A2A Agents

Multi-chain x402 micropayment infrastructure for AI agents. 33 pay-per-call API services for crypto analytics, trading signals, security audits, real estate, banking, and market intelligence. Pay with USDC on Base chain - prices from $0.10 to $10.00 per request.

Official A2A python sample agent: A2A MCP Without Framework

Official A2A python sample agent: A2A MCP

Official A2A python sample agent: A2A Telemetry

Official A2A python sample agent: Adk Cloud Run

Official A2A python sample agent: Adk Expense Reimbursement

Official A2A python sample agent: Adk Facts

Official A2A python sample agent: Ag2

Official A2A python sample agent: Airbnb Planner Multiagent

Official A2A python sample agent: Analytics

Official A2A python sample agent: Any Agent Adversarial Multiagent

Official A2A python sample agent: Azureaifoundry SDK

Official A2A python sample agent: Beeai Chat

Official A2A python sample agent: Birthday Planner Adk

Official A2A java sample agent: Content Editor

Official A2A python sample agent: Content Planner

Official A2A java sample agent: Content Writer

Official A2A python sample agent: Crewai

Official A2A python sample agent: Dice Agent Grpc

Official A2A java sample agent: Dice Agent Multi Transport

Official A2A python sample agent: Dice Agent Rest

Official A2A python sample agent: Github Agent

Official A2A python sample agent: Headless Agent Auth

Official A2A python sample agent: Helloworld

Official A2A python sample agent: Langgraph

Official A2A python sample agent: Llama Index File Chat

Official A2A java sample agent: Magic 8 Ball Security

Official A2A python sample agent: Marvin

Official A2A python sample agent: Mindsdb

Official A2A python sample agent: Number Guessing Game

Official A2A python sample agent: Semantickernel

Official A2A python sample agent: Signing And Verifying

Official A2A python sample agent: Travel Planner Agent

Official A2A python sample agent: Veo Video Gen

Official A2A java sample agent: Weather MCP

An agent that plays chess. Accepts moves in standard notation and returns updated board state as FEN and an image.

An AI agent specialized in code generation, review, debugging, and software development assistance

An AI agent specialized in data analysis, processing, visualization, and insights generation from various data sources

A simple A2A agent that responds with 'Hello World' to any request

An AI agent specialized in project planning, task management, strategic planning, and workflow optimization

An AI agent specialized in research tasks, information gathering, and analysis using advanced search and synthesis capabilities

Samples using the Agent2Agent (A2A) Protocol

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

The .NET library to build AI agents with 30+ built-in connectors.

Lucid Agents Commerce SDK. Bootstrap AI agents in 60 seconds that can pay, sell, and participate in agentic commerce supply chains. Our protocol agnostic SDK provides CLI-generated templates and drop-in adapters for Hono, Express, Next.js, and TanStack, giving you instant access to crypto/fiat payment rails (AP2, A2A, x402, ERC8004).

🟪 Open source Agent Governance Platform that turns any LangGraph or ADK agent into a production-ready service. Supports: AG-UI, CopilotKit API, OpenTelemetry, MCP, memory, guardrails, SSO, RBAC.

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

Scan A2A agents for potential threats and security issues

Rust SDK for the Agent2Agent (A2A) Protocol.

Ship Agent2Agent in one line of code.

AI-Mocks is a Kotlin-based mock server toolkit that brings service virtualization to both HTTP/SSE and LLM APIs — think WireMock meets local OpenAI/Anthropic/Gemini/A2A testing, but with real streaming and Server-Sent Events support.

A2A Protocol client and developer toolkit.

A cookiecutter template for Python agent projects that use uv for dependency management

Cloud-native AI agents orchestration platform. Build agent networks in no code, bring your own agents or connect one with A2A and MCP. Both self-hosted and Cloud-hosted.

A collection of Summoner clients and agents featuring example implementations and reusable templates

General-purpose enterprise orchestrator on Google ADK + Vertex AI Agent Engine. Multi-agent system with risk tiers (R0-R4), policy gates, evidence bundles, and Mission Spec v1 workflows.

The A2A x402 Extension brings cryptocurrency payments to the Agent-to-Agent (A2A) protocol, enabling agents to monetize their services through on-chain payments. This extension revives the spirit of HTTP 402 "Payment Required" for the decentralized agent ecosystem.

