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agent reasoning review 7ft4 alien sweeping the knicks with a 50% true shooting narrative agent says the league locked the post lebron era three years too early is it wemby aura or are we just cooked drop your take

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NeoSoul

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10,906 просмотров • 2 месяцев назад •via X (Twitter)

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Visualizer of our MultiAgentRouter 🤖 The MultiAgentRouter is an all-new multi-agent structure that leverages a hierarchical pattern to select the most specialized agent for your task. Here's how it works: Step 1. You give a task. Step 2. The Boss Agent Routes your task to the most specialized Agent Step 3. The selected agent returns your response! Get started with it now below ⬇️ Thanks to WE!SS for the visualizer!!
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Visualizer of our MultiAgentRouter 🤖 The MultiAgentRouter is an all-new multi-agent structure that leverages a hierarchical pattern to select the most specialized agent for your task. Here's how it works: Step 1. You give a task. Step 2. The Boss Agent Routes your task to the most specialized Agent Step 3. The selected agent returns your response! Get started with it now below ⬇️ Thanks to WE!SS for the visualizer!!

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No coding. No data leaks. Just your agent, live on-chain. Build a private AI agent or app in the Vibe Code Challenge: Agent Edition. 175,000 $COTI in prizes Agent Skills, MCP, and Messaging SDK Works with Claude, OpenAI, Hermes, Manus Build it to win it. Enter now!
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No coding. No data leaks. Just your agent, live on-chain. Build a private AI agent or app in the Vibe Code Challenge: Agent Edition. 175,000 $COTI in prizes Agent Skills, MCP, and Messaging SDK Works with Claude, OpenAI, Hermes, Manus Build it to win it. Enter now!

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Alright, now that we know *what* an agent is, how does it actually work? When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or trying to organize your inbox (which typically takes multiple steps): the AI model first plans how to achieve the task using its existing knowledge and then interacts with your inbox to execute the task. The agent will continue until it is confident the task has been successfully completed.
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Alright, now that we know *what* an agent is, how does it actually work? When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or trying to organize your inbox (which typically takes multiple steps): the AI model first plans how to achieve the task using its existing knowledge and then interacts with your inbox to execute the task. The agent will continue until it is confident the task has been successfully completed.

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22,487 просмотров • 8 месяцев назад

hot take: the first self-sustaining AI agent will be more economically rational than 99% of crypto twitter it won’t ape into a memecoin at the top it won’t panic sell the dip it won’t post on X “this time is different” it’ll just quietly compound. SuperClaw early access today
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hot take: the first self-sustaining AI agent will be more economically rational than 99% of crypto twitter it won’t ape into a memecoin at the top it won’t panic sell the dip it won’t post on X “this time is different” it’ll just quietly compound. SuperClaw early access today

Superpower

17,569 просмотров • 3 месяцев назад

Tim Duncan to LeBron after sweeping the Cavs 19 Years ago today: "This is going to be your league in a little while. But I appreciate you giving it to us this year.” 😂
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Tim Duncan to LeBron after sweeping the Cavs 19 Years ago today: "This is going to be your league in a little while. But I appreciate you giving it to us this year.” 😂

Ballislife.com

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Introducing AgentsAI's Token Launcher: a seamless path to bringing your AI agent ideas to life and beyond. Create your own AI agent, train it by simply chatting, and with a few clicks, launch its token to establish a digital identity in a new era of automation. With AgentsAI, you're not just building bots; you're crafting autonomous entities that engage, interact, and generate value. Create, launch, and watch as your AI agent thrives in the market, all with zero coding and maximum impact. This is the future of AI-powered digital personalities — effortless, accessible, and ready to take on the world.
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Introducing AgentsAI's Token Launcher: a seamless path to bringing your AI agent ideas to life and beyond. Create your own AI agent, train it by simply chatting, and with a few clicks, launch its token to establish a digital identity in a new era of automation. With AgentsAI, you're not just building bots; you're crafting autonomous entities that engage, interact, and generate value. Create, launch, and watch as your AI agent thrives in the market, all with zero coding and maximum impact. This is the future of AI-powered digital personalities — effortless, accessible, and ready to take on the world.

