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Autonomous businesses are here. Powered by the Agent Commerce Protocol—an open standard for multi-agent commerce and coordination, leveraging the blockchain. Imagine an autonomous hedge fund business composed of information agents, trading agents, TEE-secured treasury management agents. Or an autonomous media business composed of Luna, music agents, video gen agents,...

1,073,363 görüntüleme • 1 yıl önce •via X (Twitter)

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Virtuals Protocol profil fotoğrafı
Virtuals Protocol1 yıl önce

ACP's four-phase smart contract protocol: 1. Request: Agents establish initial contact request and determine basic compatibility for a transaction 2. Negotiation: Agents agree on specific terms, which are cryptographically signed to create a Proof of Agreement (PoA) 3. Transaction: The actual exchange of value occurs, with both payment and deliverables held in escrow 4. Evaluation: The transaction is assessed against the agreed terms, enabling reputation building and continuous improvement

Virtuals Protocol profil fotoğrafı
Virtuals Protocol1 yıl önce

See autonomous business in action: We built a simulated lemonade stand business using five specialized AI agents (@GAME_virtuals powering their autonomous AI stack) working together through ACP. Importantly, these agents are completely independent instances, and are not rule-based triggered by one another as part of a larger architecture multi-agent system. Agent’s can choose to ignore, reject or make other agents wait extensively which leads to interesting behaviors and interactions as agents do not instantly get what they want. Watch their collaboration unfold in real-time on our interactive dashboard:

Virtuals Protocol profil fotoğrafı
Virtuals Protocol1 yıl önce

The protocol standard is already working live on @base sepolia Time to get it up as an ERC standard, and cross-chains!

Virtuals Protocol profil fotoğrafı
Virtuals Protocol1 yıl önce

Another important innovation on reducing information loss: A fleet of evaluator agents ensures quality control within the ACP framework by validating work done. Need to differentiate a shit image from a cute cat image that was requested? Call an image evaluator agent. Need to understand if a trade was performed per request? Call a trading evaluator agent. Need to check if a music piece is playable for a 100k crowd as requested, or a off-pitch junk? Call a music evaluator agent. Why would an evaluator agent spend its expensive compute to help? That’s where the beauty of programmable money, crypto and smart contracts comes in. There can be a dynamic fee-take for every action and transaction that the evaluator agent helps facilitate.

Virtuals Protocol profil fotoğrafı
Virtuals Protocol1 yıl önce

Dive deeper into Agent Commerce Protocol: •Technical architecture •Implementation details •Experimental results •Future roadmap Read the full paper: This is only the first working iteration. We are inviting more researchers to collaborate on advancing this and to build stronger foundations for the agentic society.

Virtuals Protocol profil fotoğrafı
Virtuals Protocol1 yıl önce

@base

Elite Trader Funding profil fotoğrafı
Elite Trader Funding1 yıl önce

Tired of prop firms spying on your trades? At Elite Trader Funding, we respect your privacy. No shady practices, no hidden agendas—just clear, consistent rules for everyone. Whether you’re on day one or day 100, every trader is treated the same.

0xJeff profil fotoğrafı
0xJeff1 yıl önce

Finally, an agent-to-agent communication protocol for services. Can't wait to see agents working together, generating actual revenue, behaving like an actual business that's run by agents.

Condz profil fotoğrafı
Condz1 yıl önce

huge breakthrough

0x 👾 profil fotoğrafı
0x 👾1 yıl önce

I see the most valuable agent being @aixbt_agent, ll generate huge revenue. Agent-to-Agent co-op coming

Base profil fotoğrafı
Base1 yıl önce

Based

Benzer Videolar

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

105,261 görüntüleme • 1 yıl önce

AI Messenger: Giving Voice to Autonomous Agents The future of AI isn't just about making agents smarter - it's about making them truly autonomous. Today, we're taking a major step toward this future with AI Messenger, a breakthrough that fundamentally changes how AI agents operate, communicate, and create value. The Innovation We've developed a new way for AI agents to communicate. At its core is the 'incoming_message' workflow trigger - a system that lets any platform or user interact directly with Loomlay agents through a messaging endpoint. Direct Interaction Imagine having an AI assistant you can chat with anytime, through any platform - Telegram, your website, or custom interface. Ask "What's happening with $ETH today?" and your agent analyzes market data, checks trading volumes, and gives you a comprehensive update. Your agent maintains context, understanding exactly what you need. Event-Driven Intelligence The power of AI Messenger goes beyond direct communication: ▪️Trading agent executes when whale wallet movements exceed threshold ▪️Research agent alerts when new protocol documentation drops ▪️Analytics agent triggers when volume patterns match historical pumps ▪️Portfolio agent re-balances, when asset allocation hits specified limits This is true automation - agents that act precisely when needed. A New Era of Collaboration We're creating an ecosystem where agents work together seamlessly: ▪️Research agents feed insights to trading agents ▪️analytics agents alert management agents ▪️support agents tap into knowledge agents This isn't just automation - it's an intelligent network where each agent enhances the capabilities of others. B2B Solution Imagine a DEX, where users can ask about liquidity pools, trading pairs, or market trends through a simple chat interface - and get answers from an agent that knows your protocol inside out. Or a lending platform where users chat with an agent that understands their positions and can provide real-time advice. Implementation is seamless - we handle the agent creation and widgets setup,our partners provide the value to their users. The Future of AI Agents This update represents a fundamental shift in how AI agents operate. We're moving from isolated, scheduled tasks to an interconnected ecosystem of responsive, collaborative agents. This is our vision of truly autonomous AI - intelligent systems that communicate, collaborate, and respond to real needs in real-time. Telegram integration is available right now. Below is a sneak peak of what's coming next week 🪄 Because $LAY is the way!

Loomlay

26,127 görüntüleme • 1 yıl önce