{"id":19171,"date":"2025-07-23T14:03:35","date_gmt":"2025-07-23T17:03:35","guid":{"rendered":"https:\/\/loxias.ai\/?p=19171"},"modified":"2026-10-23T16:24:48","modified_gmt":"2026-10-23T15:24:48","slug":"acp-and-a2a-communication-language-for-ai-agents","status":"publish","type":"post","link":"https:\/\/loxias.ai\/es\/blog\/acp-and-a2a-communication-language-for-ai-agents\/","title":{"rendered":"ACP and A2A: Communication Protocols for AI Agents"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">Imagine you\u2019re managing a team where no one speaks the same language. One speaks technical English, another sends emojis, another only responds with GIFs\u2026 Total chaos, right?\u00a0<\/span><span style=\"font-weight: 400;\">This is exactly the scenario the world of artificial intelligence found itself in until very recently. Each agent\u2014these task-specific intelligences\u2014spoke its own language\u2014some built on LangChain, some using <a href=\"https:\/\/openai.com\/\" rel=\"nofollow noopener\" target=\"_blank\">OpenAI<\/a>, some in the cloud, some on-premises. They wanted to collaborate, but they couldn\u2019t even order each other a coffee.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">And then came three game-changing protocols:<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>MCP (Model Context Protocol)<\/b><span style=\"font-weight: 400;\"> \u2013 a type of interpreter that helps an agent access tools and understand what they need to do. For more details, read the article \u201c<\/span><a href=\"https:\/\/loxias.ai\/es\/blog\/mcp-the-protocol-thats-reshaping-ai-to-the-world\/\"><b>MCP: the protocol that\u2019s reshaping the way AI connects to the world<\/b><\/a><span style=\"font-weight: 400;\">\u201d.\u00a0<\/span><\/li>\n\n\n\n<li><b>ACP (Agent Communication Protocol)<\/b><span style=\"font-weight: 400;\"> \u2013 the \u201cWhatsApp for agents\u201d: standardizes conversations between them.<\/span><\/li>\n\n\n\n<li><b>A2A (Agent-to-Agent Protocol)<\/b><span style=\"font-weight: 400;\"> \u2013 the \u201ccorporate Slack for agents\u201d: designed for scalability and security in the enterprise environment.<\/span><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">If agents were once islands, they are now forming archipelagos\u2014connected, interoperable, and ready to work together. And this has everything to do with what we do in social listening: multiple intelligences need to interact to generate complex, fast, and contextual insights. Let\u2019s understand how.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><b>What is ACP? And why does it matter?<\/b><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">The <\/span><b>Agent Communication Protocol (ACP<\/b><span style=\"font-weight: 400;\">) was created by IBM in partnership with BeeAI to solve a very practical problem: <\/span><i><span style=\"font-weight: 400;\">how to make AI agents from different backgrounds, languages, and frameworks communicate with each other?<\/span><\/i><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">Inspired by HTTP (which connects us to web pages), ACP connects agents. It defines a simple protocol, based on REST, that makes conversations between agents intelligent, standardized, and modular.<\/span><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><b>How does it work?<\/b><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">ACP follows a client-server architecture:<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>ACP Server: <\/b><span style=\"font-weight: 400;\">hosts one or more agents, exposes their \u201ctalents\u201d via REST API.<\/span><\/li>\n\n\n\n<li><b>ACP client: <\/b><span style=\"font-weight: 400;\">another agent or app that sends a request and receives the result.<\/span><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">Figure 1 shows the ACP client-server architecture.<\/span><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full wp-image-19173\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"http:\/\/loxias.ai\/wp-content\/uploads\/2025\/07\/ChatGPT-Image-21-de-jul.-de-2025-21_51_36-1024x683-1.webp\" alt=\"Diagram showing ACP client and ACP server communication via REST API, connecting a client application to an AI agent.\" class=\"wp-image-20530\" srcset=\"https:\/\/loxias.ai\/wp-content\/uploads\/2025\/07\/ChatGPT-Image-21-de-jul.-de-2025-21_51_36-1024x683-1.webp 1024w, https:\/\/loxias.ai\/wp-content\/uploads\/2025\/07\/ChatGPT-Image-21-de-jul.-de-2025-21_51_36-1024x683-1-600x400.webp 600w, https:\/\/loxias.ai\/wp-content\/uploads\/2025\/07\/ChatGPT-Image-21-de-jul.-de-2025-21_51_36-1024x683-1-300x200.webp 300w, https:\/\/loxias.ai\/wp-content\/uploads\/2025\/07\/ChatGPT-Image-21-de-jul.-de-2025-21_51_36-1024x683-1-768x512.webp 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\"><figcaption class=\"wp-element-caption\">Source: BeeAI and Linux Foundation<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">1. The ACP cliente discovers available servers and then initiates a request.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">2. Is sends a REST request to the ACP server.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">3. The server, which wraps an agent, manages the request and returna a response back to the cliente over REST.<\/span><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">This structure allows:<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">A single agent is exposed.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Multiple agents share the same server.<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Different servers communicate with each other over a network, forming an interactive ecosystem.<\/span><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">Oh, and by the way: ACP doesn\u2019t care if the agent was built with LangChain, AutoGen, or CrewAI. Just package the agent with the default interface and voila\u2014it\u2019s in the game.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><b>What about A2A? Where does Google fit into this conversation?<\/b><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\"><b>A2A (Agent-to-Agent Protocol) <\/b><span style=\"font-weight: 400;\">is Google\u2019s response to the same challenge, with a more specific focus on complex enterprise environments. While ACP was born in the IBM lab with a community spirit, A2A comes with an enterprise pedigree, including security, robust authentication, OpenAPI compatibility, and long-running tasks.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">It operates on a simple and powerful idea:<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">A customer agent makes a request \u2192 searches for another (remote) agent with the required skill \u2192 coordinates a \u201ctask\u201d with a beginning, middle, and end.