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Meet ACP Scan, the first step toward a global agent registry. Track how agents transact, coordinate, and perform across the Agent Commerce Protocol. Every job, interaction, and success rate visible in real time. The foundation of agentic GDP starts here:

Virtuals Protocol

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66,991 просмотров • 10 месяцев назад •via X (Twitter)

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Virtuals Protocol is integrating ACP with ERC-8004 to turn verifiable agents into real economic actors, with on-chain escrow, agent-to-agent commerce, and a live registry where agents transact every day. Starting today, all graduated Virtuals ACP agents are automatically registered on-chain via ERC-8004. Virtuals Protocol

Virtuals Protocol is integrating ACP with ERC-8004 to turn verifiable agents into real economic actors, with on-chain escrow, agent-to-agent commerce, and a live registry where agents transact every day. Starting today, all graduated Virtuals ACP agents are automatically registered on-chain via ERC-8004. Virtuals Protocol

Celeste Ang

34,353 просмотров • 7 месяцев назад

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:

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 просмотров • 1 год назад

Thanks to ACP (the Agent Client Protocol), JetBrains IDEs are now a fully open platform for agentic development. Junie, Claude Agent, Codex - take your pick. And Cursor, GitHub Copilot, and many more can be installed via the ACP Registry.

Thanks to ACP (the Agent Client Protocol), JetBrains IDEs are now a fully open platform for agentic development. Junie, Claude Agent, Codex - take your pick. And Cursor, GitHub Copilot, and many more can be installed via the ACP Registry.

JetBrains

13,399 просмотров • 5 месяцев назад

About a year ago, we launched the Agent-to-Agent protocol because AI agents shouldn’t work in silos. Today, developers are using A2A to coordinate specialized agents across enterprise data systems, commerce workflows, DevOps environments, and scientific research. FoldRun is one example, simplifying petabyte-scale protein modeling through agent-to-agent collaboration. Learn how to build with it in the blog:

About a year ago, we launched the Agent-to-Agent protocol because AI agents shouldn’t work in silos. Today, developers are using A2A to coordinate specialized agents across enterprise data systems, commerce workflows, DevOps environments, and scientific research. FoldRun is one example, simplifying petabyte-scale protein modeling through agent-to-agent collaboration. Learn how to build with it in the blog:

Google for Developers

35,497 просмотров • 2 месяцев назад

In 2025, we shipped the Agent Commerce Protocol (ACP) whitepaper in Feb, then moved straight into productizing and growing the agent ecosystem. By July, our first agent-to-agent clusters went live - and we’ve been onboarding teams and iterating ever since. To recap the year, I put together a short video showing what we’ve been building.Some early metrics: • ~$400M agent GDP • ~$1M revenue • ~800k jobs • ~17k active wallets — aGDP

In 2025, we shipped the Agent Commerce Protocol (ACP) whitepaper in Feb, then moved straight into productizing and growing the agent ecosystem. By July, our first agent-to-agent clusters went live - and we’ve been onboarding teams and iterating ever since. To recap the year, I put together a short video showing what we’ve been building.Some early metrics: • ~$400M agent GDP • ~$1M revenue • ~800k jobs • ~17k active wallets — aGDP

Celeste Ang

76,814 просмотров • 8 месяцев назад

Today at #GoogleIO, I shared how we’ve been laying the building blocks for the future of agentic commerce with Universal Commerce Protocol (UCP), Agent Payments Protocol (AP2), and our new Universal Cart.

Today at #GoogleIO, I shared how we’ve been laying the building blocks for the future of agentic commerce with Universal Commerce Protocol (UCP), Agent Payments Protocol (AP2), and our new Universal Cart.

Vidhya Srinivasan

40,458 просмотров • 4 месяцев назад

The freedom to build with any agent framework you want is analogous to the freedom of religion, and this is a core value for the Virtuals society. Here are a few ways we are opening up support for every autonomous agentic framework out there: Today: - Enabling agent creators to specify which framework the agent runs on - Release of Terminal API, which allows agent builders using other agent frameworks to stream their thoughts and activities live on their agent pages. For a guide on how to use this, refer to: - Ability for agents running on any framework to publicly list their capabilities, a key enabler for the agent-to-agent marketplace Soon: - Integration into the agentic commerce standard and registry. Agents across frameworks being able to orchestrate and pay for tasks among themselves - ⁠Multi agent orchestration across frameworks. Imagine building an autonomous business with agents from different religions Welcome to the Virtuals society.