Openclaw多智能体协同系统 | Multi-Agent OS for Decision Makers — 基于 OpenClaw (Clawbot) + Slack，让 AI 团队各司其职、自主稳定迭代。

PEAC Protocol: Portable Evidence for Agent Coordination

The core of `aipflow` is **task orchestration and execution specifications**. It provides a unified task orchestration framework that supports execution of multiple task types. The core is **pure orchestration** with no LLM dependencies - CrewAI support is optional.

🦪💰 Framework-agnostic A2A payment system with SHIB on Polygon. Works with LangChain, AWS Bedrock, OpenClaw, AutoGen. Trustless escrow, negotiation, reputation. 9,416x cheaper than traditional escrow.

Scalable agent registry for AI agents using A2A protocol AgentCard with semantic search. AWS serverless (Lambda, S3 Vectors, Bedrock). Python SDK & React Web UI.

Azure-native A2A Technology Demonstrator

Velostream is a high-performance streaming SQL engine built in Rust, designed for real-time analytics on financial and time-series data. It supports pluggable formats (JSON, Avro, Protobuf) and emphasizes low-latency processing, precision, and seamless integration with modern data pipelines

Distri is A2A compatible agent framework built in Rust. Build agents with simply a markdown definition and much more.

AI-powered news intelligence with 8 Vertex AI agents monitoring 50+ sources. Real-time executive dashboard, daily briefs, and smart alerts. Built on Firebase + A2A protocol.

Lightweight AI agent runtime in Rust — hybrid inference (Ollama, Claude, OpenAI, HuggingFace), multi-model orchestration, skill-based tool use with self-learning, semantic memory via Qdrant, code RAG with tree-sitter, MCP client, A2A protocol. CLI + Telegram + TUI

"Machines must run." — Open-source protocol & trust layer for AI agent commerce. Discovery, reputation, micropayments on Base L2.

The Identity Authority and Trust Gateway for the AI Agent economy. Issues and verifies cryptographic TrustBadges to secure cross-cloud Agent-to-Agent (A2A) communication.

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

Multi-agent research system in a node-based architecture represented in a cyclic graph, made with LangGraph, Gemini, FastAPI & React Vite.

Portable , scalable , secure AI Agents

An example implementation of a financial AI Agent built with Agentforce and made accessible through the A2A protocol. The Heroku backend provides A2A protocol support, and the agent uses Heroku AppLink to perform API invocations.

A production-ready multi-agent system showcasing Agent Communication Protocol (ACP) and Model Context Protocol (MCP) capabilities through a collaborative research workflow.

The official CapiscIO CLI tool for validating A2A agents. A lightweight Python wrapper that automatically manages the capiscio-core binary.

Runtime security middleware for A2A (Agent-to-Agent) protocol agents. Provides always-on validation, signature verification, and rate limiting for AI agent interactions.

Control Your Desktop AI Agents From Any Device 🚀

Open-source AI agent with MCP UI, app builder, A2A protocol, skills marketplace, and multi-provider chat. Built with Mastra. Alternative to OpenClaw.

🎨 Generate custom emojis from text or photos with Emojify, a fast and fun AI tool for unique icons and stickers in various art styles.

🤖 Streamline your debugging process with GENAI, an AI-driven assistant that helps identify and fix code issues efficiently.

Official CapiscIO GitHub Action to validate A2A (Agent-to-Agent) Agent Cards. Features schema validation, cryptographic verification, and live endpoint testing with 3D quality scoring.

MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.

NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.

An Open-Source, Decentralized Marketplace for AI Agents. Enables A2A Collaboration, Discovery, and Interoperability for Multi-Agent Systems (MAS) and LLM Agents

Step by step reference implementation for setting up data agents and integrating agent with Copilot Studio

🌍 Automate webpage content audits with GEO Agent Crew, extracting insights and optimization suggestions using cutting-edge AI tools for better online performance.

🚀 Build and launch a dynamic multi-agent ecosystem quickly with Swarm Factory, your go-to solution for adaptive AI development.

