Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Rancher Desktop, and Kubernetes.

Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.

Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.

ScaledMCP is a horizontally scalabled MCP and A2A Server. You know, for AI.

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

The UnisonAI Multi-Agent Framework (A2A) provides a flexible and extensible environment for creating and coordinating multiple autonomous AI agents. UnisonAI is designed with flexibility and scalability in mind.

Transform LLM into agent that can access knowledge repositories, networking, MCP services, deep thinking, deep research, and can also be used directly through Openai API calls or on the web or desktop

.NET implementation of the Agent2Agent (A2A) protocol to enable secure, interoperable communication between autonomous agents across frameworks and vendors.

free your agents. a go implementation of the A2A protocol from google

A2A agent implementing OpenDeepResearch

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

OpenShift build and deployment configurations for the Trust Over IP components.

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

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Agent2Agent Protocol (A2A) 中文文档

A Go library implementation for Google's A2A agent protocol

An extensible AI agents framework

Agent2Agent (A2A) protocol implementation in Ruby. Under development.

A flexible foundation AI system for creating A2A-compatible autonomous AI agents that can collaborate, reason, and execute complex tasks through standardized agent-to-agent communication protocols.