A new era of agent interoperability. Enable seamless collaboration between AI agents across different platforms and frameworks.
A2A Protocol is an open standard that enables AI agents to communicate and collaborate across different platforms and frameworks, regardless of their underlying technologies. It's designed to maximize the benefits of agentic AI by enabling true multi-agent scenarios.
Enables agents to work together seamlessly across different platforms and frameworks, regardless of their underlying technologies.
Built with enterprise-grade authentication and authorization, supporting OpenAPI's authentication schemes.
Supports everything from quick tasks to long-running research, with real-time feedback and state updates.
Stay updated with the latest insights, tutorials, and best practices in the A2A Protocol ecosystem.
Discover A2UI, the security-first declarative UI protocol that enables AI agents to generate rich, interactive user interfaces. Learn how A2UI solves the 'Chat Wall' problem, achieves security through data vs. code separation, and enables dynamic cross-platform interfaces. Includes real-world examples and implementation guidance.
Discover A2UI, the declarative UI protocol that enables AI agents to generate rich, interactive user interfaces. Learn how A2UI works, who it's for, how to use it, and see real-world examples from Google Opal, Gemini Enterprise, and Flutter GenUI SDK.
Learn the Agent Gateway Protocol (AGP): what it is, problems it solves, core spec (capability announcements, intent payloads, routing and error codes), routing algorithm, and how to run a working simulation.
The Secure Passport Extension introduces a trusted context layer to the Agent2Agent (A2A) protocol, enabling calling agents to securely and voluntarily share a structured subset of their current context state with called agents. This extension aims to transform anonymous, transactional calls into collaborative partnerships.
"AP2 (Agent Payments Protocol) is a protocol for agent payments that supports both human-present and human-absent commerce flows. This tutorial provides detailed instructions on how to use the AP2 Python sample project."
An intelligent content planning agent based on Google ADK and A2A protocol that creates detailed content outlines from high-level content descriptions.
A2A Protocol is designed with five key principles to enable effective agent collaboration
Built on existing standards including HTTP, SSE, and JSON-RPC for easy integration with existing IT stacks
Enterprise-grade authentication and authorization with support for OpenAPI's authentication schemes
Supports various modalities including text, audio, and video streaming for comprehensive agent communication
Designed to support both quick tasks and deep research that may take hours or days to complete
Enables true multi-agent scenarios where agents can collaborate in their natural, unstructured modalities
Provides real-time feedback, notifications, and state updates throughout the task lifecycle
A2A facilitates communication between a 'client' agent and a 'remote' agent through a structured process
Agents advertise their capabilities using an 'Agent Card' in JSON format, enabling other agents to identify the best agent for a task.
Communication is oriented towards task completion, with a defined lifecycle that can be completed immediately or over time.
Agents can send messages to communicate context, replies, artifacts, or user instructions.
Messages include 'parts' with specified content types, allowing agents to negotiate the correct format and UI capabilities.
The A2A Protocol follows a well-defined flow for agent communication and task processing.
Client fetches the Agent Card from the server's well-known URL.
Client sends initial message with a unique Task ID.
Task reaches terminal state (completed/failed/canceled).
TLDR; Agentic applications needs both A2A and MCP. We recommend MCP for tools and A2A for agents.
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View SpecificationExplore available code samples to understand the protocol's structure and experiment with its implementation.
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