A local CLI that serves a Vue UI and proxies to an A2A (Agent-to-Agent) agent. Use it to test and interact with A2A agents in your browser. Supports both gRPC and JSON-RPC transports.

Economic settlement extension for the A2A protocol — escrow-based token payments for agent-to-agent tasks.

🎥 Summarize YouTube videos into clear, actionable insights with AI, allowing you to grasp key points quickly and easily.

🌐 Analyze au Hikari's 802.1x authentication to gain a global IP address independently from the provided HGW for personal research and assessment.

Youth sports analytics platform with verified statistics and team-validated metrics. Built on Firebase + Vertex AI for ECNL, MLS Next, and 56 youth soccer leagues.

Universal messaging infrastructure for AI agents — federated messaging, on-chain identity & reputation, x402 micropayments, A2A Protocol, EIP-1193 wallet signing

Pubroot — AI peer-reviewed knowledge base for the agent era. 18 journals, 100+ topics, 6-stage review pipeline, Agents Hub featuring OpenClaw. Submit via GitHub Issues, reviewed by Gemini + Google Search grounding. MCP server, A2A Agent Card, agents.txt. Zero fixed costs.

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

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

The definitive CLI for validating A2A (Agent-to-Agent) protocol agent cards. Validates cryptographic trust, schema compliance, and live endpoint functionality.

Ziran uses advanced attack methodologies including multi-phase trust exploitation and knowledge graph analysis to uncover vulnerabilities in AI agents before attackers do.

A production-ready Python package for integrating A2A protocol agents into LangChain/LangGraph. Enables stateful conversations, streaming, multi-turn context management, and seamless LLM tool binding with A2A agents.

Integrates the DevExpress Blazor AI Chat component with AI agents that conform to the Agent2Agent (A2A) protocol.

🏠 Monitor home safety by detecting hazards with multi-sensor alerts via LCD and LEDs for real-time security and environment tracking.

Development with Agentic tools like ADK, MCP, A2A for creating agentic workflows.

Multi-agent ops template: A2A protocol + Agent Cards + task delegation + OpenTelemetry observability

🔐 Streamline A2A authentication with Traylinx Auth Client for Node.js; enjoy secure token management and seamless integration for enterprise-level security.

Build an autonomous supply chain with Gemini 3 Flash Code Execution & AlloyDB AI ScaNN. Deterministic vision + semantic search + A2A protocol.

A WildFly feature pack implementing the open-standard Agent2Agent (A2A) Protocol to enable universal interoperability and seamless collaboration between AI agents across diverse frameworks and vendors.

💸 Simplify payments with x402, an open protocol for fast, fee-free digital dollar transactions. Experience seamless integration and instant settlements.

A2A-Native AI Agent Platform written in Go

SDK to build Agents in rust. Build and manage complex, self-correcting agent teams. Launch multi-agent systems via configuration files or using an Agent Factory. It's the robust framework for orchestrating intelligent agents using open standards (MCP, A2A).

AI agent examples run on AWS EKS. Shows Terraform, Vault, and Agent2Agent.

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.

Agent-to-Agent Protocol Specification — agent:// URI scheme for AI agent identity and discovery

Where AI disagrees before users suffer

LNMP – A protocol that carries meaning, enabling efficient and semantically consistent communication between LLM-native and autonomous systems.

A2V: Next-Gen AI Value Compute Protocol.

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Go

A2A agent server for browser automation and web testing using Playwright

A2A PHP SDK - PHP implementation of the AI A2A (Agent-to-Agent) Protocol (v0.2.5-0.3.0) [Unofficial]

APIPOOL — Intelligent API marketplace for AI agents. 4-pillar scoring: self-learning, predictive, anomaly detection, contextual understanding.

The open-source event bus for AI agents. Webhooks in. Agent actions out.

Agentic Workflows

A2A agent server that provides Context7-style documentation capabilities for your agents

SNAP - Signed Network Agent Protocol. Secure agent-to-agent (A2A) communication with cryptographic identity, built on Bitcoin Schnorr signatures and Nostr.

A2A Java SDK for Spring Framework. Including server, Spring Boot auto configuration, Spring AI tools, and Spring AI examples.

AI Agent Discovery Platform — Find any AI agent by capability. 24K+ agents indexed.

