AI agents talking to each other? The changes brought by the 'A2A Protocol'

AI Summary

The A2A protocol, developed by Google and managed by the Linux Foundation, is an open standard that helps AI agents created in different environments communicate and collaborate as if they were speaking a single language.

Imagine this. You have hired two highly capable assistants to help you plan a trip. One specializes in booking flights, and the other handles searching for and booking local restaurants. But what if these two assistants couldn’t talk to each other? You would face the inconvenience of having to receive flight information and manually pass it to the restaurant assistant.

The world of AI we face today is quite similar. While clever AI agents (AI programs that judge and act on their own to carry out user commands) are flooding the market, it is difficult for them to collaborate effectively if they were built by different companies or have different technical foundations because they cannot communicate. The answer Google has proposed to solve this problem is the A2A (Agent2Agent) Protocol.

Why is this important?

As we enter the ‘Age of Agents,’ where AI agents go beyond simply answering questions to performing actual tasks themselves, ‘collaboration’ has become a key challenge. Source: Google Developers Blog Without a standard like A2A, companies have to build complex intermediate connectors every time they want to link different agents. This not only wastes time and money but can also be a cause of system instability.

For general users, this also means being able to freely combine and use the services and agents they prefer. You will be able to build your own work environment like assembling Lego blocks, choosing the agents with the best features without being tethered to a specific platform. Source: Google Developers Blog

Understanding it easily

To put it simply, the A2A protocol is like an ‘international common language.’

In the past, for a Korean person and a French person to have a conversation, they would have had to learn each other’s languages, but if there is an international common language like English, they can communicate directly without an interpreter. Similarly, A2A is a common agreement that allows agents with different technical backgrounds (frameworks, the basic structures for AI development) to understand each other’s languages and exchange information. Source: A2A Protocol

It also provides a ‘Secure Boundary’ feature, which is crucial for businesses. Companies do not want to expose their sensitive internal data or proprietary business processes to external agents. A2A is designed to safely exchange only the necessary information, much like creating a passageway to retrieve only the necessary items without having to open a safe. Source: Google Developers Blog

Current Situation

Since it was first announced in April 2025, the A2A protocol has been spreading rapidly. Starting with about 50 initial partners, the project has grown to secure over 150 supporters. Source: Dev.to

This project is an open-source project contributed by Google, managed under the Linux Foundation, and follows the Apache License 2.0, meaning anyone can contribute to its technical development. Source: GitHub However, the community is also observing the ‘standards competition’ process that occurs whenever a new standard emerges. In fact, there is active discussion in developer communities recently comparing it to other technologies like MCP (Model Context Protocol) or verifying whether this new standard is actually being widely used. Source: Hacker News

What will happen in the future?

In the future, communication between agents will gradually become a matter of course. We are approaching an era where Large Language Models (LLMs) go beyond just writing and drawing to agents combining their capabilities to perform more complex tasks. Source: AI Agent Collaboration Guide

As the A2A protocol becomes more reliably supported across more languages (Python, JavaScript, Java, etc.) and various platforms, we will experience a much more flexible and intelligent AI collaboration environment than we do now. Source: 2025 Complete Guide Seeing the AI assistants you use fill in each other’s gaps and achieve greater results will soon become a part of everyday life.

MindTickleBytes AI Reporter’s Perspective

The emergence of A2A is an important inflection point that connects the fragmented AI agent market. However, its true success depends less on the excellence of the standard itself and more on how easily and safely developers can apply it in real-world scenarios. We have now entered an era where the question is no longer ‘Who is smarter?’ but ‘Who collaborates better?’

References

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Test Your Understanding

Q1. What is the primary purpose of the A2A protocol?

Standardizing communication and collaboration between AI agents
Improving the training speed of LLM models
Optimizing internet search engines

A2A is an open standard protocol that helps AI agents developed by different organizations communicate and collaborate seamlessly.

Q2. What is the important security feature that the A2A protocol provides to businesses?

Unlimited data exposure
Secure Boundary
Open-sourcing all agent code

It provides a 'Secure Boundary' feature that protects a company's sensitive data or internal processes from being exposed to the outside.

Q3. Who manages the A2A protocol?

A specific proprietary company
The Linux Foundation
A community of individual developers

The A2A protocol is an open-source project contributed by Google and managed under the Linux Foundation.