News from the AI & ML world

DeeperML

@www.analyticsvidhya.com //

Google Enhances Vertex AI with Open Source Agent Development

Google Cloud Next '25 saw a major push into agentic AI with the unveiling of several key technologies and initiatives aimed at fostering the development and interoperability of AI agents. Google announced the Agent Development Kit (ADK), an open-source framework designed to simplify the creation and management of AI agents. The ADK, written in Python, allows developers to build both simple and complex multi-agent systems. Complementing the ADK is Agent Garden, a collection of pre-built agent patterns and components to accelerate development. Additionally, Google introduced Agent Engine, a fully managed runtime in Vertex AI, enabling secure and reliable deployment of custom agents at a global scale.

Google is also addressing the challenge of AI agent interoperability with the introduction of the Agent2Agent (A2A) protocol. A2A is an open standard intended to provide a common language for AI agents to communicate, regardless of the frameworks or vendors used to build them. This protocol allows agents to collaborate and share information securely, streamlining workflows and reducing integration costs. The A2A initiative has garnered support from over 50 industry leaders, including Atlassian, Box, Cohere, Intuit, and Salesforce, signaling a collaborative effort to advance multi-agent systems.

These advancements are integrated within Vertex AI, Google's comprehensive platform for managing models, data, and agents. Enhancements to Vertex AI include supporting Model Context Protocol (MCP) to ensure secure data connections for agents. In addition to software advancements, Google unveiled its seventh-generation Tensor Processing Unit (TPU), named Ironwood, designed to optimize AI inferencing. Ironwood offers significantly increased compute capacity and high-bandwidth memory, further empowering AI applications within the Google Cloud ecosystem.

Share: bluesky twitterx--v2 facebook--v1 threads


References :
  • AI & Machine Learning: Vertex AI offers new ways to build and manage multi-agent systems
  • Thomas Roccia :verified:: Google just dropped A2A, a new protocol for agents to talk to each other.
  • Ken Yeung: Google Pushes Agent Interoperability With New Dev Kit and Agent2Agent Standard
  • techstrong.ai: Google Unfurls Raft of AI Agent Technologies at Google Cloud Next ’25
  • Analytics Vidhya: Google's new Agent2Agent (A2A) protocol enables seamless AI agent collaboration across diverse frameworks, enhancing enterprise productivity and automating complex workflows.
  • techstrong.ai: Google Unfurls Raft of AI Agent Technologies at Google Cloud Next ’25
  • Data Analytics: Next 25 developer keynote: From prompt, to agent, to work, to fun
  • www.analyticsvidhya.com: Agent-to-Agent Protocol: Helping AI Agents Work Together Across Systems
  • TestingCatalog: Google's new Agent2Agent (A2A) protocol enables seamless AI agent collaboration across diverse frameworks, enhancing enterprise productivity and automating complex workflows.
  • www.aiwire.net: Google Cloud Preps for Agentic AI Era with ‘Ironwood’ TPU, New Models and Software
  • PCMag Middle East ai: At Google Cloud Next, We're Off to See the AI Agents (And Huge Performance Gains)
  • Ken Yeung: Google’s Customer Engagement Suite Gets Human-Like AI Agents with Voice, Emotion, and Video Support
  • TheSequence: The Sequence Radar #531: A2A is the New Hot Protocol in Agent Land
  • bdtechtalks.com: How Google’s Agent2Agent can boost AI productivity through inter-agent communication
  • bdtechtalks.com: News article on how Google’s Agent2Agent can boost AI productivity.
  • www.infoq.com: News article on Google releasing the Agent2Agent protocol for agentic collaboration.
  • medium.com: Security Analysis: Potential AI Agent Hijacking via MCP and A2A Protocol Insights
Classification: