Google Introduces Agent2Agent (A2A): A New Open Protocol that Allows AI Agents Securely Collaborate Across Ecosystems Regardless of Framework or Vendor

Google Ai recently announced Agent2agent (A2A)An open protocol designed to facilitate safe and operating communication between the factors of artificial intelligence based on various platforms and frameworks. By providing a unified approach to the agent’s interaction, the A2A aims to simplify the complex workflow that includes Amnesty International agents specializing in cooperation to complete the tasks of a different complexity and duration.

A2A addresses a major challenge in the field of artificial intelligence: the lack of a common mechanism for factors to discover the ecosystems of sellers, communication and coordination. In many industries, institutions often publish multiple AI systems for specific functions, but these systems are not always integrated smoothly. The A2A aims to bridge this gap by providing a global set of rules for the inter -operation of the agent, so that the agents created by different teams or companies can work alongside without allocated integration.

A prominent feature in A2A is Focus at the institution level. Supports the protocol Long -term tasks This extends over the days, weeks, or even months-such as supply chain planning or multi-stage employment. It also accommodates Multi -media cooperationThe artificial intelligence agent can share and process text, sound and video in a unified workflow. Using Agent cards With JSON format, agents can announce their capabilities, safety permits and any related information required to deal with tasks. This approach allows each agent to assess whether he can perform a specific task, request additional resources, or delegate responsibilities to other agents capable.

protection It is another central side of the A2A. Artificial intelligence systems are repeatedly dealing with sensitive data, such as personal information in employing customer records in financing. To address these requirements, A2A is in line with Openapi authentication Standards, and the imposition of control -based access and exchange of encrypted data. This approach aims to ensure that only accredited agents, who have the right accreditation and permissions, can participate in the critical workflow or access to protected data flows.

To direct its development, the A2A was built around it Five basic design principles:

1. The first agentAgents do not share memory or tools by default. It works independently and communicates explicitly to exchange information.
2. Compatible criteria: The protocol uses widely approved web techniques, such as HTTP, JSON-RPC and SNT (SSE) Servian events, to reduce the friction of the developers.
3. Virtual insuranceIntegrated approval and licensing standards aim to protect sensitive transactions and data.
4. He deals with short and long tasksA2A supports both brief reactions (such as seeking fast information) and expanded operations that require continuous cooperation.
5. InappropriateAgents can deal with text, video, audio or other data by sharing the tasks organized in the actual time.

From a Artistic point of viewA2A can be considered a supplementary of other emerging standards of multi -agent AI systems. For example, The typical context protocol of anthropology (MCP) It focuses on how to deal with different language models with the common context during multi -factor thinking. The A2A concentration is in the inter -operating layer, ensuring that the agents can discover each other safely and cooperate as soon as the models are ready to exchange data or formatting tasks. This combination of context sharing (MCP) and communication between factors (A2A) can be a more comprehensive basis for multi -agent applications.

An example of the real world request for A2A is The recruitment process. One of the agents may examine the candidates based on specific criteria, and another can schedule the interviews, while the third may manage the background checks. These specialized factors can communicate through a unified interface, synchronize each step and ensure safely relevant information.

Google A2A is open source to encourage the participation and unification of society through the artificial intelligence industry. The main consulting and technology companies – including BCG, Deloitte, CGNIZANT and WIPRO – contribute to their development, with the aim of improving inter -operating features and security features. By following this cooperative approach, Google aims to lay the foundation for a more flexible and effective ecosystem.

In general, A2A provides an organized method for institutions to integrate specialized artificial intelligence agents, enable them to exchange data safely, manage tasks more effectively, and support a wide range of institution’s requirements. As AI continues to expand in various aspects of commercial processes, protocols such as A2A may help unify the contrasting systems, which enhances a widespread dynamic and reliable workflow.

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