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ACP is now live in Command Code. · cmd acp to use it in an ACP-compatible editor like Zed · work with same tools, skills, permissions, sessions Run Command Code workflows in your preferred editor

11,584 просмотров • 1 месяц назад •via X (Twitter)

Комментарии: 17

Фото профиля Ahmad Awais
Ahmad Awais1 месяц назад

ACP 🐐

Фото профиля Command Code
Command Code1 месяц назад

Read docs to learn more about ACP.

Фото профиля selfdriven
selfdriven1 месяц назад

This is what i was waiting for... you just opened up so many integration possibilities

Фото профиля Naymur Rahman
Naymur Rahman1 месяц назад

ACP 💪

Фото профиля Abiram
Abiram1 месяц назад

Finally goona use it with Zed

Фото профиля Simon Harms
Simon Harms1 месяц назад

Sweet! Hooking this up when I get home!

Фото профиля Maedah Batool
Maedah Batool1 месяц назад

We used to get so many requests around this. It’s finally here and people will be happy.

Фото профиля Ashar Irfan
Ashar Irfan1 месяц назад

another day, another ship 🚢

Фото профиля Binary Sniper ⚡
Binary Sniper ⚡1 месяц назад

Nothing will stop me to use command code now.

Фото профиля X
X1 месяц назад

Why the fuck are your models always down every hour ? never buying again

Фото профиля Malik Al
Malik Al1 месяц назад

thanks for add support ACP, but could you fix speed DeepSeek it's been slow all day when it's off peak hours. dayum

Фото профиля Alexander Alas
Alexander Alas1 месяц назад

@grok what are the practical use cases as a developer for this feature?

Фото профиля Ahmad Javaid
Ahmad Javaid1 месяц назад

@theo @maria_rcks please add this in T3 Code.

Фото профиля Erba Afidotama
Erba Afidotama1 месяц назад

How to use acp with zdr? @MrAhmadAwais

Фото профиля Otto Lopez
Otto Lopez1 месяц назад

finally

Фото профиля MO$EAN
MO$EAN1 месяц назад

Fucking finally

Фото профиля KINGKING
KINGKING1 месяц назад

@grok acp是什么

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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

105,894 просмотров • 1 год назад