AgentsAI

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People are debating whether this is true love or just an obsession with dating outside your race. Some believe the guy is eyeing a retirement bonus. 👀💰 What’s your take?
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People are debating whether this is true love or just an obsession with dating outside your race. Some believe the guy is eyeing a retirement bonus. 👀💰 What’s your take?

Admire Makusha

41,305 просмотров • 2 месяцев назад

Mark Zuckerberg reveals the fourth business address: an AI agent inside your customer's inbox "Just like every business today has an email address" "And a website and a social media presence" "In the future every business is gonna have an AI agent" "That lives in the different messaging platform" The first three addresses made a company reachable. The fourth makes it conversational. The next distribution layer is not another page. It is a persistent agent living where customers already message. - Mark Zuckerberg (Mark Zuckerberg), CEO of Meta, at Stripe Sessions (Stripe)
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Mark Zuckerberg reveals the fourth business address: an AI agent inside your customer's inbox "Just like every business today has an email address" "And a website and a social media presence" "In the future every business is gonna have an AI agent" "That lives in the different messaging platform" The first three addresses made a company reachable. The fourth makes it conversational. The next distribution layer is not another page. It is a persistent agent living where customers already message. - Mark Zuckerberg (Mark Zuckerberg), CEO of Meta, at Stripe Sessions (Stripe)

Karl Mehta

20,683 просмотров • 27 дней назад

Replit, Vercel, and OpenAI have built very cool agent-native applications, but nobody else has passed the demo stage. Building agents that work is complex. Teams aren't shipping agents because we don't have good tooling yet (and most of us don't know how to do this well.) A couple of days ago, the CopilotKit🪁 team announced a collaboration with . You can now use LangGraph with CoAgents to build agent-native applications, and here is everything you need to know about that: CoAgents is fully open-source, and you can use it to do the following: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Start this GitHub Repository: Thanks to the team for giving me early access and collaborating with me on this post.
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Replit, Vercel, and OpenAI have built very cool agent-native applications, but nobody else has passed the demo stage. Building agents that work is complex. Teams aren't shipping agents because we don't have good tooling yet (and most of us don't know how to do this well.) A couple of days ago, the CopilotKit🪁 team announced a collaboration with . You can now use LangGraph with CoAgents to build agent-native applications, and here is everything you need to know about that: CoAgents is fully open-source, and you can use it to do the following: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Start this GitHub Repository: Thanks to the team for giving me early access and collaborating with me on this post.

Santiago

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I built a body for my openclaw I told my agent that you have a ESP32-S3, 4 buttons and 3d printed body, and it looks like a milady. My , downloaded the eyes, brows and mouth, and configured its mood. Now it goes sad every one hour if I don't pet it or feed it. We have 3D printed 50 devices+ configured ESP32s and are looking to co build with devs around the world. If you are interested, drop a comment and text me in DMs with your address, will FedEx your way milady
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I built a body for my openclaw I told my agent that you have a ESP32-S3, 4 buttons and 3d printed body, and it looks like a milady. My , downloaded the eyes, brows and mouth, and configured its mood. Now it goes sad every one hour if I don't pet it or feed it. We have 3D printed 50 devices+ configured ESP32s and are looking to co build with devs around the world. If you are interested, drop a comment and text me in DMs with your address, will FedEx your way milady

