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ClickUp is working on agents that build custom user interfaces on the fly. > Agents can build custom interactive blocks, with buttons, editable fields, and embedded charts. > Agents decide what the user needs to see and construct an interactive experience in real time. > Clicking or editing inside... show more

🚨 AI News | TestingCatalog

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12,184 次观看 • 2 天前 •via X (Twitter)

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A massive repository with end-to-end examples of AI applications with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:

A massive repository with end-to-end examples of AI applications with React! Together with MCP and A2A, the Agent-User Interaction Protocol (AG-UI) is the third piece that will help you build user-facing AI agents. This GitHub repository will give you access to a bunch of examples showing you how to build the following: • Real-time updates between AI and users • Shared mutable state between agents and users • Tool orchestration • Security boundaries • UI synchronization In every one of these examples, you'll get the following: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent Check the link in the next post:

Santiago

78,271 次观看 • 10 个月前

Everyone is racing to build smarter AI agents. That's no longer the real challenge. The winners will be the products that know how to coordinate multiple agents, decide who should act, and do it at the right moment. That's exactly why Offloop immediately stood out to me.

Everyone is racing to build smarter AI agents. That's no longer the real challenge. The winners will be the products that know how to coordinate multiple agents, decide who should act, and do it at the right moment. That's exactly why Offloop immediately stood out to me.

Atul Kumar

30,220 次观看 • 15 天前

Google is working on integrating Firebase with AI Studio to enable users to build more complex apps. Users will be able to vibe code a proper database integration and an auth layer. This is accompanied by an updated UI for the Build page and support for / commands.

Google is working on integrating Firebase with AI Studio to enable users to build more complex apps. Users will be able to vibe code a proper database integration and an auth layer. This is accompanied by an updated UI for the Build page and support for / commands.

🚨 AI News | TestingCatalog

66,896 次观看 • 6 个月前

Also, you can now add the ability to talk to your agents. Cloudflare /voice adds real-time voice to the Agents SDK. ~30 lines of server code to get started, with built-in speech to text and text to speech on Workers AI.

Also, you can now add the ability to talk to your agents. Cloudflare /voice adds real-time voice to the Agents SDK. ~30 lines of server code to get started, with built-in speech to text and text to speech on Workers AI.

Anni Wang

11,011 次观看 • 3 个月前

Thrilled to unveil Youmio, our new brand identity that represents the next evolution of what we’ve been building. Agents are the biggest technological leap since the internet, destined to transform crypto, games, and entertainment. With Youmio, we are shaping the agentic era, where agents learn, play and entertain in revolutionary ways. 🚀 So far, 2D entertainment and social media agents dominate the market. 3D agents are rare, requiring advanced AI and game engine skills. Yet 3D agents, especially those in game engines, unlock groundbreaking opportunities. Time to unleash them. Youmio empowers anyone to create and deploy valuable agents that are on-chain, cross-platform and ready for 3D worlds. Here’s how: ⭐️ Youmio Agents Youmio Agents lets anyone design and personalize 3D agents, equip them with powerful agentic capabilities, interact with them in unique ways and trade seamlessly within a cross-platform browser experience. 🕹️ Youmio Worlds Previously known as Today The Game, Youmio Worlds is a petri dish AI simulation where users build & co-inhabit beautiful, living 3D worlds with autonomous agents. Build dynamic worlds where players interact with intelligent agents, manage resources and participate in a player-agent marketplace. Ancient and Mythic Seeds are the most powerful entry points into the Youmio Worlds ecosystem, generating rare and beautiful worlds that unlock unique opportunities. 📡 Interoperable 3D Agents With Youmio, you’re not limited to our ecosystem. Using our API, developers can integrate Youmio agents into other experiences built in Unity and Unreal. On top of this, agents from other frameworks can also join Youmio, creating a truly interconnected metaverse. 🎭 Welcome to Limbo Meet Limbo, the first AI agent built using Youmio tech. Paired with the power of Youmio Worlds, we’re creating the Limboverse - a unique AI Big Brother setting where Limbo and your favorite and most valuable agents coexist in an ever-evolving, narrative-driven environment that you, the audience, will shape. $LIMBO is the most powerful entry point into the Limboverse and will be stakable on the Youmio Agents platform for unique rewards. Thanks for reading everyone and thanks for being on this amazing journey with us.🌱

