shows no signs of slowing down, as one of the most active CEOs thinking about how AI agents will shape enterprise software. In our Greylock Partners Change Agents, Aaron and I discussed the question: happens when SaaS is no longer built for humans, but for a much larger scale of agents and humans orchestrating those agents? A few of my favorite topics from the episode: - Why 90%+ of enterprise data has gone unused to date and how agents finally make it accessible - Why SaaS categories won’t disappear, but will be rebuilt around agent orchestration layers - Why the system of record doesn't lose importance, but gains importance the enable agents - How abundance (not labor replacement) is the real shift agents bring to knowledge work - And the real moat in the agent era may be neither the model nor the interface but the workflow memory the agent accumulates over time Aaron has one of the clearest, most grounded takes on where agents for the enterprise can go and what happens to traditional enterprise SaaS. Full episode below:
58:24

Aaron Levie is one of the greats. He’s been the co-founder and CEO of Box for 20 years, of which public CEO for 10. And he shows no signs of slowing down, as one of the most active CEOs thinking about how AI agents will shape enterprise software. In our Greylock Partners Change Agents, Aaron and I discussed the question: happens when SaaS is no longer built for humans, but for a much larger scale of agents and humans orchestrating those agents? A few of my favorite topics from the episode: - Why 90%+ of enterprise data has gone unused to date and how agents finally make it accessible - Why SaaS categories won’t disappear, but will be rebuilt around agent orchestration layers - Why the system of record doesn't lose importance, but gains importance the enable agents - How abundance (not labor replacement) is the real shift agents bring to knowledge work - And the real moat in the agent era may be neither the model nor the interface but the workflow memory the agent accumulates over time Aaron has one of the clearest, most grounded takes on where agents for the enterprise can go and what happens to traditional enterprise SaaS. Full episode below:

Corinne Marie Riley

43,790 Aufrufe • vor 8 Monaten

“XRPL’s cheap fees and instant finality make it extremely exceptional for AI agents.” - Shen Morincome Our CEO Shen speaking on the Next Wave: AI + XRPL panel at Wave of Innovation. AI agents trade 24/7 and far more frequently than humans. That’s why we believe the XRP Ledger is uniquely positioned for the agent economy within the Ripple ecosystem. Gen3 Labs is building for that future.
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“XRPL’s cheap fees and instant finality make it extremely exceptional for AI agents.” - Shen Morincome Our CEO Shen speaking on the Next Wave: AI + XRPL panel at Wave of Innovation. AI agents trade 24/7 and far more frequently than humans. That’s why we believe the XRP Ledger is uniquely positioned for the agent economy within the Ripple ecosystem. Gen3 Labs is building for that future.

Gen3

30,652 Aufrufe • vor 5 Monaten

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:
2:49

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,343 Aufrufe • vor 1 Jahr

AI agents won’t just assist us, they’ll become our primary partners in how we work. Aidan Gomez, Cofounder and CEO of Cohere, shares his perspective on the future of AI-driven productivity and why open collaboration is essential for building what’s next. #AdvancingAI
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AI agents won’t just assist us, they’ll become our primary partners in how we work. Aidan Gomez, Cofounder and CEO of Cohere, shares his perspective on the future of AI-driven productivity and why open collaboration is essential for building what’s next. #AdvancingAI

AMD

53,591 Aufrufe • vor 1 Jahr