a2a-agent-system

Hwani-Net
1
A2A (Agent2Agent) compatible AI agent system with MCP (Model Context Protocol) support for Smithery deployment

Overview

What is a2a-agent-system

The a2a-agent-system is an Agent-to-Agent (A2A) compatible AI agent system designed for deployment using the Model Context Protocol (MCP). It enables seamless interoperability between various AI agents, facilitating collaborative tasks and projects.

How to Use

To use the a2a-agent-system, set up your environment by installing dependencies with 'pip install -r requirements.txt', configure your environment interactively using 'python setup_env.py', and input your API keys for various AI services. Finally, run the server to start utilizing the A2A functionalities.

Key Features

Key features include full A2A protocol compatibility, support for multiple AI models (OpenAI, Anthropic, Google, Cohere), a flexible skill system, a RESTful API, real-time streaming capabilities, and robust security measures such as API Key and Bearer Token authentication.

Where to Use

The a2a-agent-system can be utilized in various fields including software development, data analysis, project management, and any domain requiring collaborative AI interactions and task automation.

Use Cases

Use cases for the a2a-agent-system include project creation and management, multi-agent discussions for expertise sharing, automated code generation, and real-time analytics and visualization tasks.

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