Your comprehensive resource for Google's Agent-to-Agent (A2A) protocol implementations and servers.
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Agent-to-Agent (A2A) is an open protocol developed by Google for enabling interoperability between AI agents.
The A2A protocol enables seamless communication between AI agents built on different frameworks and platforms. It allows agents to discover each other's capabilities, negotiate interaction methods, and collaborate securely, regardless of their underlying architecture or vendor.
A2A defines a standardized way for agents to communicate through HTTP APIs, supporting various content types including text, files, and structured data. This enables rich interactions between agents and facilitates complex multi-agent workflows.
With A2A, developers can build interoperable agent ecosystems where specialized agents can work together to solve complex problems, enhancing the capabilities and flexibility of AI systems.
Explore the powerful capabilities of the A2A protocol
Utilizes Agent Cards—public metadata files that detail an agent's capabilities, skills, endpoint URL, and authentication requirements.
Defines tasks as central units of work with unique IDs and standardized states, ensuring consistent handling across agents.
Supports various content types through Parts and Artifacts, including text, files, and structured data.
Offers streaming updates for long-running tasks via Server-Sent Events (SSE) and supports push notifications.
Uses JSON for structured data exchange, making it easy to integrate with existing systems and frameworks.
Works across different platforms, languages, and frameworks, enabling true interoperability between diverse agent systems.
A comprehensive listing of A2A implementations and servers.
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Learn more about A2A from these official sources
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