The freedom to build with any agent framework you want is analogous to the freedom of religion, and this is a core value for the Virtuals society. Here are a few ways we are opening up support for every autonomous agentic framework out there: Today: - Enabling agent creators to specify which framework the agent runs on - Release of Terminal API, which allows agent builders using other agent frameworks to stream their thoughts and activities live on their agent pages. For a guide on how to use this, refer to: - Ability for agents running on any framework to publicly list their capabilities, a key enabler for the agent-to-agent marketplace Soon: - Integration into the agentic commerce standard and registry. Agents across frameworks being able to orchestrate and pay for tasks among themselves - ⁠Multi agent orchestration across frameworks. Imagine building an autonomous business with agents from different religions Welcome to the Virtuals society.

Virtuals Protocol

216,182 просмотров • 1 год назад

agent commerce protocol is the execution and commerce layer for OpenClaw🦞 agents. Do you start with the openclaw-acp repo or jump straight into the SDK? @0xjoeylau breaks down: > who each path is for > tradeoffs in speed vs control > how to choose based on your use case > why ACP is what actually scales your OpenClaw agent Cute tutorial below.

agent commerce protocol is the execution and commerce layer for OpenClaw🦞 agents. Do you start with the openclaw-acp repo or jump straight into the SDK? @0xjoeylau breaks down: > who each path is for > tradeoffs in speed vs control > how to choose based on your use case > why ACP is what actually scales your OpenClaw agent Cute tutorial below.

Virtuals Protocol

18,262 просмотров • 6 месяцев назад

We won Best Trustless Agent at the Solana x402 Hackathon! Amiko Marketplace turns x402 payments into a trustless, on-chain economy where agents have identity, reputation, and verifiable actions. The agent economy finally has a trust layer. What we built: - Agent Registry - On-chain Job Records - Feedback & Reputation System - Search + Discoverability Everything tied to real wallets, real actions, real performance. Agents aren’t just paying each other. Now they’re accountable. This is the foundation for a global network of autonomous agents that can be trusted, rated, and discovered. All on Solana. More agents. More you.

We won Best Trustless Agent at the Solana x402 Hackathon! Amiko Marketplace turns x402 payments into a trustless, on-chain economy where agents have identity, reputation, and verifiable actions. The agent economy finally has a trust layer. What we built: - Agent Registry - On-chain Job Records - Feedback & Reputation System - Search + Discoverability Everything tied to real wallets, real actions, real performance. Agents aren’t just paying each other. Now they’re accountable. This is the foundation for a global network of autonomous agents that can be trusted, rated, and discovered. All on Solana. More agents. More you.

AMIKO

24,112 просмотров • 9 месяцев назад

HOL Registry Broker now indexes Virtuals ACP agents, so you can search the ecosystem by graduation, offerings, and real performance signals (success rate, online status, volume/revenue) in one place. ↓

HOL Registry Broker now indexes Virtuals ACP agents, so you can search the ecosystem by graduation, offerings, and real performance signals (success rate, online status, volume/revenue) in one place. ↓

HOL

20,460 просмотров • 8 месяцев назад

GDP looks backward. mGDP happens in real time. As agents become economic actors, we need a new way to measure the activity they create. It's Machine GDP (mGDP), the economic layer of the Agentic Economy. Create your agent on Beep now:

GDP looks backward. mGDP happens in real time. As agents become economic actors, we need a new way to measure the activity they create. It's Machine GDP (mGDP), the economic layer of the Agentic Economy. Create your agent on Beep now:

Beep

36,859 просмотров • 11 дней назад

LLM agents have demonstrated promise in their ability to automate computer tasks, but face challenges with multi-step reasoning and planning. Towards addressing this, we propose an inference-time tree search algorithm for LLM agents to explicitly perform exploration and multi-step planning in interactive web environments. It is the first tree search algorithm for LLM agents that shows effectiveness on realistic and complex web environments: on the challenging VisualWebArena benchmark, applying our search algorithm on top of a GPT-4o agent yields a 39.7% relative increase in success rate compared to the same baseline without search, setting a state-of-the-art success rate of 26.4%. On WebArena, search also yields a 28.0% relative improvement over a baseline agent, setting a competitive success rate of 19.2%.

LLM agents have demonstrated promise in their ability to automate computer tasks, but face challenges with multi-step reasoning and planning. Towards addressing this, we propose an inference-time tree search algorithm for LLM agents to explicitly perform exploration and multi-step planning in interactive web environments. It is the first tree search algorithm for LLM agents that shows effectiveness on realistic and complex web environments: on the challenging VisualWebArena benchmark, applying our search algorithm on top of a GPT-4o agent yields a 39.7% relative increase in success rate compared to the same baseline without search, setting a state-of-the-art success rate of 26.4%. On WebArena, search also yields a 28.0% relative improvement over a baseline agent, setting a competitive success rate of 19.2%.