ADK-based SDR orchestration on Vertex AI Agent Engine. Routes leads through Research, Enrich, and Outreach agents with BYO data provider keys (Clay, Apollo, Clearbit).

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.

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

Multi-agent system built on the A2A (Agent-to-Agent) protocol that demonstrates distributed agent coordination for scheduling football games.

Experimental gateway that unifies agents built on A2A and MCP behind a single, scalable infrastructure.

Multi-protocol transport layer: MCP, A2A, ACP adapters

A2A Registry

Command-Line Agentic Refactoring of Java Code

A community-driven, open-source directory of live, hosted AI agents using the A2A Protocol

🚀 The Rosetta Stone for Agentic Payments - One vending machine, 5+ protocol implementations. Get from zero to working agentic payments in 5 minutes.

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.

AgentRanking system for A2A (Agent to Agent) ecosystem

Multi-agent customer support system with Google ADK & Gemini 2.5 Flash Lite. Kaggle capstone demonstrating 11+ concepts. Automates 80%+ queries, <10s response time.

Notes on gen AI concepts and tools. POC on agentic AI with MCP, A2A, langGraph, langchain, openAI LLM, crewAI

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.

Production-ready A2A Protocol Server with dual protocol support (HTTP REST + JSON-RPC 2.0). Built on SceneGraphManager v2.0.0 for JSON-driven AI workflow orchestration with LangGraph.

A multi-agent AI system that scans websites for security vulnerabilities. It uses the A2A (Agent-to-Agent) protocol for orchestration and MCP (Model Context Protocol) for tool integration. Specialized agents work together: they gather threat intel, crawl the site, analyze vulnerabilities, and produce a report.

A unified AI agent system integrating Retrieval-Augmented Generation (RAG), Agent-to-Agent (A2A) communication, and Model Context Protocol (MCP) for document processing, web search, and intelligent task delegation.

This is a sample A2A Agent server which wraps the Langdock Agent API

Multi-agent fraud detection demo using Claude + Gemini over MCP and A2A protocols

Non-custodial MCP server for trustless escrow on the XRP Ledger. Enables AI agents to create, manage, and settle escrows with crypto-conditions.

Aser is a lightweight, self-assembling AI Agent frame.

Demos and starter code for building agentic finance apps with Crossmint

A TypeScript library for creating A2A (Agent-to-Agent) protocol servers with decorators — "NestJS for AI agents". Build AI agent APIs with zero runtime dependencies.

Snack Money API examples

Agent-to-Agent (A2A) autonomous payments

Production-grade multi-agent system that analyzes stocks using 6 specialized AI agents communicating via the Agent-to-Agent (A2A) protocol.

Kai is an AI-powered investment analysis system that uses a multi-agent debate architecture to provide explainable, trustworthy, and data-driven investment insights.

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

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.

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

Vertex AI Agent Engine command template using Google ADK + A2A protocol. Zero-legacy scaffold with Terraform modules, strategic orchestration tool, and CI/CD pipeline.

MCPA2Aserver is a Google Apps Script library designed to consolidate Generative AI protocols into a single server solution. It enables developers to easily build and deploy servers that support both the **Model Context Protocol (MCP)** and the **Agent-to-Agent (A2A)** protocol.

.NET Agents technologies (Microsoft Agent Framework, MCP, A2A, AG-UI)

Checks for jobs continuously (24×7) on a schedule you control Parses job descriptions, extracts skills & keywords, and scores matches to your preferences Sends notifications (Email + Telegram bot supported in MVP) Generates tailored, job‑specific CVs (Markdown → optional PDF via Pandoc)

🐇 The 'RabbitHole' framework provides the tools for asynchronous A2A communication and task management. 📡🐇 ✨ Build powerful AI agents that communicate and collaborate.

Agent to agent protocol using MQTT

TypeScript/JavaScript SDK for the LNMP (LLM Native Minimal Protocol): parsing, encoding, routing, embeddings, spatial streaming, and WASM-powered utilities.

A multi-agent e-commerce system built with Google ADK and MCP. Features microservice architecture with A2A protocol communication, enabling customer consultation, real-time inventory lookup, and automated order processing.

A lawyer for the agent economy. AI agents can request contract review, risk analysis, and legal guidance via A2A protocol.

