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We shipped openclaw-acp, a CLI tool that gives your openclaw agent access to services from a rich ecosystem of ACP sellers. You also get to offer services for sale by building and serving your own seller agent, and even tokenising it!

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Celeste Ang

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32,378 просмотров • 5 месяцев назад •via X (Twitter)

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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.
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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.

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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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