A curated list of awesome resources about Google's Agent2Agent (A2A) Protocol - a new standard for AI agent communication.

Agent2Agent (A2A) Protocol is an open standard introduced by Google in April 2025, designed to enable seamless communication and interoperability between AI agents built on different frameworks and platforms. It provides a common language for agents to interact, collaborate, and exchange information securely.

• Standardized Communication: A common language for AI agents to interact.
• Interoperability: Enables agents from different ecosystems to work together.
• Scalability: Supports complex multi-agent interactions.
• Security: Built-in security measures for agent-to-agent communication.
• Extensibility: Flexible protocol that can be extended for specific use cases.

• Official Resources
• Core Concepts
• Implementations
• Tutorials & Guides
• Tools & Libraries
• Community Projects
• Use Cases
• Contributing

• A2A Protocol Official Website - The official resource for the A2A Protocol, containing basic concepts, design principles, and usage examples.
• A2A Protocol GitHub Repository - Official implementations and sample code, including implementations in various languages and frameworks.
• A2A Protocol Tutorial - A detailed tutorial introducing how to build agent interaction systems using the A2A Protocol.
• A2A Protocol JSON Specification - The JSON specification document for the A2A Protocol.
• A2A Protocol Design Principles - A detailed explanation of the design philosophy and objectives of the A2A Protocol.
• Google AI Blog - A2A Announcement - Official announcement and overview.

• Agent Card: A metadata file describing an agent's capabilities, skills, endpoint URL, and authentication requirements.
• Task: The basic unit of work, with a unique ID and states such as submitted, working, completed, etc.
• Message: Communication between agents, containing roles (user or agent) and parts (text, files, structured data).
• Artifact: Outputs generated by agents during tasks, such as files or structured data.
• Streaming: Real-time updates for long-running tasks using Server-Sent Events (SSE).
• Push Notifications: Proactive updates sent to clients via webhooks.

• Request-Response: Basic communication pattern.
• Pub/Sub: Publish-subscribe pattern for event-driven communication.
• Streaming: Real-time data exchange between agents.
• Batch Processing: Handling multiple messages efficiently.

• todo Google's A2A SDK - Official SDK for A2A protocol
• todo Reference Implementation - Example implementations

• Python A2A - A powerful, easy-to-use library for implementing Google's A2A protocol in Python.
• NestJS A2A - A NestJS library for implementing Google's A2A protocol.
• A2A Go - A reference Go implementation of the A2A protocol.
• Semantic Kernel A2A - Implementation of A2A using Microsoft's Semantic Kernel.

• A2A Protocol Getting Started Guide - An introductory guide on how to get started with the A2A Protocol.
• Building Two Python Agents with Google's A2A Protocol - A detailed tutorial on building two simple agents using Python and the A2A Protocol.
• A2A Protocol Tutorial: Architecting Robust Multi-Agent Systems - An in-depth tutorial on how the A2A Protocol facilitates seamless communication between agents.

• A2A Protocol Development Guide - A comprehensive guide on developing server and client components that conform to the A2A Protocol specification.

• todo A2A Protocol: A New Standard for AI Agent Communication - Technical overview and design principles
• todo Performance Analysis of A2A Protocol - Performance characteristics and optimization

• todo Multi-Agent Systems: A Survey - Overview of multi-agent systems
• todo Agent Communication Protocols: A Comparative Study - Comparison with other protocols

• todo A2A Protocol Validator - Validate A2A protocol implementations
• todo A2A Protocol Monitor - Monitor and debug A2A communications

• todo A2A Test Suite - Comprehensive testing framework
• todo Performance Benchmarking Tools - Measure and compare performance

Coming soon as the protocol is newly released

Coming soon as the protocol is newly released

• Customer Service: Multi-agent systems for handling customer inquiries.
• Process Automation: Automated workflow coordination.
• Data Analysis: Distributed data processing and analysis.
• Resource Management: Intelligent resource allocation and optimization.

• Scientific Computing: Distributed scientific simulations.
• AI Research: Multi-agent learning and coordination.
• Robotics: Multi-robot coordination and control.

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate and follow the existing format of the list.

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.

This project is licensed under the MIT License - see the LICENSE file for details.

• Google AI team for introducing the A2A Protocol.
• The open-source community for their contributions to AI agent development.
• Contributors and maintainers of this repository.

• GitHub Issues: Report a bug or request a feature
• Discussions: Join the community discussion