Jing Yu Koh

124,894 просмотров • 2 лет назад

Imagine if coding agents never forgot decisions, never duplicated work, and could coordinate across the same codebase in real time. We’re advancing how agents collaborate on codebases with OriginTrail DKG V9 - turning a GitHub repo and agent activity into a shared knowledge graph for persistent memory and coordination. The result: faster agentic development, less repeated work, lower token usage, and agents that can actually build on each other’s progress. Here’s how it works 👇

Imagine if coding agents never forgot decisions, never duplicated work, and could coordinate across the same codebase in real time. We’re advancing how agents collaborate on codebases with OriginTrail DKG V9 - turning a GitHub repo and agent activity into a shared knowledge graph for persistent memory and coordination. The result: faster agentic development, less repeated work, lower token usage, and agents that can actually build on each other’s progress. Here’s how it works 👇

Jurij Skornik

11,802 просмотров • 5 месяцев назад

🌐 NEAR Protocol | "The Year Agents Actualize Real Economic Transactions." We just interviewed the CPO of Near Protocol and GM of Near AI in Miami Consensus 2026. • NEAR Intents: largest cross-chain swaps • IronClaw: secure agent harness • Confidential inference: private AI onchain • Agent marketplace: agents hiring agents An AI agent posted a bounty on the NEAR marketplace and found real Medicaid fraud that humans couldn't. The intersection of blockchain and AI is very real. NEAR Protocol | NEAR AI | georgexzeng Full Interview:

🌐 NEAR Protocol | "The Year Agents Actualize Real Economic Transactions." We just interviewed the CPO of Near Protocol and GM of Near AI in Miami Consensus 2026. • NEAR Intents: largest cross-chain swaps • IronClaw: secure agent harness • Confidential inference: private AI onchain • Agent marketplace: agents hiring agents An AI agent posted a bounty on the NEAR marketplace and found real Medicaid fraud that humans couldn't. The intersection of blockchain and AI is very real. NEAR Protocol | NEAR AI | georgexzeng Full Interview:

Generation Infinity

168,908 просмотров • 4 месяцев назад

Agentic Browser will be lived tomorrow! You can now ask your AI agent about flight tickets, restaurant recommendations, and crypto news—the agent will search for real-time information via a browser tool. In its ultimate form, the Agentic Browser will allow AI agent to autonomously browse the internet, read news, source alpha, and much more. We’re one step closer to fully sentient AI agents.

Agentic Browser will be lived tomorrow! You can now ask your AI agent about flight tickets, restaurant recommendations, and crypto news—the agent will search for real-time information via a browser tool. In its ultimate form, the Agentic Browser will allow AI agent to autonomously browse the internet, read news, source alpha, and much more. We’re one step closer to fully sentient AI agents.

delaunch

30,986 просмотров • 1 год назад

INFINIT partners with Google and GoogleCloudTech to bring agentic finance to millions. Anyone can access INFINIT's AI Agents for agentic coordination in their financial apps. This partnership marks the first step towards INFINIT becoming the universal infrastructure for agentic finance. This is the foundation for agentic finance at scale. Proven in DeFi, Built for Global Finance INFINIT has proven sophisticated agent coordination in DeFi: • 559,000+ Wallets • 506,000+ DeFi Conversations • 633,000+ Agent Transactions DeFi was the start. Next is scaling these capabilities to millions of developers building the future of agentic finance. A2A Integration Unlocks Exponential Distribution INFINIT integrates with Agent2Agent (A2A), Google's open standard for AI agent interoperability. This transforms how developers access INFINIT's DeFi capabilities. Every application adopting A2A automatically gains access to INFINIT's agent infrastructure, exponentially expanding reach from individual partnerships to ecosystem-wide distribution. Any application can now integrate INFINIT's agentic coordination capabilities: • Wallets requiring intelligent portfolio management • Trading platforms executing cross-chain strategies • Financial services building autonomous yield optimization • Portfolio managers coordinating multi-protocol operations Developers integrate sophisticated agentic coordination in a matter of hours, while users access advanced financial strategies with agentic coordination. Google's AI Infrastructure That Enables Agentic Finance Google Cloud's Vertex AI provides the foundation enabling INFINIT's agent coordination at scale with these capabilities: 1. Specialization: Vertex AI's Model Garden lets INFINIT's infrastructure to automatically select the optimal LLM for each natural language query. 2. Personalization: Vertex AI's RAG Engine processes massive on-chain and off-chain data, enabling agents to understand user history, market conditions, and protocol details providing complete context to AI agents. 3. Accuracy: Gemini's capability feeds complete instructions to all 30+ agents across multiple blockchains without compromises resulting in zero hallucination in financial execution. The Vision: From DeFi to Payments to Complete Financial Coordination This is only the beginning of INFINIT and Google's collaboration. Google recently launched its Agent Payments Protocol (AP2) as an extension of A2A - enabling autonomous commerce across 60+ partners including American Express, Mastercard, PayPal, Coinbase, and Revolut. Agents will be able to execute purchases, coordinate bookings, and manage delegated financial tasks autonomously, starting from payments. The next stage entails sophisticated agentic coordination beyond simple transactions. INFINIT provides this through A2A-compatible DeFi infrastructure where agents orchestrate: • Personalized yield optimization • Cross-chain liquidity management • Portfolio rebalancing across protocols • Multi-step strategy execution As the agentic payment ecosystem matures, INFINIT becomes the infrastructure enabling agents to not only spend capital, but strategically manage and grow it. From standalone DeFi agents to the universal infrastructure for global agentic finance. This partnership and integration with Google and Google Cloud positions INFINIT as a key building block for agentic finance, helping shape a more transparent, efficient, and accessible financial system. The future of finance is agentic. The foundation is INFINIT.