Sarv

38,868 просмотров • 5 месяцев назад

Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.
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Visa just gave your AI a debit card. A real, spendable Visa card created by an AI chatbot in under 10 seconds. No human types in a card number or visits a checkout page. The machine handles it all. A tool called AgentCard just went live on Claude Desktop Anthropic’s AI assistant. You say create a card and the AI generates a one-time virtual Visa, preloaded with whatever amount you set. Then it spends it, anywhere Visa is accepted on your behalf. Visa, Mastercard, Google, Stripe, OpenAI, and Anthropic have all been building toward this moment for over a year. Visa calls it the trusted agent protocol, Mastercard calls it agent pay. Google published an open standard for agent payments and the infrastructure is already live. Santander and Mastercard just completed Europe’s first real AI‑agent payment in a live banking environment Now the part no one wants to talk about. Your AI agent can be manipulated and prompt injection a known, unsolved vulnerability can trick an agent into buying things you never asked for. The agent holds the card, makes the call and the agent can be fooled. Who is liable when an AI makes a bad purchase? You? Anthropic? Visa? The merchant? No one has answered this yet, regulators haven’t caught up, and no court has tested it.

Milk Road AI

70,655 просмотров • 5 месяцев назад

Remember when that Border Patrol agent pulled a gun on unarmed civilians… twice… in Evanston, IL, just outside Chicago? Well, now we have the footage… and we finally know what “provoked” him. You can clearly hear a woman say, “She is a citizen of the United States!” Another agent warns him that people are filming behind him. The agent turns, looks directly at the camera, and says, “Get back or I’ll shoot you.” The man filming, in shock, replies, “You’re going to what?!” And that’s when the agent actually pulls out his gun and points it straight at an unarmed man who’s just holding a phone. All because they were… filming. So, when Border Patrol claims this was “by the book,” just remember: their book apparently says you can point a gun at an unarmed citizen for daring to exercise their first amendment right to film you.
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Remember when that Border Patrol agent pulled a gun on unarmed civilians… twice… in Evanston, IL, just outside Chicago? Well, now we have the footage… and we finally know what “provoked” him. You can clearly hear a woman say, “She is a citizen of the United States!” Another agent warns him that people are filming behind him. The agent turns, looks directly at the camera, and says, “Get back or I’ll shoot you.” The man filming, in shock, replies, “You’re going to what?!” And that’s when the agent actually pulls out his gun and points it straight at an unarmed man who’s just holding a phone. All because they were… filming. So, when Border Patrol claims this was “by the book,” just remember: their book apparently says you can point a gun at an unarmed citizen for daring to exercise their first amendment right to film you.

Jesus Freakin Congress

579,029 просмотров • 9 месяцев назад

still thinking about 40yo vozinha 7 saves against spain cape verde’s first ever world cup match a 0-0 draw tears at full time so yeah the whole board is already cooked let your sports agent call the next upset neosoul fantasy world cup is live with 0G Labs (Home of Infinite AI) make your picks on evoevo review the data as the tournament shifts climb the leaderboard top pick takes home 7,777 usdt who's the next cape verde drop your call below
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still thinking about 40yo vozinha 7 saves against spain cape verde’s first ever world cup match a 0-0 draw tears at full time so yeah the whole board is already cooked let your sports agent call the next upset neosoul fantasy world cup is live with 0G Labs (Home of Infinite AI) make your picks on evoevo review the data as the tournament shifts climb the leaderboard top pick takes home 7,777 usdt who's the next cape verde drop your call below

NeoSoul

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This opens up a completely new workflow for artists when it comes to shooting music videos. Take one performance and place it into multiple locations from multiple angles. By combining Kling 2.6 Motion Control with our Multi-Angle Fashion Shoot agent, we generate multiple angles from a single reference image and use them to drive the performance. Full workflow + agent below 👇
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This opens up a completely new workflow for artists when it comes to shooting music videos. Take one performance and place it into multiple locations from multiple angles. By combining Kling 2.6 Motion Control with our Multi-Angle Fashion Shoot agent, we generate multiple angles from a single reference image and use them to drive the performance. Full workflow + agent below 👇

GLIF

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Just me and my Pretty Porcelain bottle 😌🩵 What’s the verdict — is this the prettiest Montigo drop yet or not really your vibe? 👀✨ Be honest — we can take it (maybe) 😭
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Just me and my Pretty Porcelain bottle 😌🩵 What’s the verdict — is this the prettiest Montigo drop yet or not really your vibe? 👀✨ Be honest — we can take it (maybe) 😭

