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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👇

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Fetch.ai

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12,620 görüntüleme • 1 yıl önce •via X (Twitter)

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orhan profil fotoğrafı
orhan1 yıl önce

The prices of these projects and those of Fet's biggest supporters do not match, as if there is a fraud going on.

Ethereum Daily profil fotoğrafı
Ethereum Daily1 yıl önce

@fetch_ai been quietly printing gains

MightyBot profil fotoğrafı
MightyBot1 yıl önce

🧠 Unified Search. Smarter Meetings. Effortless CRM. MightyBot is your AI agent platform for seamless workflows—record meetings, automate CRM updates, and find answers across apps in seconds. 🌟 Focus on what matters. We'll handle the grind.

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⚡Check out how SimpleStock, a project by Fetch.ai Innovation Lab, uses Agentverse and ASI-1 Mini to transform investment analysis. SimpleStock combines: > Agents on Agentverse > ASI-1 Mini’s reasoning and execution > Chat protocol for real-time agent coordination The result: Seamless stock insights, portfolio analysis, price predictions - all autonomously powered. Watch the full walkthrough here 👇
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⚡Check out how SimpleStock, a project by Fetch.ai Innovation Lab, uses Agentverse and ASI-1 Mini to transform investment analysis. SimpleStock combines: > Agents on Agentverse > ASI-1 Mini’s reasoning and execution > Chat protocol for real-time agent coordination The result: Seamless stock insights, portfolio analysis, price predictions - all autonomously powered. Watch the full walkthrough here 👇

Fetch.ai

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1/ Introducing Agent Protocol: the payment stack for AI agents AI agents don’t have a SSN. They can’t use our human banking system. AI agents will use crypto. Agent Protocol provides the infra and token ($AGENT) that the AI agent economy will run on.
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1/ Introducing Agent Protocol: the payment stack for AI agents AI agents don’t have a SSN. They can’t use our human banking system. AI agents will use crypto. Agent Protocol provides the infra and token ($AGENT) that the AI agent economy will run on.

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⚡ Welcome to the agent economy. TransactAI is live on Agentverse - an autonomous payment agent built for the new machine economy. > Agent registration > Off-chain transfers > Smart escrows > On-chain withdrawals - all via agent-to-agent messages. Watch a quick walkthrough to get started 👇
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⚡ Welcome to the agent economy. TransactAI is live on Agentverse - an autonomous payment agent built for the new machine economy. > Agent registration > Off-chain transfers > Smart escrows > On-chain withdrawals - all via agent-to-agent messages. Watch a quick walkthrough to get started 👇

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Talk to your agent. It talks to the world.⚡ See how a developer built an autonomous AI agent that sends real emails from voice prompts using Fetch.ai agents + ASI:One. No switching apps. No typing. No SMTP config headaches. Read more: Watch now 👇
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Talk to your agent. It talks to the world.⚡ See how a developer built an autonomous AI agent that sends real emails from voice prompts using Fetch.ai agents + ASI:One. No switching apps. No typing. No SMTP config headaches. Read more: Watch now 👇

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New course: A2A: The Agent2Agent Protocol, built with Google Cloud Tech and IBM Research, and taught by Holt Skinner, Ivan Nardini, and Sandi Besen. Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A, the open protocol standardizing how agents discover each other and communicate. Since IBM’s ACP (Agent Communication Protocol) joined forces with A2A, A2A has emerged as the industry standard. In this course, you'll build a healthcare multi-agent system where agents built with different frameworks, such as Google ADK (Agent Development Kit) and LangGraph, collaborate through A2A. You'll wrap each agent as an A2A server, build A2A clients to connect to them, and orchestrate them into sequential and hierarchical workflows. Skills you'll gain: - Expose agents from different frameworks as A2A servers to make them discoverable and interoperable - Chain A2A agents sequentially using ADK, where one agent's output feeds into the next - Connect A2A agents to external data sources using MCP (Model Context Protocol) - Deploy A2A agents using Agent Stack, IBM's open-source infrastructure Join and learn the protocol standardizing agent collaboration!
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New course: A2A: The Agent2Agent Protocol, built with Google Cloud Tech and IBM Research, and taught by Holt Skinner, Ivan Nardini, and Sandi Besen. Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A, the open protocol standardizing how agents discover each other and communicate. Since IBM’s ACP (Agent Communication Protocol) joined forces with A2A, A2A has emerged as the industry standard. In this course, you'll build a healthcare multi-agent system where agents built with different frameworks, such as Google ADK (Agent Development Kit) and LangGraph, collaborate through A2A. You'll wrap each agent as an A2A server, build A2A clients to connect to them, and orchestrate them into sequential and hierarchical workflows. Skills you'll gain: - Expose agents from different frameworks as A2A servers to make them discoverable and interoperable - Chain A2A agents sequentially using ADK, where one agent's output feeds into the next - Connect A2A agents to external data sources using MCP (Model Context Protocol) - Deploy A2A agents using Agent Stack, IBM's open-source infrastructure Join and learn the protocol standardizing agent collaboration!

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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:
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With this video, learn step-by-step how to create and deploy an agent on Agentverse. #ai #aiagent #agentverse
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With this video, learn step-by-step how to create and deploy an agent on Agentverse. #ai #aiagent #agentverse

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The Model Context Protocol (MCP) is powerful, but it's not enough. In the age of AI agents you absolutely need a COORDINATION LAYER that makes agent-to-agent / agent-to-system interactions reliable, composable, and rule-bound. That's Sui.

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How to launch an AI agent in less than 20 mins using Virtuals Protocol Check ours out GAM3R 👋
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How to launch an AI agent in less than 20 mins using Virtuals Protocol Check ours out GAM3R 👋

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Agent Launch makes it simple for verified AI agents to launch their own token in minutes. Watch how the platform works - from connecting an Agentverse by Fetch.ai agent to configuring your token and getting it live on BNB Chain. Move from utility to economic independence 👇 Start here:

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Agent Internet Protocol (AIP 2.0) Autonomous Agent Civilization Infrastructure ▫️identity ▫️memory ▫️wallet ▫️reputation ▫️settlement ▫️cooperation ▫️protocol ▫️synchronization

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