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

🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.

Samples using the Agent2Agent (A2A) Protocol

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

Agent2Agent (A2A) – AgentCards, Servers, Clients, Docs

Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

Elkar - Task management for AI Agents, ready for Agent2Agent (A2A) protocol

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。

A2A4J is a comprehensive Java implementation of the Agent2Agent Protocol, including server, client, examples, and starters.

AgentX python SDK. Build multi-agent AI workforce.

Mock HTTP/SSE and LLM servers, inspired by wiremock, but with response streaming and SSE

A Javascript SDK for Agentic Communication

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.

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.

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

Cognisphere ADK is an AI agent development framework built on Google's Agent Development Kit (ADK)

Community A2A provider for the ai-sdk from vercel

Azure-native A2A Technology Demonstrator

A2A-4J is a Java implementation of the Agent-to-Agent (A2A) protocol. The A2A protocol facilitates standardized communication between AI agents, enabling them to exchange tasks, messages, and artifacts.

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)