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">And this may include:<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><span style=\"font-weight: 400;\">Exchanging messages with <\/span><b>artifacts<\/b><span style=\"font-weight: 400;\"> (texts, images, videos, forms);<\/span><\/li>\n\n\n\n<li><b>Synchronous<\/b><span style=\"font-weight: 400;\"> or <\/span><b>asynchronous<\/b><span style=\"font-weight: 400;\"> flows;<\/span><\/li>\n\n\n\n<li><span style=\"font-weight: 400;\">Agent discovery via \u201cskill cards\u201d.<\/span><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">Want your customer service agent to collaborate with your finance agent to generate a personalized proposal based on real data? A2A can solve the problem. And with enterprise security and OAuth authentication, everything is compliant.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><b>Where does this all fit in?<\/b><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">The ACP protocol sits between the underlying models (such as LLMs), the cloud infrastructure, and the business applications. It is the <\/span><b>brain that integrates intelligence<\/b><span style=\"font-weight: 400;\"> (model) and action (application).<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">And remember <\/span><b>MCP<\/b><span style=\"font-weight: 400;\">? It\u2019s still useful. MCP is like an agent\u2019s \u201cinternal Google\u201d: it helps them find tools, databases, and APIs. ACP\/A2A is what allows an agent to invite other agents to solve tasks together.<\/span><b>Aplica\u00e7\u00f5es reais e inspiradoras<\/b><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">Want to see how all this works in practice?<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>BeeAI (IBM)<\/b><span style=\"font-weight: 400;\">: is an open-source agent orchestrator built with ACP. You can pair Aider (which writes code) with GPT-Researcher (which searches for information) and have them work together as a team. No drama, and best of all, no hacks..<\/span><\/li>\n\n\n\n<li><b>Google + Box<\/b><span style=\"font-weight: 400;\">: Box Inc. integrated A2A to allow its document analysis agents to communicate with other external agents (partners, cloud, etc.). The result? Intelligence where the data is, in real time..<\/span><\/li>\n\n\n\n<li><b>Smart supply chain: <\/b><span style=\"font-weight: 400;\">factory agents interact with carrier agents via ACP. The result: automated, scalable, and agile logistics planning. No need to develop 200 custom integrations.<\/span><\/li>\n\n\n\n<li><b>Automated recruitment<\/b><span style=\"font-weight: 400;\">: one HR agent initiates the process, another filters resumes, another schedules interviews, and another performs background checks. Everyone communicates via A2A, delivering a seamless experience for both the candidate and the company.<\/span><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><b>Eye-catching benefits (and ROI)<\/b><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Interoperability: <\/b><span style=\"font-weight: 400;\">no more workarounds to connect different APIs.<\/span><\/li>\n\n\n\n<li><b>Architectural scalability: <\/b><span style=\"font-weight: 400;\">each new agent can be plugged into the system like plugging in a USB stick.<\/span><\/li>\n\n\n\n<li><b>Security by design: <\/b><span style=\"font-weight: 400;\">with robust authentication, access control, and encryption.<\/span><\/li>\n\n\n\n<li><b>Modularity and agility: <\/b><span style=\"font-weight: 400;\">instead of one \u201cdo-it-all\u201d agent, build a network of specialists.<\/span><\/li>\n\n\n\n<li><b>Open ecosystems: <\/b><span style=\"font-weight: 400;\">both ACP and A2A have open governance. Community, contribution, and evolution are guaranteed.<\/span><\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\">\u00a0<\/h5>\n\n\n\n<h5 class=\"wp-block-heading\"><b>Conclusion: the sound of agents talking<\/b><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">We\u2019re entering the era of AI talking to AI\u2014and this isn\u2019t science fiction. It\u2019s the new normal.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">For companies working with large volumes of data, such as social listening, this means having agents capable of monitoring trends, synthesizing insights, validating data with other expert agents, creating reports, and triggering alerts\u2014all in a coordinated, secure, and efficient workflow.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">ACP and A2A are the invisible threads that weave this new network of collaboration between intelligences. Whether your AI is shy or expansive, creative or analytical\u2014with these protocols, it gains a voice, ears\u2026 and coworkers.<\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><span style=\"font-weight: 400;\">If you\u2019re still thinking about how to connect your AIs, perhaps the right question is: how will you let them talk?<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Imagine you&#8217;re managing a team where no one speaks the same language. One speaks technical English, another sends emojis, another only responds with GIFs\u2026 Total chaos, right?&nbsp;This is exactly the scenario the world of artificial intelligence found itself in until very recently. Each agent\u2014these task-specific intelligences\u2014spoke its own language\u2014some built on LangChain, some using OpenAI, [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":20528,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[48],"tags":[109,110,111,112,58,113,49,114],"class_list":["post-19171","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-a2a","tag-acp","tag-agent-communication-protocol","tag-agent-to-agent","tag-ai","tag-ai-agents","tag-artificial-intelligence","tag-communication-language"],"acf":[],"_links":{"self":[{"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/posts\/19171","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/comments?post=19171"}],"version-history":[{"count":3,"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/posts\/19171\/revisions"}],"predecessor-version":[{"id":22965,"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/posts\/19171\/revisions\/22965"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/media\/20528"}],"wp:attachment":[{"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/media?parent=19171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/categories?post=19171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/loxias.ai\/wp-json\/wp\/v2\/tags?post=19171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}