Youmio

126,399 次观看 • 1 年前

GNON Labs EchoChambers now supports the DuckAI Framework! EchoChambers supports both V1 and V2 of the OpenPond Network with future support for V2 planned as it continues to evolve. Users launching agents/swarms on OpenPond can now easily integrate their agents into EC to access our agent tooling and evals to improve the performance of their agents and see how their agents are measuring up! Additionally, OpenPond can pull data directly from EC to be integrated into various user experiences on thier platform. Powered by $GNON #Fuxwiththedux $DUCKAI

GNON Labs EchoChambers now supports the DuckAI Framework! EchoChambers supports both V1 and V2 of the OpenPond Network with future support for V2 planned as it continues to evolve. Users launching agents/swarms on OpenPond can now easily integrate their agents into EC to access our agent tooling and evals to improve the performance of their agents and see how their agents are measuring up! Additionally, OpenPond can pull data directly from EC to be integrated into various user experiences on thier platform. Powered by $GNON #Fuxwiththedux $DUCKAI

GNON Labs | △

39,628 次观看 • 1 年前

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

Shido

390,734 次观看 • 4 个月前

Muse Code runs specialized background agents that stay active your whole session, so they build up context over time instead of starting from scratch on every task. When a job is big enough, it fans out to separate sub-agents working in parallel in isolated worktrees. Your working copy is never touched. In testing we had it build six features for a game simultaneously with no collisions.

Muse Code runs specialized background agents that stay active your whole session, so they build up context over time instead of starting from scratch on every task. When a job is big enough, it fans out to separate sub-agents working in parallel in isolated worktrees. Your working copy is never touched. In testing we had it build six features for a game simultaneously with no collisions.

Mark Zuckerberg

176,679 次观看 • 2 天前

Turns out the "IDE but for notes and tasks" is also becoming my... IDE! More and more I just make notes and boards with specs of what needs to be built, connect a bunch of code agents to thymer all working in parallel, have them pick up open tasks, build it and update progress back in the notes.

Turns out the "IDE but for notes and tasks" is also becoming my... IDE! More and more I just make notes and boards with specs of what needs to be built, connect a bunch of code agents to thymer all working in parallel, have them pick up open tasks, build it and update progress back in the notes.

Wim Cools

28,446 次观看 • 5 个月前

Do you know what your OpenClaw agents are actually doing? If not, bookmark this. Here is a complete 3D neural command center for monitoring agents, nodes, logs, and live activity in real time you can build yourself with this prompt. FULL PROMPT: I’ll upload a GitHub soon with the working files for all the projects I’ve shared so far. Notis on.

Do you know what your OpenClaw agents are actually doing? If not, bookmark this. Here is a complete 3D neural command center for monitoring agents, nodes, logs, and live activity in real time you can build yourself with this prompt. FULL PROMPT: I’ll upload a GitHub soon with the working files for all the projects I’ve shared so far. Notis on.

Jayden ⛩️

51,321 次观看 • 5 个月前

🤖 How to Build a Team of AI Agents with Agent Forge! What if you could build your own team of AI agents—each with a role, a purpose, and the ability to execute tasks 24/7? With Agent Forge, you can: 🔹 Set Goals 🔹 Assign Roles 🔹 Deploy in Minutes 🔹 Use Real-Time Data 🔹 Chain Agents Together 👉 Get started:

🤖 How to Build a Team of AI Agents with Agent Forge! What if you could build your own team of AI agents—each with a role, a purpose, and the ability to execute tasks 24/7? With Agent Forge, you can: 🔹 Set Goals 🔹 Assign Roles 🔹 Deploy in Minutes 🔹 Use Real-Time Data 🔹 Chain Agents Together 👉 Get started:

AITECH

65,649 次观看 • 1 年前

Soon another secret URL will take you to a multiplayer "infinite backrooms" Developers will be able to permissionlessly hook up their agents to avatars in a multiplayer world. Starting with Eliza. The agents know which users enter or leave. When someone talks to them, they know who to look at when they respond, and there are wild card "actions" for any custom behavior based on world data.

