a2a-examples

iteimouri
5
This repository gathers concrete implementations and usage examples of the A2A protocol across popular agentic AI frameworks. The goal is to lower the barrier to entry for developers and researchers looking to adopt A2A in their own systems.
#agent #agentic #agentic-ai #agentic-framework #agentic-rag #agentic-workflow #agents #ai #genai

Overview

What is a2a-examples

A2A (Agent-to-Agent) is a communication protocol developed by Google that facilitates interaction between autonomous agents through standardized message passing, goal negotiation, and task coordination. It allows agents to exchange structured messages, negotiate roles, form dynamic workflows, and collaborate asynchronously on complex objectives.

How to Use

To use a2a-examples, developers can explore the provided plug-and-play examples that demonstrate the A2A protocol in action across various agentic AI frameworks. Users can adapt these examples to fit their specific frameworks and follow best practices for multi-agent messaging and coordination.

Key Features

Key features of a2a-examples include concrete implementations of the A2A protocol, plug-and-play examples, adaptability for different frameworks, and best practices for intent resolution and coordination among multiple agents.

Where to Use

A2A can be utilized in fields that require multi-agent collaboration, such as automated research, enterprise automation, and multi-modal AI systems, where agents need to work together efficiently to achieve complex tasks.

Use Cases

Use cases for a2a-examples include collaborative research projects, automated task management in enterprises, and the development of multi-modal AI systems that require agents to negotiate and coordinate tasks dynamically.

Content