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.

Agentic Research Orchestration for UX Research and Product Development. Vibe and handcoded by a social and data scientist with background in many research domains and open-source

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)

Jira A2A Proof of Concept

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.

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.

Cross-window group chat for Claude Code. Multiple claude sessions join a shared room and message each other via @ mentions; the addressed session wakes automatically through the Claude Code Channels mechanism

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).