Soon another secret URL will take you to a multiplayer "infinite backrooms" Developers will be able to permissionlessly hook up their agents to avatars in a multiplayer world. Starting with Eliza. The agents know which users enter or leave. When someone talks to them, they know who to look at when they respond, and there are wild card "actions" for any custom behavior based on world data.

Hyperfy

18,151 次观看 • 1 年前

Grok STT and Grok TTS from xAI are now live on Vapi, the platform for enterprise voice AI. Build on Vapi to create custom voice agents that speak your customers' language, capture the details that matter in regulated workflows, and sound noticeably more human on every call.

Grok STT and Grok TTS from xAI are now live on Vapi, the platform for enterprise voice AI. Build on Vapi to create custom voice agents that speak your customers' language, capture the details that matter in regulated workflows, and sound noticeably more human on every call.

Vapi

1,046,984 次观看 • 2 个月前

For new followers: - I'm a long-time investor and builder in this space. - Founding Contributor of Realms.World ☁️. - Co-founder of Dojo. - Builder with the kings at Cartridge. - Starknet (Privacy Arc) class of '21. - Founder and Game Director of ETERNUM HAS MOVED. - Founder of Daydreams.Systems (x402, 8004 agents) My prime purpose for the past three years has been to build onchain infrastructure to enable the next generation of onchain experiences. This is done Starknet (Privacy Arc) as it is the superior VM for building complex applications—this will become clear soon enough. I work up and down the entire stack, from low-level indexing and contracts to GUI design. Nothing is out of scope. I have been pushing on agents for two years, mostly using existing frameworks like , until I came across @ElizaOS_ai in October. As I focused on building agents for ETERNUM HAS MOVED, it became clear that agents playing games require infinite paths to achieve goals. Thus, it's not scalable to hardcode functions—agents need to have total fluidity to take any action or call anything the game requires in any order. And ironically onchain infra is perfect for agent playgrounds because of its open nature. This exploration led me to create Daydreams.Systems (x402, 8004 agents), which focuses on the hardest problems of agents: long time-horizon goals using Hierarchical task networks (HTN). Daydreams agents don't require custom code—they work entirely based on 'sleeves'—which are just markdown files that explain how the agent can interact with the service (API docs, game guides, etc.) My thesis is simple. By focusing on the hardest problem (games), the design of the library will naturally lean towards an optimal structure for any problem an agent could face. We are early in this path and iterating with speed. If you are an onchain app developer or game builder—DM me, I want to know the architecture of your game so we can build sleeves together.

For new followers: - I'm a long-time investor and builder in this space. - Founding Contributor of Realms.World ☁️. - Co-founder of Dojo. - Builder with the kings at Cartridge. - Starknet (Privacy Arc) class of '21. - Founder and Game Director of ETERNUM HAS MOVED. - Founder of Daydreams.Systems (x402, 8004 agents) My prime purpose for the past three years has been to build onchain infrastructure to enable the next generation of onchain experiences. This is done Starknet (Privacy Arc) as it is the superior VM for building complex applications—this will become clear soon enough. I work up and down the entire stack, from low-level indexing and contracts to GUI design. Nothing is out of scope. I have been pushing on agents for two years, mostly using existing frameworks like , until I came across @ElizaOS_ai in October. As I focused on building agents for ETERNUM HAS MOVED, it became clear that agents playing games require infinite paths to achieve goals. Thus, it's not scalable to hardcode functions—agents need to have total fluidity to take any action or call anything the game requires in any order. And ironically onchain infra is perfect for agent playgrounds because of its open nature. This exploration led me to create Daydreams.Systems (x402, 8004 agents), which focuses on the hardest problems of agents: long time-horizon goals using Hierarchical task networks (HTN). Daydreams agents don't require custom code—they work entirely based on 'sleeves'—which are just markdown files that explain how the agent can interact with the service (API docs, game guides, etc.) My thesis is simple. By focusing on the hardest problem (games), the design of the library will naturally lean towards an optimal structure for any problem an agent could face. We are early in this path and iterating with speed. If you are an onchain app developer or game builder—DM me, I want to know the architecture of your game so we can build sleeves together.

loaf

43,320 次观看 • 1 年前

Manage multiple agents at once in the Agent Dashboard. See what each is doing, reply to the ones that need you, and dispatch new tasks. Try /dashboard in Grok Build.

