This project demonstrates a multi-agent system using Google's Agent Development Kit (ADK), Agent2Agent (A2A) and Model Context Protocol (MCP). that integrates Notion for information retrieval and ElevenLabs for text-to-speech conversion.

Awesome A2A Agents is a curated list of tools, frameworks, and projects built on the Agent-to-Agent (A2A) communication protocol. It aims to showcase interoperable agent systems, share best practices, and help developers explore the emerging A2A ecosystem.

Google A2A (Agent-to-Agent) protocol with Selenium to enable AI-driven web automation, test execution, and evidence capture. This project allows agents to control browsers, validate UI flows, and record structured results — ideal for intelligent testing frameworks and autonomous web interactions.

FastCampus 온라인 강의 - MCP와 A2A로 끝내는 상상도 못할 Multi-Agent 구축 (Part03 - Chapter 01)

A2A实战示例，支持openai、deepseek、qwen的完整的酒店旅行示例

Designed and implemented a complete protocol for secure, covert communication between agents.

About This project aims at building a robust, scalable and durable implementation of Google Agent2Agent (A2A) protocol. A2A is an open standard designed to enable seamless communication and collaboration between AI agents, built using diverse frameworks and by different vendors. A2A is breaking down silos & fostering interoperability.

A2A (Agent-to-Agent) protocol wrapper for OpenCode. Drop a JSON config in, get a fully spec-compliant A2A server out. This project has moved to https://github.com/shashikanth-gs/a2a-wrapper

This project implements an automated marketing system using Google ADK and A2A (Agent-to-Agent) communication. It features agents that generate and post content to LinkedIn using Gemini 3 Pro (Google) model.

Explore MCP and A2A protocols with hands-on client/server implementations, UI integration, cloud deployment, and multi-agent collaboration.

Fulbundhu quiz is a a2a project, which is built for the students who are now reading in class 6 to 12.

FastCampus 온라인 강의 - MCP와 A2A로 끝내는 상상도 못할 Multi-Agent 구축 (Part03 - Chapter 02)

A Python command-line utility for controlling original Anova Precision® Cooker BT/WiFi sous vide devices via Bluetooth Low Energy. Supports both 800w (BT-only) and 900w (WiFi-enabled) models with model-specific commands and automatic detection.

AgentNexus is an innovative open-source project that combines Google's Agent-to-Agent (A2A) protocol, Anthropic's Model Context Protocol (MCP), and LangChain to create a powerful multi-agent communication system.

Multi-agent badminton scheduling demo showcasing A2A communication between ADK, LangChain, and CrewAI agents with tool-based coordination.

A2A protocol Project

A libarary of template A2A projects

This project demonstrates Agent-to-Agent (A2A) conversations using LangGraph with the A2A protocol. It includes implementations in both **Python** and **TypeSc…

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).

This project delivers an Agentic Multi-Agent AI system for automating Azure Well-Architected reviews. Specialized agents for reliability, security, cost optimization, operational excellence, and performance efficiency collaborate via A2A, using Semantic Kernel and MCP to provide multi-modal, context-aware insights and recommendations.

Comprehensive AI Agent study project with 31 examples across 12 frameworks (LangChain, CrewAI, AutoGen, LangGraph, Pydantic AI, OpenAI Agents SDK, LlamaIndex, Microsoft Agent Framework, MCP, A2A)

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Shanghai MCP & A2A hackathon projects

A Node.js project demonstrating an agent-to-agent (A2A) workflow for text summarization and idea generation using the A2A SDK

Project inicial RRWA + A2A+ Platform (React + FastAPI + LangChain + Gemini + Docker + EKs)

an open-source AI agent interconnection project based on Google's A2A protocol

A sample project to demonstrate how a langgraph ReAct agent can be wrapped with the A2A protocol

This project implements an Agent-to-Agent (A2A) communication framework where multiple local LLM agents (via Ollama) collaborate on tasks and report to a centralized Manager Agent.

Multi-agent badminton scheduling demo showcasing A2A communication between ADK, LangChain, and CrewAI agents with tool-based coordination.

Repository with A2A projects