Community A2A provider for the ai-sdk from vercel

Github action for the Infer CLI

AI-powered multi-agent system for creative content generation and studio workflow automation

A registry website for hosting the a2a agents that were built using the Inference Gateway ADK

Enterprise-grade Python authentication client for Traylinx Sentinel API with full A2A Protocol support

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

This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.

A multi-gent system that provides comprehensive financial and corporate intelligence for publicly traded companies.

An educational demonstration of Google's Agent-to-Agent (A2A) protocol v1 through a multi-agent storytelling system. Three AI agents collaborate iteratively to adapt and enhance stories, showcasing real-world A2A communication patterns.

🤖 Curiosity Squad – Autonomous Multi-Agent Mars Exploration - Capstone Project

Production-ready AMQP adapter for A2A protocol enabling distributed task processing, event sourcing with LavinMQ streams, and horizontal worker scaling.

A2A protocol integration leveraging dynamic Semantic Kernel functions and an Agent Card Repository for adaptive workflows.

Multi-Agent Kubernetes Cost Optimization System

A safety-first multi-agent mental health companion with real-time distress tracking, triple-layer guardrails, and evidence-based grounding techniques. Built for Kaggle × Google Agents Intensive 2025 Capstone (Agents for Good Track)

A2A agent server for grafana dashboards automation tasks

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。

A2A agent server specialized in generating and automating n8n workflows

A2A-MCP official website with modern UI and dark mode support

AI-powered market intelligence agent for crypto and forex analysis with comprehensive market summaries

An A2A wrapper for tencent/SongGeneration on HuggingFace Space

AgentX python SDK. Build multi-agent AI workforce.

A example A2a Server with Human-In-The-Loop feature.

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Rust

Our planner has context sharing,in process MCP tool integration,structured output using pydantic(md,json), Task monitoring & Logging using callback functions, A2A protocol and used interoperability - e.g. one agent defined using ADK another using CrewAI.

Google-ADK

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.

A2A agent server for mocking and testing

Multi-agent solution on Azure Container Apps with Google Agent2Agent

AWS-powered hotel booking multi-agent assistant built with Strands Agents, Amazon Bedrock AgentCore, A2A protocol, MCP, Bedrock Knowledge Base, serverless Lambda integrations, and AWS CDK. Provides natural-language hotel search, price discovery, booking, and policy advisory.

Collection of some interesting Generative AI usecases implementation.

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

Agent 2 Agent (A2A) Validation tool (a2v) alternative to CLI

Agent2Agent (A2A) Docs – Your comprehensive guide to understanding and implementing the A2A protocol.

A production-ready agent server built with LangGraph that implements the Agent-to-Agent (A2A) protocol

AgentX Javascript/Typescript SDK. Build multi-agent AI workforce.

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

Ruby SDK for Google's Agent2Agent (A2A) Protocol - enabling seamless agent-to-agent communication via JSON-RPC 2.0, gRPC, and HTTP+JSON transports

Run multiple agents on single A2A Server

In this demo, a Host Agent classifies user input, makes a routing decision, and forwards the request to the appropriate agent via A2A clients using LLM function calling

Automated daily news generator using LLMs and vendor search, with date-organized, source-backed articles.

Toy project to make Agentforce accessible via A2A protocol

Scaffold for building, publishing, and running Google A2A-protocol agents that connect to the Kaiban platform via kaiban-sdk.

kbs_agent_a2a 智能体协议适配中间件

Agent2Agent Protocol (A2A) 中文文档

A2A Protocol Client/Server Utility For Avatar Interfaces

Open-source gateway and community to make AI agents interoperable using Google's A2A protocol – like Hugging Face, but for agents.

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).

A new unified Google Apps Script now deploys both Model Context Protocol (MCP) and Agent2Agent (A2A) networks as a single server, streamlining AI model integration for Google Workspace users.

Semantic Kernel A2A protocol and A2A Discovery Service Example

this project provides a basic example of the A2A SDK. It contains a single agent and a test client that invokes it. This is a great starting point for understanding the fundamental concepts of creating and interacting with an A2A agent.

