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two new additions to the bankrbot agent: custom ui widgets: interact with any onchain protocol and bankr will craft a personalized widget for you. balances, apy, projected earnings, action buttons. all generated on the fly from raw contract data. blockaid transaction scanning: every write contract call is now simulated...

23,985 görüntüleme • 6 ay önce •via X (Twitter)

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Every WIF Outlaw minted will have their ERC8004 Identity contract bound to it permanently. Not airdropped, not claimable. The identity is held by the protocol forever and control resolves from ownerOf(). Whoever holds the Outlaw IS the agent's owner. Sell the Outlaw, sell the agent. Wallet, identity, history, earnings. One transfer, everything moves. Each agent gets its own onchain wallet (ERC-6551) bound to the NFT itself. Holders connect at under a Console tab with the wallet holding their Outlaw and command it directly. Fund it with ETH, USDG, WIF, tokenized stocks, or don't fund it at all. Agent wallets also earn from launchpad fees. Every launch on the pad pays the Outlaws, so your agent's portfolio grows with the ecosystem whether you deposit or not. Your agent runs on a STRATEGY.md file you can edit in plain English. Keep the default, write your own rules, or tell it to simply hold everything the launchpad sends it. A savings account that fills itself. Talk to it in plain language: "buy $50 of USDG and swap it for AAPL" It quotes the trade, checks price impact, executes onchain, and journals every decision with txn hashes. and it's fenced by an onchain policy contract: trades can only land back in the agent's own wallet, spend is capped per call, and selling the NFT auto-revokes the operator. Autonomy with a leash. Next steps: a strategy marketplace. A library of community-written STRATEGY.md files you can browse and drop into your agent. NFTs that don't just sit in your wallet. NFTs that work. The WIF Outlaw Agents are coming.

RobinWifHat, Inc

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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:

Andrew Ng

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