Why AI Agents Should Have Their Own Sandbox — Philipp Schmid, Google DeepMind

This post introduces the Gemini Interactions API and its managed cloud sandbox feature for AI agents. It proposes replacing traditional user/model turns with a timeline of steps for agentic applications, enabling server-side state management and long-running background jobs. The core contribution is the concept of a managed sandbox for each agent, providing a persistent, shareable environment where agents can execute code, install tools, and acquire skills and AGENTS.md files automatically. This facilitates the development of complex agentic applications, demonstrated by an AI talk radio show generated from a single prompt.