Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating interoperable agent ecosystems that can collaborate to solve complex problems.

Pure java implementation of Google A2A protocol. Integrate your spring boot java applications with A2A protocol , includes client and sever both. Any agent built with a2ajava will also be exposed as MCP tool automatically

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP

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.

Adds nodes to n8n for interacting with AI agents using Google's New Agent2Agent (A2A) protocol. Send tasks, manage interactions, and process results from A2A-compatible agents within your workflows

Multi-cloud, framwork-agnostic AI agent runtime for building, testing, and deploying production agents across OpenAI, CrewAI, LangGraph, and Google ADK. Deploy the same agent code to AWS or Azure with built-in session management, execution hooks, MCP/A2A support, guardrails, observability and fault tolerance.

An open-source Agent2Agent (A2A) compliant server that provides Google Maps capabilities to other agents via a standardized protocol.

This is a library for implementing an Agent2Agent (A2A) server using Google Apps Script. This enables AI agent communication and secure service access for AI-powered workflows.

Enables AI agents to use Google Maps features (geocoding, elevation, search, directions) via the Agent-to-Agent (A2A) protocol.

A Java implementation of the A2A protocol, that's agent to agent scenarios with google a2a protocol

A NestJS library for implementing Google's Agent-to-Agent (A2A) protocol.

A2A agent server enabling Google Calendar scheduling, retrieval, and automation

AutonomousSphere is an agentic collaboration server. Agents talk, act, and use tools like teammates. Federated servers form an internet of autonomous teams. Powered by Google’s A2A protocol.

🏦 Multi-Agent Banking System built for the Google Cloud AI Agent Bake-Off using Google's ADK, A2A Protocol, and Gemini models

SUPERVAIZER is a toolkit built for the age of AI interoperability. At its core, it implements Google's Agent-to-Agent (A2A) protocol, enabling seamless discovery and interaction between agents across different systems and platforms.

ActualCode is a code assessment platform that analyzes real GitHub repositories and generates personalized, realistic coding challenges using a 7-agent AI architecture powered by Google's Gemini models and the A2A (Agent-to-Agent) protocol.

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.

Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP

AI Agent, Google ADK, A2A, DevOps

Java implementation for the Agent2Agent Protocol (A2A - https://github.com/google/A2A), enabling interaction between AI agents through a standardised interface

Google ADK + A2A Protocol en acción: 7 agentes de IA generan un Internal Developer Platform completo, sin intervención humana, en cuestión de segundos. 🔔 Suscríbete aquí: https://www.youtube.com/@NicolasNeiraGarcia?sub_confirmation=1

A curated list crafted by an AI agent of awesome resources for Google's Agent2Agent (A2A) Protocol.

🚀 Curated resources for Google's Agent Payments Protocol (AP2), A2A & x402 — blogs, videos, repos & specs. Contributions welcome!

An Agent-to-Agent (A2A) protocol wrapper for **any** Snowflake Cortex Agent. This service exposes your Cortex Agent through the Google A2A protocol, enabling other AI agents to interact with it through a standardized interface.

This repository contains a demo of a Search Agent built with Google's Agent Development Kit (ADK), showcasing Agent2Agent (A2A) and Multi-Component Protocol (MCP) integration. The Search Agent is capable of scraping content from specified URLs.

24/7 autonomous grant discovery system with MCP web scraping, A2A distributed agents, and Google Sheets automation for AI agencies

A2A protocol demo: Orchestrated AI agents for retail using Google ADK, LangGraph, and Vertex AI Search

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.

📘 Metriqe AI Training Repository – A curated collection of hands-on course materials and code for Metriqe’s corporate training in Python and Generative AI. This repo includes examples and notebooks covering core Python, OpenAI chatbots, LangChain workflows with LangFlow, LangGraph multimodal agents, Google A2A & Anthropic MCP integrations.

A feature-complete Rust-based AI agent framework inspired by Google's ADK, implementing the A2A (Agent-to-Agent) protocol for interoperability