OpenAGI Codes AI Agents Basics

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

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)

push A2A agent cards to Git, get a lightweight agent catalog

Innovative AI agent implementations using LangGraph—featuring ReAct, RAG (Corrective, Self, Agentic), chatbots, microagents, and more, with multi-AI agent systems on the horizon! 🤖🚀

a2a‑go is a reference Go implementation of the Agent‑to‑Agent (A2A) protocol by Google, including the proposed interoperability with the Model Context Protocol (MCP) from Anthropic.

ADK to A2A relay sample: expose your ADK Agent as an A2A Server

Implementing CurrencyAgent with A2A Python SDK

This repository serves as a kit for learning how to build Agentic AI applications.

Recipes for scalable, streaming-first multi-agent systems in cloud. It combines A2A protocol, OpenAI Agents SDK, and Dapr building blocks (PubSub + Virtual Actors) to show how AI agents can stream outputs and coordinate at scale.

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in TypeScript

LeapRAG is an open-source platform that integrates advanced RAG technology with Google’s A2A protocol, enabling users to build context-aware, data-driven agents. These agents are automatically A2A-compliant and can be discovered and used by any compatible client without extra development.

it built itself

Multi-agent-driven GenerativeUI

Google A2A protocol demo where a CLI client works with a scheduling agent, which in turn coordinates three specialized player agents to arrange a Table Tennis game.

Machine 2 Machine Protocol, x402 + A2A + MCP

An agentic AI assistant, that is helping users with math queries to solve and explain them to the user.

This sample demonstrates a conversational agent built with LlamaIndex Workflows and exposed through the A2A protocol. It showcases file upload and parsing, conversational interactions with support for multi-turn dialogue, streaming responses/updates, and in-line citations.

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

An agent playground (without authentication) in a single repo for fastest turn around cycles during experiments.

This is a beginner friendly repo showing how to build multi-agent AI systems using the A2A protocol.

U.S. governance-inspired coordination strategies in multi-agent AI systems

A smart movie chatbot built with the Agent-to-Agent (A2A) protocol and Google’s Genkit AI. It features real-time movie data, quote generation, and interactive chat via API and CLI. Ask ChatGPT

A comprehensive travel planning system built with Agent2Agent (A2A) protocol, featuring specialized AI agents for hotel booking, car rentals, currency conversion, and travel coordination.

Discover, compare, and implement the best agent-to-agent protocols for your AI systems. Enable your AI agents to communicate effectively with our curated protocol directory.

This repository demonstrates a multi-agent proof-of-concept using Microsoft Semantic Kernel and A2A Protocol

A command-line utility for interacting with A2A agents.

a Python framework for building and consuming Agent‑to‑Agent (A2A) servers. It draws inspiration from the popular FastMCP project but targets the A2A protocol directly.

Demo para o uso do protocolo A2A por meio de 4 agentes criados com Google ADK: Supervisor, Torcedor do Flu e do Fla e um Pesquisador, onde o Supervisor recebe uma ordem do Usuário com tempo determinado, e ordena aos Agentes Torcedores que iniciem o Debate, que poderão usar o Agente Pesquisador para aprimorar seu argumento

Create remote chat agent using agent2agent protocol

A multi-agent AI helpdesk system for smart campuses using locally-hosted LLMs (Ollama/LM Studio). Features specialized agents for academics, finance, and events with MCP-style communication, FastAPI backend, and React chat interface. Runs completely offline with modular, extensible architecture.

What would Tagore write, if he knew our history

a Python proof-of-concept (PoC) application for security formal verification of LLM Agents using Google A2A (Agent-to-Agent) protocol.

Learning project with A2A, CrewaAI and Huggingface

A .NET library that enables ASP.NET Application to host Agent2Agent Server following Google's A2A protocol

Agent Development Kit (ADK)

Agent-to-Agent (A2A) communication protocol for inter-agent coordination and a Model Context Protocol (MCP)-inspired architecture for interacting with external tool servers.

Muvius is a powerful framework for building and managing AI agents with advanced memory systems and seamless inter-agent communication. It provides a structured approach to creating intelligent agents

Aqua Forecaster

ToolBox is a collection of tools and functions designed to be used in conjunction with Language Model (LLM) agents. This repository provides utilities for interacting with APIs, handling geolocation, weather data, and more.