Awesome A2A — Agent-to-Agent Ecosystem Directory

What it is

Awesome A2A is a curated directory of resources for the Agent-to-Agent (A2A) Protocol. It collects official samples, SDKs for five programming languages, framework integrations, community implementations, and tutorials. The A2A Protocol defines how AI agents communicate and delegate tasks to each other across different platforms and providers.

This resource is for developers building multi-agent systems who want a central reference for A2A adoption. Whether you are integrating A2A into an existing agent framework or building from scratch, this directory points you to the right tools.

How it saves time or tokens

Instead of searching across GitHub, documentation sites, and blog posts for A2A resources, this directory centralizes everything. Developers find SDKs, examples, and framework integrations in one place. The curated nature means low-quality or outdated resources are filtered out. It ships under the MIT license.

How to use

1. Browse the directory on GitHub.
2. Find the SDK for your programming language.
3. Review official samples for common patterns.
4. Check framework integrations for your agent platform.

# Example: Using A2A with Python SDK
pip install a2a-sdk

# Create an A2A client
from a2a import A2AClient

client = A2AClient(
    agent_card_url='https://my-agent.example.com/.well-known/agent.json'
)

# Send a task to another agent
result = await client.send_task({
    'message': {
        'role': 'user',
        'parts': [{'text': 'Summarize this document'}]
    }
})

print(result.artifacts[0].parts[0].text)

Example

A2A Agent Card (the discovery mechanism):

{
  "name": "Research Agent",
  "description": "Searches and summarizes academic papers",
  "url": "https://research-agent.example.com",
  "capabilities": {
    "streaming": true,
    "pushNotifications": false
  },
  "skills": [
    {
      "id": "paper-search",
      "name": "Academic Paper Search",
      "description": "Search for papers by topic and summarize findings"
    }
  ]
}

Related on TokRepo

• AI agent tools — More agent frameworks and tools
• Multi-agent frameworks — Compare orchestration approaches

Common pitfalls

• A2A is a relatively new protocol. Not all agent frameworks support it yet. Check framework-specific integration status before building on it.
• Agent discovery relies on well-known URLs. Agents must expose their agent card at a predictable endpoint for other agents to find them.
• The protocol supports both synchronous and streaming modes. Choose the right mode for your latency requirements.
• Security considerations for agent-to-agent communication are still evolving. Implement authentication and authorization carefully.
• Community implementations may not follow the latest protocol specification. Prefer official SDKs for production use.
• Review the official documentation before deploying to production to ensure compatibility with your specific environment and requirements.