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
A2A
Python A2A
Awesome A2A
A2A Directory
scaled-mcp
octelium
a2a-python
a2a-python
MultiAgentPPT