Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

Official Python SDK for the Agent2Agent (A2A) Protocol

Samples using the Agent2Agent (A2A) Protocol

Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.

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.

A curated list of Agent-to-Agent (A2A) libraries and SDKs, organized by programming language.

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

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

Azure-native A2A Technology Demonstrator

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)

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Jira A2A Proof of Concept

Mastervolt Deep Research is a sophisticated multi-agent orchestration system built on VoltAgent that automates complex research workflows. It combines specialized AI agents, semantic memory, intelligent tooling, and custom web scraping to conduct comprehensive research, verify facts, analyze data, and generate publication-ready reports.

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.

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.

About Pure java implementation of Google A2A protocol. This project demonstrates how to build an A2A-compliant multi-agent system using Spring Boot, Ollama, and the Agent-to-Agent (A2A) protocol. The architecture is based on a Parent Agent that orchestrates multiple Child Agents (e.g., Order Agent, Seller Agent).

it built itself

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

📝 Enhance your writing with Editorial AI, a focused assistant that analyzes tone and style to humanize AI-generated text for clearer, more engaging content.

first commit

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

System prompts and architectural patterns for building scalable AI agents with the Google A2A Protocol and AI SDK.

Build an AI-powered healthcare dashboard that predicts drugs and diseases using machine learning, offering insights and visualizations for improved decision-making.

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.

🚀 Build AI agents with ease using AgentStack's modular design, offering robust APIs, evaluation tools, and powerful utilities for seamless integration.

Deliver an open-source, simplified GPT model with advanced vector projections for improved semantic, emotional, and temporal context understanding.

🩺 Build and deploy your AI-powered medical service app seamlessly with GitHub. Run locally with simple steps and enhance healthcare solutions today.

📸 Streamline your study process with AIcheck, a quick job-checking tool that uses AI to analyze your screenshots for efficient feedback.