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Summaries are not the original full articles. ## Google introduces the A2Family of open source protocols and tools for AI agents DevFeed: [Google introduces the A2Family of open source protocols and tools for AI agents]() Original publisher: [Read original article]() Author: Google Open Source (noreply@blogger.com) Published: 2026-04-23T18:30:00Z Content type: article Language: en Sources: [Google Open Source Blog]() Topics: [A2A protocol](), [Artificial Intelligence](), [interoperability](), [Model Context Protocol](), [Open Source](), [linux foundation]() Tags: [a2a](), [a2a-protocol](), [a2ui](), [adk](), [agent2agent](), [agents](), [ai](), [ai-agents](), [ap2](), [interoperability](), [linux-foundation](), [open-source]() ### AI overview Google presents the A2Family, a suite of open source protocols and tools for building, connecting, and scaling AI agents. The article describes A2A for agent interoperability, its relationship with MCP and skills, and A2UI for rendering interactive interfaces without executing arbitrary code. ### Source excerpt by Daryl Ducharme, Google Open Source & Alan Blount, Cloud AI At Google, we know that building on open source gives teams the freedom and flexibility to use meaningful technologies faster. Openness drives innovation and security, and it is core to our mission. As we look toward the future of computing, we want to ensure that developers across all open source communities have the foundational tools they need to build secure and collaborative AI systems. That is why we are excited for you to get to know the "A2Family"--a suite of open source protocols and tools designed to help you build, connect, and scale your AI agents. A2A: The cornerstone of agent interoperability The Agent2Agent (A2A) Protocol is an open standard designed to enable seamless communication and collaboration between AI agents. It provides the definitive common language for agent interoperability in a world where agents are built using diverse frameworks and by different vendors. Originally developed by Google, A2A has now been donated to the Linux Foundation. As a famous open source aphorism reminds us: "If you want to go fast, go alone. If you want to go far, go together." A2A brings this collaborative philosophy to AI, allowing agents to delegate sub-tasks, exchange information, and coordinate actions to solve complex problems that a single agent cannot. MCP & Skills: Agents need tools and skills Since day one A2A has loved MCP, and we love skills too ♥. Agents discover, negotiate, converse, make plans, adapt when those plans don't work out - that's a different interaction pattern than a tool and that's what A2A was built for. But for your agents to function, they need access to tools, and instructions on how to use those tools safely and securely. While MCP and A2A might not be from the same origin story, they are a family that works better together. When you're not sure - if it's a quick deterministic resource or action, it's a tool, but if you may end up with a conversation, it's an agent. Ano ## A year of open collaboration: Celebrating the anniversary of A2A DevFeed: [A year of open collaboration: Celebrating the anniversary of A2A]() Original publisher: [Read original article]() Author: Google Open Source (noreply@blogger.com) Published: 2026-04-16T20:55:00Z Content type: opinion Language: en Sources: [Google Open Source Blog]() Topics: [A2A protocol](), [Artificial Intelligence](), [Google](), [interoperability](), [Open Source](), [linux foundation](), [Security](), [Load Balancing]() Tags: [a2a](), [a2a-protocol](), [a2april](), [agent2agent](), [agents](), [ai](), [ai-agents](), [amazon](), [amazon-web-services](), [cisco](), [cryptographic](), [interoperability](), [linux-foundation](), [load-balancing](), [microsoft](), [open-source](), [sap](), [security](), [specifications](), [standard]() ### AI overview Google reflects on the first year of the Agent2Agent (A2A) protocol, including its donation to the Linux Foundation, the growth of its supporting ecosystem, and the release of A2A Protocol v1.0. The article highlights security, enterprise architecture, and interoperability improvements for multi-agent workflows. ### Source excerpt by Patricia Cruz, Google Open Source One year ago, on April 9th, 2025 Google announced the Agent2Agent(A2A) protocol. We saw the need for a "common language" that allows AI agents built on different frameworks to collaborate well across diverse systems. Then, on June 23, 2025 at the Open Source Summit North America in Denver, Mike Smith stood on stage to share a pivotal moment for the future of AI interoperability when Google officially donated the A2A protocol to the Linux Foundation, establishing it as a vendor-neutral, community-governed standard. This move was driven by a core belief: for AI agents to truly transform how we work and live, they must be able to communicate across framework boundaries and organizational silos without being locked into a single provider's ecosystem. By placing A2A under the neutral stewardship of the Linux Foundation, we opened the doors for the entire industry to build, contribute, and innovate together. A Foundation of Partners The formation of the A2A Project was made possible through the support of our founding members, including Amazon Web Services, Cisco, Microsoft, Salesforce, SAP, and ServiceNow. Over the past twelve months, this coalition has grown, with over 100 technology companies now supporting the project. From Prototype to Production The momentum since the donation has been remarkable. What began as a Google-led initiative has evolved into critical infrastructure for horizontal, peer-to-peer collaboration. Just one month ago, in March, the project reached a major milestone with the release of A2A Protocol v1.0, the first stable, fully production-ready version of the standard. Key achievements from the community this year include: Enhanced Security: The implementation of Signed Agent Cards for cryptographic identity verification, ensuring trust in multi-agent workflows. Web-Aligned Architecture: Refined specifications that support familiar load-balancing and security patterns for enterprise-scale deployments. Ecosystem