Why was A2A Protocol created?

A2A Protocol was created to address one of the biggest challenges in enterprise AI adoption - getting agents built on different frameworks and vendors to work together. Google created this open protocol to support multi-agent communication by providing a common language for agents across different ecosystems.

What are the core components of A2A Protocol?

The core components include: Agent Card (public metadata file describing agent capabilities), A2A Server (implements protocol methods), A2A Client (consumes A2A services), Tasks (units of work), Messages (communication turns), Parts (content units), Artifacts (outputs), and support for Streaming and Push Notifications.

How can developers get started with A2A Protocol?

Developers can get started by: 1) Reading the technical documentation, 2) Reviewing the JSON specification, 3) Using the provided samples in Python and JavaScript, 4) Exploring sample agents for different frameworks like ADK, CrewAI, LangGraph, and Genkit, and 5) Reviewing key topics in the documentation.

Is A2A Protocol open source?

Yes, A2A Protocol is an open source project run by Google LLC and is open to contributions from the entire community under their License.

What frameworks are supported by A2A Protocol?

A2A Protocol provides sample implementations for several frameworks including Agent Developer Kit (ADK), CrewAI, LangGraph, and Genkit. The protocol is designed to work with any agent framework or vendor.

A2A Protocol

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A2A (Agent2Agent) Protocol is an open interoperability protocol developed by Google that enables seamless communication and collaboration between AI agents across different frameworks and vendors, regardless of their underlying architecture.

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更新時間：2025年04月16日

什麼是 A2A Protocol

Agent2Agent (A2A) Protocol is Google's open-source initiative designed to address one of the biggest challenges in enterprise AI adoption - enabling AI agents built on different frameworks and vendors to work together effectively. The protocol provides a standardized way for agents to communicate, share capabilities, and coordinate tasks while maintaining security. It complements Anthropic's Model Context Protocol (MCP) by focusing on agent-to-agent level interactions rather than individual language model operations. With support from over 50 technology partners including major players like Salesforce, SAP, ServiceNow, and MongoDB, A2A aims to establish a universal framework for agent communication in the enterprise environment.

A2A Protocol 的主要功能

A2A (Agent2Agent) Protocol is an open-source protocol developed by Google that enables seamless communication and interoperability between AI agents across different frameworks and vendors. It provides a standardized way for agents to discover capabilities, manage tasks, exchange multi-modal content, and coordinate complex workflows while maintaining enterprise-grade security and real-time synchronization features.

Agent Discovery and Capability Advertisement: Agents can publish their capabilities via JSON-formatted Agent Cards, allowing other agents to discover and identify the most suitable partners for specific tasks

Standardized Task Management: Provides unified methods for sending, getting, and canceling tasks, with support for long-running operations and real-time status updates through streaming and push notifications

Multi-modal Content Support: Enables exchange of various content types including text, files, structured data, audio, and video through Parts and Artifacts system

Enterprise-Grade Security: Built-in security features for authentication, authorization, and encryption, ensuring secure agent communication in enterprise environments

A2A Protocol 的使用案例

Complex Workflow Automation: Orchestrating multi-stage business processes like supply chain planning or recruitment workflows across different AI agents and systems

Cross-Platform Integration: Enabling seamless communication between AI agents built on different platforms like Salesforce, SAP, and ServiceNow for unified enterprise operations

Collaborative Problem Solving: Multiple specialized AI agents working together to solve complex tasks, such as document processing, data analysis, and decision-making

優點

Open-source and vendor-neutral, promoting wide adoption and community contribution

Built on established standards (HTTP/JSON) for easy integration with existing systems

Enterprise-ready with robust security features and long-task support

缺點

Still in early stages with adoption not yet at tipping point

Competing protocols (like AGNTCY) may fragment the market

如何使用 A2A Protocol

Step 1: Understand Core Concepts: Familiarize yourself with key A2A concepts like Agent Cards, A2A Server/Client, Tasks, Messages, Parts, Artifacts, Streaming and Push Notifications

Step 2: Read Documentation: Review the technical documentation at google.github.io/A2A and JSON specification at github.com/google/A2A/blob/main/specification

Step 3: Set Up Agent Card: Create an agent.json metadata file at /.well-known/agent.json describing your agent's capabilities, skills, endpoint URL and authentication requirements

Step 4: Implement A2A Server: Set up an HTTP endpoint that implements the A2A protocol methods using sample implementations in Python or JavaScript from the GitHub repository

Step 5: Create A2A Client: Build a client application that can discover agents via Agent Cards and send requests to A2A servers using the provided client libraries

Step 6: Initialize Communication: Have your client fetch the Agent Card, then send tasks/send or tasks/sendSubscribe requests with messages to initiate agent communication

Step 7: Handle Task Lifecycle: Implement logic to track task states (submitted, working, input-required, completed, etc) and handle streaming updates or push notifications if supported

Step 8: Test Integration: Use the provided sample agents and demo web app to test your A2A implementation and verify interoperability

Step 9: Add Advanced Features: Optionally implement additional capabilities like streaming, push notifications, or multi-agent collaboration based on your needs

Step 10: Deploy and Monitor: Deploy your A2A-enabled agents to production and monitor their communication and task execution

A2A Protocol 常見問題

A2A (Agent2Agent) Protocol is an open protocol created by Google that enables communication and interoperability between AI agents built on different frameworks and vendors. It provides a common language for agents to communicate with each other regardless of their underlying technology.