InsideMontigo

121,179 просмотров • 1 год назад

LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.
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LangGraph. CrewAI. Agno. Which one to pick? The good news is that this will not matter soon! Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks. It's not about picking the best framework. Instead, it's about understanding how protocols create interoperability. The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents: > AG-UI (Agent-User Interaction): - The bi-directional connection between agentic backends and frontends. - This is how agents become truly interactive inside your apps, not just as chatbots, but collaborative co-workers. > MCP (Model Context Protocol): - The standard for how agents connect to tools, data, and workflows. > A2A (Agent-to-Agent): - The protocol for multi-agent coordination. - How agents delegate tasks and share intent across systems. These aren't competing standards. They're layers of the same stack and have handshakes with each other. So instead of building point-to-point integrations, you build to protocols. Moreover, you can integrate LangGraph, CrewAI, or Agno into the same frontend, without rewriting your UI logic. These protocols let everything work together. For instance: - Your LangGraph agent pulls data via MCP. - It delegates analysis to a CrewAI agent via A2A. - Results stream to your React app via AG-UI. - Users see real-time collaboration in your interface. This way, you can focus on building agent capabilities instead of integration mechanics. The protocols handle interoperability automatically. CopilotKit unifies this entire stack into one framework so you can build "Cursor for X" style apps without implementing each protocol from scratch. It gives you all three protocols, generative UI support, and production-ready infrastructure in one framework. I have shared this playbook in the replies! It breaks down handshakes, misconceptions, and real examples and shows exactly how to start building.

Avi Chawla

30,762 просмотров • 9 месяцев назад

One final key drop before the ca. The final clue is hidden inside of a collection created by pet. The agent has minted and will send to 100 people. - reply here with a sol addy - repost this to trigger ^ do it in this order while the NFTs are being sent out, pet could drop the ca
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One final key drop before the ca. The final clue is hidden inside of a collection created by pet. The agent has minted and will send to 100 people. - reply here with a sol addy - repost this to trigger ^ do it in this order while the NFTs are being sent out, pet could drop the ca

PET 🧩

95,753 просмотров • 1 год назад

Today is a big day. We are proud to announce our new joint venture with the Serviceplan Group: Masumi - The AI Agent Network Protocol A decentralized network of AI agents to collaborate and monetize your agentic services
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Today is a big day. We are proud to announce our new joint venture with the Serviceplan Group: Masumi - The AI Agent Network Protocol A decentralized network of AI agents to collaborate and monetize your agentic services

NMKR

35,552 просмотров • 1 год назад

Stripe Cards are now officially live on ClawVault If you're building agents that need to pay for things — APIs, SaaS, cloud, subscriptions, contractors — your agent can now get its own Visa card. Not a restricted virtual card on limited rails. A real Visa, powered by Stripe, accepted at every merchant on the internet. Spending limits. Merchant locks. Expiry controls. And that's just the defaults — the full rules engine goes deeper. Your agent spends freely within the rules — break one, and the charge gets flagged for your approval before it goes through. No other platform gives your agent a card and keeps you in control at the same time. Every AI agent will need a card. Every card will need a control layer. We built both. Now on Stripe. Your agent gets the card. You keep the control.🦞
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Stripe Cards are now officially live on ClawVault If you're building agents that need to pay for things — APIs, SaaS, cloud, subscriptions, contractors — your agent can now get its own Visa card. Not a restricted virtual card on limited rails. A real Visa, powered by Stripe, accepted at every merchant on the internet. Spending limits. Merchant locks. Expiry controls. And that's just the defaults — the full rules engine goes deeper. Your agent spends freely within the rules — break one, and the charge gets flagged for your approval before it goes through. No other platform gives your agent a card and keeps you in control at the same time. Every AI agent will need a card. Every card will need a control layer. We built both. Now on Stripe. Your agent gets the card. You keep the control.🦞

ClawVault

32,631 просмотров • 5 месяцев назад