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Google Cloud NEXT 2025 showcased significant advancements in Agentic AI, highlighting Google’s commitment to making AI more practical and integrated for enterprises. Here are the top 5 highlights:
- Introduction of the Agent Development Kit (ADK): This open-source framework simplifies the creation of sophisticated multi-agent systems. The ADK allows developers to build agents with reasoning, planning, and memory capabilities in under 100 lines of code. It also supports the Model Context Protocol (MCP), enabling agents to interact with diverse data sources and tools seamlessly.
- Launch of the Agent2Agent (A2A) Protocol: Google Cloud introduced the industry’s first open protocol for AI agents to communicate and collaborate securely across different vendors and frameworks. This initiative, supported by over 50 partners, aims to foster a multi-agent ecosystem where agents can exchange information and coordinate actions across various enterprise platforms.
- Unveiling of Agent Garden and AI Agent Marketplace: To accelerate agent development and adoption, Google Cloud launched the Agent Garden, a repository of ready-to-use agent samples and tools accessible within the ADK. Complementing this is the AI Agent Marketplace, where customers can discover and select pre-built AI agents from various partners to integrate into their Google Cloud environment.
- Advancements in Vertex AI for Agent Management: Google Cloud introduced new features in Vertex AI to streamline the tuning, deployment, and management of AI models powering agents. These include Vertex AI Dashboards for monitoring agent performance, enhanced model customization and tuning capabilities, and the Vertex AI Model Optimizer for cost-efficient high-quality responses. The Live API enables real-time processing of audio and video for more immersive agent applications.
- Integration of Agentic AI into Google Workspace: Google is embedding AI agents directly into Workspace applications to enhance productivity. Features like “Help me analyze” in Sheets, audio generation in Docs, and Workspace Flows for automating multi-step tasks with agentic AI demonstrate the practical application of AI agents in everyday work. Google Agentspace further empowers employees to create and utilize custom agents for their specific workflows through intuitive interfaces like the no-code Agent Designer.