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The Agent2Agent (A2A) protocol is an open standard that lets AI agents built by different vendors on different frameworks find each other, describe what they can do, and hand tasks back and forth over ordinary web technologies.
It complements the Model Context Protocol: MCP connects an agent to tools and data, while A2A connects an agent to other agents.
Google announced A2A in April 2025 with a large group of technology partners. The project was later contributed to the Linux Foundation so that it could be governed in the open. The protocol builds on familiar standards: HTTP for transport, JSON-RPC 2.0 for message structure, and Server-Sent Events for streaming updates. Discovery starts with an Agent Card, a JSON document that an agent usually publishes at a well-known URL. It gives the agent's name, a description, its service endpoint, the skills it offers, the input and output types it accepts, and how clients should authenticate. A client agent reads the card to decide whether this remote agent suits the job. Work is organized around tasks. A client sends a message made of parts, which can be text, files or structured data. The remote agent can create a task that moves through defined states such as submitted, working, input-required, completed, failed or canceled. Results come back as artifacts. For work that takes minutes or hours, the client can stream progress or register a webhook for push notifications instead of holding a connection open. A2A treats remote agents as opaque. The client does not see the other agent's prompts, tools, memory or model, only what it advertises and returns. Vendors can therefore cooperate without exposing their internals. People often assume A2A and MCP compete. They answer different questions. MCP describes how an agent calls tools and reads resources, which are usually well-defined functions with structured inputs and outputs. A2A describes how an agent works with another autonomous agent that has its own reasoning and may need several exchanges to finish. A single system can use both. Another misconception is that A2A handles trust on its own. It declares how to authenticate, but organizations still have to decide which agents to trust and what to share with them.
Maamuzi ya usanifu huendesha utendaji na gharama ya uendeshaji kwa miaka.
Elimu ya kiufundi husaidia timu kuchagua safu sahihi, sio tu mpya zaidi.
Chaguo bora za uhandisi hupunguza matukio ya kuaminika katika uzalishaji.
A2A is still relatively young, and its specification and SDKs have changed noticeably since launch. Adoption depends on whether enough vendors publish agents that are actually useful to call, and on whether registries and trust frameworks develop to help agents find reliable partners. Open questions include how to handle billing, reputation and accountability when one company's agent acts on another's instructions. It seems reasonable to expect A2A and MCP to be used side by side, while the details of how cross-organization agent networks will look in practice remain uncertain.
A company's travel assistant finds a partner airline's booking agent by reading that agent's Agent Card, sees that it offers a 'rebook flight' skill, and sends it a task instead of scraping the airline's website.
A hiring coordinator agent passes candidate sourcing to one vendor's recruiting agent and background checks to another's. It tracks each as a separate A2A task with its own status.
A long-running research task sent to a specialist agent returns 'input-required' partway through. The client agent asks the user to clarify and sends the answer back on the same task.
Inside one agent, MCP connects it to a database and a file store. A2A is what that same agent uses to delegate a subtask to a separately owned agent whose inner workings it cannot see.
Kuboresha kiwango kimoja kunaweza kuficha udhaifu mkubwa wa mfumo.
Gharama za miundombinu na matengenezo mara nyingi hupunguzwa.
Mapengo ya usalama na uonekanaji yanaweza kukua kadiri mifumo inavyozidi kuwa ngumu.
Bainisha muda, ubora na malengo ya gharama kabla ya utekelezaji.
Benchmark chini ya mzigo halisi na hali ya data.
Ufuatiliaji wa ala kwa makosa, kuteleza, na athari za mtumiaji.
Tayarisha njia za urejeshaji na majibu ya matukio kabla ya kuongeza ukubwa.
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The Agent2Agent (A2A) protocol is an open standard that lets AI agents built by different vendors on different frameworks find each other, describe what they can do, and hand tasks back and forth over ordinary web technologies. It complements the Model Context Protocol: MCP connects an agent to tools and data, while A2A connects an agent to other agents.
A2A standardizes discovery and task exchange between independent agents, whoever built them.
They solve different problems and can run in the same system: tool access through MCP and agent collaboration through A2A.
Client agents read the Agent Card to discover what a remote agent can do and how to connect to it.
A2A deliberately uses common web standards so it fits into existing infrastructure.
The task pauses until the client sends a follow-up message on the same task, often after asking the user.
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