Google Cloud unveils persistent Gemini Agents for enterprise tasks

Google Cloud unveiled persistent Gemini Agents on April 22, 2026 at Google Cloud Next in Las Vegas, giving each agent its own Gmail inbox, Calendar, and Drive storage and a maximum autonomous runtime of 7 days. The agents run inside the Gemini Enterprise Agent Platform, an evolution of Vertex AI that offers access to over 200 models including Gemini 3.1 and Anthropic's Claude, plus an Agent Development Kit, Agent Studio, Agent Runtime, and a Memory Bank for retaining context. Google is positioning the platform against Microsoft Azure and AWS for enterprise AI spending, leaning on Workspace distribution and cryptographic agent identities.

Google Cloud unveils persistent Gemini Agents for enterprise tasks The new agents get their own email, calendar, and Drive storage, and can keep working on a single job for days at a time Google Cloud wants its AI agents to stop acting like chatbots and start acting like colleagues. The company has unveiled Gemini Agents that can run long tasks, move across multiple apps, and keep their own email inbox, calendar, and Drive storage. The announcement came on April 22, 2026, at Google Cloud Next, the company’s annual conference in Las Vegas. The agents sit inside a broader product called the Gemini Enterprise Agent Platform. It is built to help businesses build, scale, govern, and fine-tune autonomous AI agents powered mainly by Gemini models. What Google actually shipped Under the hood, it is an evolution of Vertex AI, Google https://cryptobriefing.com/markets/alphabet/ ’s existing machine learning platform. Instead of just hosting models, it now handles the full lifecycle of agents that are expected to operate on their own. These agents can work autonomously on complex enterprise tasks for up to several days. Subsequent updates set the maximum runtime at 7 days. A feature called Memory Bank lets agents retain context over time, so they don’t forget what they were doing halfway through a workflow. Google also built in a stack of developer tools. The lineup includes: Agent Development Kit ADK : a code-based toolkit for engineers who want full control over how agents are built. Agent Studio: a low-code environment for teams that would rather drag and drop than write Python. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Agent Runtime: the infrastructure that keeps agents running continuously. Gemini Enterprise app: the main user-facing interface, where people discover, create, and manage their agents. Model choice is broad. The platform offers access to over 200 models, including Gemini 3.1 and third-party options such as Anthropic https://cryptobriefing.com/markets/anthropic/ ’s Claude models. Why the inbox matters The Workspace integration connects deeply with Gmail, Calendar, and Drive, and agents come with a persistent identity of their own. Giving an agent its own email and calendar means it can operate as a distinct participant in a workflow. It can receive requests, schedule things, and store files without masquerading as a human employee. Security is part of the pitch, too. Google says the platform uses cryptographic agent identities, which are essentially tamper-resistant digital ID badges that verify an agent is who it claims to be. How the platform has evolved since launch Updates in July 2026 expanded the availability of the extended runtime and memory features, strengthening the platform’s ability to handle lengthy workflows. Product documentation has continued to be updated, with versions current as of early October 2026. What this means for the cloud wars Google Cloud is positioning this platform squarely against Microsoft Azure and AWS in the race for enterprise AI spending. Google’s advantage here is Workspace. Agents that natively live inside Gmail, Calendar, and Drive give Google a distribution channel that pure infrastructure providers cannot easily replicate. Offering Anthropic’s Claude alongside Gemini makes the platform more attractive to customers who want flexibility. It also means Google is competing on tooling and governance rather than locking customers into a single model family. Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy https://cryptobriefing.com/editorial-policy/ .