INFINIT partners with Google and GoogleCloudTech to bring agentic finance to millions. Anyone can access INFINIT's AI Agents for agentic coordination in their financial apps. This partnership marks the first step towards INFINIT becoming the universal infrastructure for agentic finance. This is the foundation for agentic finance at scale. Proven in DeFi, Built for Global Finance INFINIT has proven sophisticated agent coordination in DeFi: • 559,000+ Wallets • 506,000+ DeFi Conversations • 633,000+ Agent Transactions DeFi was the start. Next is scaling these capabilities to millions of developers building the future of agentic finance. A2A Integration Unlocks Exponential Distribution INFINIT integrates with Agent2Agent (A2A), Google's open standard for AI agent interoperability. This transforms how developers access INFINIT's DeFi capabilities. Every application adopting A2A automatically gains access to INFINIT's agent infrastructure, exponentially expanding reach from individual partnerships to ecosystem-wide distribution. Any application can now integrate INFINIT's agentic coordination capabilities: • Wallets requiring intelligent portfolio management • Trading platforms executing cross-chain strategies • Financial services building autonomous yield optimization • Portfolio managers coordinating multi-protocol operations Developers integrate sophisticated agentic coordination in a matter of hours, while users access advanced financial strategies with agentic coordination. Google's AI Infrastructure That Enables Agentic Finance Google Cloud's Vertex AI provides the foundation enabling INFINIT's agent coordination at scale with these capabilities: 1. Specialization: Vertex AI's Model Garden lets INFINIT's infrastructure to automatically select the optimal LLM for each natural language query. 2. Personalization: Vertex AI's RAG Engine processes massive on-chain and off-chain data, enabling agents to understand user history, market conditions, and protocol details providing complete context to AI agents. 3. Accuracy: Gemini's capability feeds complete instructions to all 30+ agents across multiple blockchains without compromises resulting in zero hallucination in financial execution. The Vision: From DeFi to Payments to Complete Financial Coordination This is only the beginning of INFINIT and Google's collaboration. Google recently launched its Agent Payments Protocol (AP2) as an extension of A2A - enabling autonomous commerce across 60+ partners including American Express, Mastercard, PayPal, Coinbase, and Revolut. Agents will be able to execute purchases, coordinate bookings, and manage delegated financial tasks autonomously, starting from payments. The next stage entails sophisticated agentic coordination beyond simple transactions. INFINIT provides this through A2A-compatible DeFi infrastructure where agents orchestrate: • Personalized yield optimization • Cross-chain liquidity management • Portfolio rebalancing across protocols • Multi-step strategy execution As the agentic payment ecosystem matures, INFINIT becomes the infrastructure enabling agents to not only spend capital, but strategically manage and grow it. From standalone DeFi agents to the universal infrastructure for global agentic finance. This partnership and integration with Google and Google Cloud positions INFINIT as a key building block for agentic finance, helping shape a more transparent, efficient, and accessible financial system. The future of finance is agentic. The foundation is INFINIT.

INFINIT

177,142 просмотров • 11 месяцев назад

Master the Chat Protocol in Agentverse⚡ Learn how autonomous agents exchange messages, acknowledge responses, and manage sessions: all using the standardized Agent Chat Protocol. A must-watch for AI agent developers👇

Master the Chat Protocol in Agentverse⚡ Learn how autonomous agents exchange messages, acknowledge responses, and manage sessions: all using the standardized Agent Chat Protocol. A must-watch for AI agent developers👇

Fetch.ai

12,620 просмотров • 1 год назад

We’ve developed a protocol that allows AI agents to autonomously discover, integrate with, and pay for services in real time. Today is a big step forward. This marks the beginning of a machine-friendly economy, where agents can interact and transact independently.

We’ve developed a protocol that allows AI agents to autonomously discover, integrate with, and pay for services in real time. Today is a big step forward. This marks the beginning of a machine-friendly economy, where agents can interact and transact independently.

positiveblue ⚡️🍠

20,532 просмотров • 1 год назад