Awesome A2a

✨ Awesome A2A (Agent2Agent Protocol) ✨

A curated list of awesome resources, implementations, tools, and examples related to the Agent2Agent (A2A) Protocol for AI agent interoperability.

Deutsch | English | Español | français | 日本語 | 한국어 | Português | Русский | 中文

> The Agent2Agent (A2A) Protocol is revolutionizing how AI agents communicate and collaborate - enabling seamless interoperability across different frameworks, vendors, and platforms. This repository collects the best resources to help developers build A2A-compatible agents.

Contents

• [🤔 What is A2A? (Briefly)](#-what-is-a2a-briefly)
• [💡 Key Principles](#-key-principles)
• [⚙️ How Does A2A Work? (High Level)](#️-how-does-a2a-work-high-level)
• [🚀 Getting Started with A2A](#-getting-started-with-a2a)
• [🏛️ Official Resources](#️-official-resources)
• [📜 Specification & Core Concepts](#-specification--core-concepts)
• [⚙️ Implementations & Libraries](#️-implementations--libraries)
• [Official Samples](#official-samples)
• [Framework Integrations (Official Samples)](#framework-integrations-official-samples)
• [Community Implementations](#community-implementations)
• [SDKs & Libraries (by language)](#sdks--libraries-by-language)
• [Frameworks](#frameworks)
• [Platforms & Integrated Solutions](#platforms--integrated-solutions)
• [🛠️ Tools & Utilities](#️-tools--utilities)
• [📚 Tutorials & Articles](#-tutorials--articles)
• [🎬 Demos & Examples](#-demos--examples)
• [🔗 Related Protocols & Concepts](#-related-protocols--concepts)
• [💬 Community](#-community)
• [Contributing](#contributing)

---

🤔 What is A2A? (Briefly)

A2A (Agent2Agent) is an open protocol from Google and partners enabling different AI agents (from various vendors/frameworks) to communicate securely and collaborate on tasks. It aims to break down silos between isolated agent systems, allowing for more complex cross-application automation.

⭐ Official Website: a2aproject.github.io/A2A | ⭐ Official GitHub: github.com/a2aproject/A2A | 🌐 Multilingual Docs (EN/ZH/JA): agent2agent.ren

💡 Key Principles

• Simple: Uses existing standards (HTTP, JSON-RPC, SSE).
• Enterprise Ready: Focuses on Auth, Security, Privacy, Monitoring.
• Async First: Handles long-running tasks & human-in-the-loop.
• Modality Agnostic: Supports Text, Files, Forms, Streams, etc.
• Opaque Execution: Agents interact without sharing internal logic/tools.

⚙️ How Does A2A Work? (High Level)

1. Discovery: Agents publish an Agent Card (JSON) describing capabilities, endpoint, and auth needs.
2. Communication: A Client agent sends a Task request (containing a Message with Parts) to a Remote Agent (Server) using HTTP/JSON-RPC 2.0.
3. Execution & Response: The Server processes the task, updating its status. It responds with the final status and any generated Artifacts (results, also containing Parts).
4. Updates: For long tasks, the Server can optionally stream TaskStatusUpdateEvent or TaskArtifactUpdateEvent via Server-Sent Events (SSE) or use Push Notifications.

For details, see the Official Technical Documentation.

---

🚀 Getting Started with A2A

New to A2A? Here's a suggested path:

1. Understand the Basics: Read the sections above ([What is A2A?](#-what-is-a2a-briefly), [Key Principles](#-key-principles), [How it Works](#️-how-does-a2a-work-high-level)). Check the 📰 Announcement Blog Post.
2. Explore Core Concepts: Dive into the 📖 Official Technical Documentation, focusing on Agent Card, Task, Message, Part, and Artifact.
3. See it in Action: Watch the 🎥 Official Demo Video and explore the code for the 🌐 Multi-Agent Web App Demo.
4. Run the Samples: Clone the Official Samples Repo and follow its instructions to run a client (like the CLI) and a sample agent (e.g., LangGraph or Genkit agent).
5. Review the Code: Look at the common (Python) or server/client (JS/TS) libraries in the official samples to see how A2A communication is implemented.
6. Try Building: Adapt a sample or use a library to create your own basic A2A agent or client.

---

🏛️ Official Resources

• 📄 A2A Protocol Website - The main documentation site.
• 💻 google/A2A GitHub Repository - Source code for the spec, docs, and official samples.
• 📰 Google Developers Blog Post - Announcement blog post explaining the motivation and partners.

