An open protocol enabling communication and interoperability between opaque agentic applications.

Official Python SDK for the Agent2Agent (A2A) Protocol

Samples using the Agent2Agent (A2A) Protocol

Discover, run, and compose AI agents from any framework.

Enterprise-ready MCP gateway, MCP registry & orchestrator

我从A2A官方克隆下来，并加以修改的A2A实战代码示例，用于初学者入门教学，大家一起来A2A吧。

Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.

Azure-native A2A Technology Demonstrator

An interactive command-line interface that uses the Agent2Agent (A2A) & Model Context Protocols (MCP) to manage multi-agent systems.

Build and deploy an autonomous Devto Agent capable of interacting with the Dev.to platform, powered by A2A (Agent-to-Agent) and MCP (Model Context Protocol)

Jira A2A Proof of Concept

Secure Retrieval-Augmented Generation (RAG) with role-based access control using Mastra AI orchestration, with JWT Secure, also Deep Research built with Cedar & Next.js. Gemini, OpenAI, Openrouter, & Gemini CLI usable. Also exposes tools, agents as MCP Server Also A2A Agent Cards

A production-oriented, TypeScript multi-agent AI platform built on Google Genkit. The system composes Genkit flows, reusable tools, and independent A2A agents to support complex tasks such as research orchestration, code generation, and content editing.

it built itself

AG2A: AutoGen Agent-to-Agent - A library for AutoGen (AG2) agents with MCP capabilities exposed as A2A agents

🎯 Autonomous Transaction Monitoring & Fraud Response System (Private, Multi-Agent/Modal, MCP/A2A Compliant)

The A2A AgentKit provides a collection of sample AI agents that implement the Agent-to-Agent (A2A) protocol. These agents showcase interoperable AI systems built with the A2A SDK, integrated with the Genkit framework and powered by Google Gemini AI models.

A distributed multi-agent system that orchestrates complex tasks across specialized AI agents using A2A (Agent-to-Agent) protocol, MCP (Model Context Protocol) and LangGraph.

a Python framework for building and consuming Agent‑to‑Agent (A2A) servers. It draws inspiration from the popular FastMCP project but targets the A2A protocol directly.