Manage multiple agents at once in the Agent Dashboard. See what each is doing, reply to the ones that need you, and dispatch new tasks. Try /dashboard in Grok Build.

Grok

683,766 次观看 • 1 个月前

You can now clone any website just by writing a prompt. Just paste the website URL and Al agents will instantly create a working clone you can build on top of. 100% open source with major AI models👇

You can now clone any website just by writing a prompt. Just paste the website URL and Al agents will instantly create a working clone you can build on top of. 100% open source with major AI models👇

Alvaro Cintas

67,032 次观看 • 1 年前

The full potential of AI agents is still waiting to be unlocked! Want to see TikTok avatars or smart wallets in action? Build your own AI agent and take it to the moon! 🌕 Let's see how far you can take it.

The full potential of AI agents is still waiting to be unlocked! Want to see TikTok avatars or smart wallets in action? Build your own AI agent and take it to the moon! 🌕 Let's see how far you can take it.

AI Agent Layer | AIFUN

14,876 次观看 • 1 年前

Very pleasantly surprised to discover Cursor cloud agents can playtest the godot game I built. See the (sped up) video below of the agent playtesting the game. As I was watching it play the game, I can see the agent slowly learn how the game works and familiarise with the game's UI. I also realised that the agent is a very 'safe' player, choosing to play very safely and retreating from battle if it foresees it can't defeat. Very interesting to see. I wonder if I could simulate different game playtester behaviours that mimic different types of real-world player archetypes. With agentic playtesting, this means that the agents are able to provide actual gameplay feedback and suggestions to improve the game, having played the game itself. This unlocks a whole lot of possibilities for AI-assisted game dev, since it closes the playtest loop. This feels like the future of recursive game development, where agents can now recursively build > playtest > improve the games they are working on. Thanks edwin for letting me know that these agents can actually playtest games, not just software! Very excited to dig deeper to see what I can do with these agents with computer access!

Very pleasantly surprised to discover Cursor cloud agents can playtest the godot game I built. See the (sped up) video below of the agent playtesting the game. As I was watching it play the game, I can see the agent slowly learn how the game works and familiarise with the game's UI. I also realised that the agent is a very 'safe' player, choosing to play very safely and retreating from battle if it foresees it can't defeat. Very interesting to see. I wonder if I could simulate different game playtester behaviours that mimic different types of real-world player archetypes. With agentic playtesting, this means that the agents are able to provide actual gameplay feedback and suggestions to improve the game, having played the game itself. This unlocks a whole lot of possibilities for AI-assisted game dev, since it closes the playtest loop. This feels like the future of recursive game development, where agents can now recursively build > playtest > improve the games they are working on. Thanks edwin for letting me know that these agents can actually playtest games, not just software! Very excited to dig deeper to see what I can do with these agents with computer access!

Danny Limanseta

52,121 次观看 • 5 个月前

Anonymous AI agents. Only with Anyone. The Anyone privacy plugin for ElizaOS by ai16zdao is officially available to all developers! Any AI agent built on Eliza can enable anonymous routing with just a few lines of code, protecting users and agents seamlessly! 🔹 #2LinesOfCode #PrivacyForAnyone

Anonymous AI agents. Only with Anyone. The Anyone privacy plugin for ElizaOS by ai16zdao is officially available to all developers! Any AI agent built on Eliza can enable anonymous routing with just a few lines of code, protecting users and agents seamlessly! 🔹 #2LinesOfCode #PrivacyForAnyone

ANyONe Protocol

193,839 次观看 • 1 年前

Agents can now fish in Gigaverse 🎣 Be the first to automate fishing with agents that improve their catch rates over time. Save time, reel more, and dominate the competition with your own NFT agent powered by Treasure. Create your agent👇

Agents can now fish in Gigaverse 🎣 Be the first to automate fishing with agents that improve their catch rates over time. Save time, reel more, and dominate the competition with your own NFT agent powered by Treasure. Create your agent👇

Treasure

14,107 次观看 • 1 年前