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Google Cloud unveils persistent Gemini Agents that run long tasks and get their own Gmail, Calendar, and Drive storage

VentureBeat reports that Google Cloud has unveiled persistent Gemini Agents built for long-running tasks. The agents also get their own Gmail, Calendar, and Drive storage.

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谷歌云推出持久化Gemini Agents,可运行长任务并拥有独立的Gmail、日历与Drive存储
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VentureBeat reports that Google Cloud has unveiled persistent Gemini Agents built for long-running tasks. Unlike one-off conversational calls, these agents are designed to keep working over extended periods.

The report notes that the agents also get their own Gmail, Calendar, and Drive storage. That means they do not merely take instructions; they can read and write email, schedules, and files inside dedicated account spaces.

Persistence is the keyword here. It means an agent can hold state and carry a task forward over time instead of restarting at every step. For workflows that span hours or even days, that is what determines whether an agent is genuinely useful.

Giving each agent its own mail, calendar, and cloud storage pushes the idea further, from demo toward an operating environment. An agent can check a schedule, handle email, and access documents much like a team member, while a company can keep those resources walled off from primary accounts.

Competitively, Google Cloud is steering Gemini toward long-running, semi-autonomous operation, placing it directly against other cloud vendors building agent platforms. For enterprise buyers, whether a long task can be safely handed to an agent is becoming a central selection question.

What to watch next: how broadly these persistent agents are opened up, how they are priced, and how Google Cloud constrains the permissions and security of agents that hold their own storage.

Why it matters

Persistent agents move the capability from single conversations into ongoing operations, and handing them their own mail, calendar, and storage lets them enter real workflows. That raises the bar for permission isolation and security controls in enterprise agent platforms.

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