Google has started collaborating with key industry partners such as LangChain, OpenAI, Anthropic, and others to make A2A a truly open ecosystem.

At its core, A2A introduces:

• 
  Discovery mechanisms so agents can find and trust each other.
• 
  Schema-based data exchange for structured, interoperable communication.
• 
  Secure delegation and permissioning to ensure agents only perform authorized actions.
• 
  Common interfaces for invoking capabilities across systems.

Decide whether you’ll build your own agents or integrate existing ones that already support A2A. For example, you could create:

Step 1: Choose or Build Your Agent(s):

• 
  A product recommendation agent.
• 
  A scheduling agent.
• 
  A document summarization agent.

Use A2A libraries (or reference implementations) to:

Step 2: Implement A2A Interfaces:

• 
  Define your agent’s capabilities and schemas.
• 
  Register your agent for discovery.
• 
  Handle incoming requests and securely delegate tasks.

Step 3: Configure Permissions and Trust Policies:

• 
  Specify which other agents you trust to call your agent and under what conditions.

Step 4: Test Cross-Agent Workflows:

• 
  Validate scenarios where your agent exchanges data or delegates tasks to other agents in the ecosystem.

Step 5: Deploy and Monitor:

• 
  Launch your agent in production and monitor usage, performance, and security events.