The comprehensive discovery platform for AI agents supporting the Agent-to-Agent (A2A) protocol. Built with support from 50+ technology partners to create a new era of Agent Interoperability.
We believe that AI agents should work together seamlessly to solve complex problems. Our platform makes it easy to discover, evaluate, and integrate AI agents that follow the Agent-to-Agent protocol, enabling developers to build more powerful and collaborative AI systems.
A2A Agent Catalog serves as the central hub for discovering and connecting A2A-compatible agents, making it easier for developers and enterprises to build interoperable AI ecosystems that maximize productivity and innovation.
Choose from the most popular frameworks that support A2A protocol integration. Each framework offers unique approaches to building and orchestrating AI agents.
Multi-agent conversation framework that enables multiple agents to converse with each other to solve complex tasks collaboratively.
Learn MoreFramework for orchestrating role-playing, autonomous AI agents to work together and tackle complex tasks as a cohesive team.
Learn MoreLibrary for building stateful, multi-actor applications with LLMs, built on top of LangChain for complex workflows.
Learn MoreAI agents offer a unique opportunity to help people be more productive by autonomously handling many daily recurring or complex tasks. Today, enterprises are increasingly building and deploying autonomous agents to help scale, automate and enhance processes throughout the workplace–from ordering new laptops, to aiding customer service representatives, to assisting in supply chain planning.
To maximize the benefits from agentic AI, it is critical for these agents to be able to collaborate in a dynamic, multi-agent ecosystem across siloed data systems and applications. Enabling agents to interoperate with each other, even if they were built by different vendors or in a different framework, will increase autonomy and multiply productivity gains, while lowering long-term costs.
Google has launched a new, open protocol called Agent2Agent (A2A), with support and contributions from more than 50 technology partners and leading service providers. The A2A protocol allows AI agents to communicate with each other, securely exchange information, and coordinate actions on top of various enterprise platforms or applications.
The Agent2Agent (A2A) Protocol is an open standard designed to enable seamless communication and collaboration between AI agents. In a world where agents are built using diverse frameworks and by different vendors, A2A provides a common language, breaking down silos and fostering interoperability.
A2A is an open protocol that complements Anthropic's Model Context Protocol (MCP), which provides helpful tools and context to agents. Drawing on Google's internal expertise in scaling agentic systems, the A2A protocol addresses the challenges identified in deploying large-scale, multi-agent systems for enterprise customers.
A2A facilitates communication between a "client" agent and a "remote" agent. A client agent is responsible for formulating and communicating tasks, while the remote agent is responsible for acting on those tasks in an attempt to provide the correct information or take the correct action.
Agents can advertise their capabilities using an 'Agent Card' in JSON format, allowing client agents to identify the best agent for a task.
Communication oriented towards task completion with defined lifecycle, supporting both immediate and long-running tasks with status synchronization.
Agents can send each other messages to communicate context, replies, artifacts, or user instructions.
Each message includes 'parts' with specified content types, allowing agents to negotiate formats and UI capabilities like iframes, video, web forms.
Start building interoperable AI agents today with the A2A protocol. Join the growing ecosystem of developers and enterprises creating the future of AI collaboration.