Overview

• Google’s Agent Development Kit (ADK) allows enterprises to prototype AI agents in under 100 lines of code, supporting both Gemini and third-party models like those from Anthropic and Meta.
• Agent Engine provides a managed runtime environment for deploying, testing, scaling, and monitoring AI agents securely in production settings.
• The Agent2Agent (A2A) protocol enables interoperability among AI agents built on different frameworks, with over 50 partners, including Deloitte and Salesforce, contributing to its development.
• Security features such as content filters, identity controls, and automated monitoring address enterprise concerns over data protection and cost management.
• Early adoption examples include Renault Group, which has used the tools to optimize EV charger placement using geospatial and traffic data.