📜 Specification & Core Concepts

(See [How Does A2A Work?](#️-how-does-a2a-work-high-level) above for summaries)

• 📖 A2A Technical Documentation - (Full Details) Detailed explanation of actors, transport, auth, core objects (Task, Artifact, Message, Part), Agent Card, etc.
• 📄 JSON Specification - The raw JSON schema definition for A2A structures.
• 💡 Key Principles (Docs) - Link to the principles section in the official docs.
• 🃏 Agent Card Specification (Docs) - Link to the Agent Card section in the official docs.
• 🗺️ Agent Discovery (Topic) - Discussion on how clients can find agent cards.
• 🔔 Push Notifications (Topic) - Details on the push notification mechanism.
• 🛡️ Enterprise Readiness (Topic) - Discussion on security, auth, privacy aspects.

⚙️ Implementations & Libraries

Official Samples

These demonstrate basic A2A client/server communication.

| Language | Sample Name | One-line Description | GitHub URL | | ----------------- | -------------------------- | ------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | 🔷 TypeScript | Genkit SDK Core | TS SDK + CLI, builds shared code for front- and backend | https://github.com/a2aproject/a2a-samples/tree/main/samples/js | | | Movie Recommendation Agent | Movie-recommendation conversational agent built with Genkit | https://github.com/a2aproject/a2a-samples/tree/main/samples/js/src/agents/movie-agent | | | TypeScript Client | Pure-frontend call example written in TS | https://github.com/a2aproject/a2a-samples/tree/main/samples/js/client | | | Node Express Server | A2A HTTP service implemented with Node/Express | https://github.com/a2aproject/a2a-samples/tree/main/samples/js/server | | ☕ Java | Custom Client | Java client with streaming listener | https://github.com/a2aproject/a2a-samples/tree/main/samples/java/customjavaimpl/client | | | Data Models | Complete set of POJO data models | https://github.com/a2aproject/a2a-samples/tree/main/samples/java/customjavaimpl/model | | | Custom Server | Spring Boot A2A server implementation | https://github.com/a2aproject/a2a-samples/tree/main/samples/java/customjavaimpl/server | | | Dice Agent (Multi-Transport) | Agent supporting multiple transport protocols | https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/diceagentmultitransport | | | Magic 8-Ball (Security) | Security-focused agent with OAuth2 | https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/magic8ballsecurity | | | Content Writer Agent | Content generation agent | https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/contentwriter | | | Content Editor Agent | Content editing agent | https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/contenteditor | | | Weather MCP Agent | Weather agent with MCP integration | https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/weathermcp | | 💠 .NET | Basic A2A Demo | Echo and Calculator server examples | https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/BasicA2ADemo | | | CLI Demo | Command-line client and server demo | https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/A2ACliDemo | | | Semantic Kernel Demo | Integration with Semantic Kernel | https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/A2ASemanticKernelDemo | | 🐍 Python | CLI Host | Command-line interface for interacting with A2A agents | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/hosts/cli | | | Hello World | Recommended first-run "Hello World" scaffold | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/helloworld | | | LangGraph Agent | Uses LangGraph to orchestrate multi-turn dialogue | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/langgraph | | | CrewAI Agent | Demonstrates multi-role collaboration with CrewAI | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/crewai | | | Semantic Kernel Agent | Orchestrates tools with Semantic Kernel | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/semantickernel | | | AG2 Agent | Minimal AG2 mutual-call example | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/ag2 | | | ADK Expense Reimbursement | Multi-turn expense reimbursement with forms | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/adkexpensereimbursement | | | Birthday Planner (ADK) | Multi-step birthday-party planner with ADK | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/birthdayplanneradk | | | Azure AI Foundry Agent | Example using Azure AI Foundry SDK | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/azureaifoundrysdk | | | A2A MCP Integration | Multi-agent collaboration with MCP servers | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/a2amcp | | | MCP without Framework | Bare-metal MCP integration without frameworks | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/a2a-mcp-without-framework | | | Travel Planner Agent | One-stop travel-planning agent | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/travelplanneragent | | | Headless OAuth2 | OAuth2 flow for headless agents | https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/headlessagentauth | | | Analytics Workflow | Multi-agent orchestration for data-analytics | [https://github.com/a2aproject/a2a-

…

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: ai-boost
• Source: ai-boost/awesome-a2a
• License: MIT
• Homepage: http://agent2agent.ren/

Install and usage instructions live in the source repository linked above.