Official Python SDK for the Agent2Agent (A2A) Protocol

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.

A complete TypeScript implementation of the Python x402 payment protocol extension for A2A (Agent-to-Agent) communication. Enable your AI agents to request, verify, and settle crypto payments seamlessly.

Cognithor - Agent OS: Local-first autonomous agent operating system. 16 LLM providers, 17 channels, 112+ MCP tools, 5-tier memory, A2A protocol, knowledge vault, voice, browser automation, Computer-use, self-healing, self-improving. Python 3.12+, Apache 2.0.

剧本→分镜→片段→prompt | 基于 LangGraph+LLM，自动解析任意格式剧本，生成 Sora/Veo/Runway 等模型可用的连贯text-to-video提示词。保持角色/剧情跨片段一致，支持 MCP/REST API/函数调用 | Python库 + A2A集成。

A2A MCP Server is a lightweight Python bridge that lets Claude Desktop or any MCP client talk to A2A agents. It provides three tools: register servers, list agents, and call an agent, enabling quick integration of A2A-compatible agents with zero boilerplate for rapid prototyping.

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

Build autonomous Python agents with native Agent-to-Agent (A2A) communication

Redis integrations for Google's A2A Python SDK

"Open-source toolkit (Python Library, Registry API, CLI) for secure, decentralized AI agent interoperability using A2A/MCP."

A pre-built A2A Agent Executor for LangGraph Python

"Multi-Agent Python Application with A2A and MCP"

A Python framework that helps you build servers and AI agents that communicate using the A2A (Agent2Agent) protocol

"Open-source toolkit (Python Library, Registry API, CLI) for secure, decentralized AI agent interoperability using A2A/MCP."

📘 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.

Durable, agent-native AI runtime with native MCP + A2A support. Built in Rust, authored in Python

This repository demonstrates a practical implementation of Google's Agent-to-Agent (A2A) protocol using the python-a2a library. The system shows how specialized AI agents can communicate with each other through a standardized protocol to create a travel planning service.

A lightweight Python library for Agent-to-Agent (A2A) communication using JSON-RPC over HTTP with standardized discovery.

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

Open-source Python framework to deploy AI agents via HTTP, A2A, and MCP with built-in observability

Python SDK for SupplyGraph AI A2A Agents — a unified client and adapter toolkit for multi-agent integrations.

Build A2A agents in Python with minimal boilerplate - implement one handle() method, get streaming, persistence, and discovery for free.

A complete TypeScript implementation of the Python x402 payment protocol extension for A2A (Agent-to-Agent) communication. Enable your AI agents to request, verify, and settle crypto payments seamlessly.

Python A2A Tutorial

Python Agent2Agent (A2A) Tiny Sample.

Implementing CurrencyAgent with A2A Python SDK

SDK for building A2A agents in Health Universe

apcore-a2a acts as a thin, protocol-specific layer on top of `apcore-python`. It maps A2A concepts to apcore primitives

A lightweight, Python-based CLI tool and library for protocol-agnostic agent orchestration—combining MCP and A2A support with GPT-OSS reasoning.

A2A-ChatHub 是一个面向多智能体协作的 Python 项目骨架，用于我自己学习。