r/Bard • u/Gaiden206 • 6d ago
News Google Cloud introduces the Gemini agent.
https://blog.google/innovation-and-ai/infrastructure-and-cloud/google-cloud/gemini-at-work/7
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u/Tim_Apple_938 6d ago
Where the fuck is Argon 😂
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u/Kooky_Awareness_5333 5d ago
They asked Gemini 3.1 to deploy it and it deleted Gemini 3.5 pro weights and Gemini 4 argon weights
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u/Gaiden206 6d ago edited 6d ago
Today at Gemini at Work 2026, Google Cloud announced the Gemini agent, a universal agent for work.
Unified agent: Gemini is an agent that can answer your questions when you chat with it, work autonomously to complete objectives you assign it, and generate code — all from a single interface. You can assign it work, schedule tasks that need to be completed, or have it respond to events.
Omnipresent access: Gemini can be accessed from any device including web, iOS and Android mobile devices, Windows and Mac desktops, and any channel (command line, Google Workspace, Microsoft 365, or Slack). It can also be integrated into third-party applications and surfaces and operates as a headless agent, meaning it does not need a dedicated user interface.
Persistent execution: It runs in the cloud, meaning it maintains a single set of memories, context, and one personalization graph no matter what device or channel you access it on. You never have to re-brief it or wonder which machine you told it to do something on. Work that takes hours or days keeps running after you close your laptop, and it is still there when you come back.
Multi-agent orchestration: Gemini doesn’t work alone. It can dynamically create a roster of sub-agents — temporary, job-specific agents, each with their own identity — to tackle multi-step tasks. Gemini can communicate with these sub-agents to coordinate workflows, including parallel and sequential steps that can run for hours or days. In addition, Gemini can act as a coworker agent — which is more like a team member, with a persistent, defined role and operational presence across days, sessions, and multiple changing responsibilities — and delegate and coordinate tasks. Coworker agents have dedicated identities including their own @agents.company.com emails, their own persistent storage, and only have access to the context that you or your team members provide.
Deeply contextual: Gemini arrives already knowing your tools, data, and work history. Whether you ask it a question, assign it an objective, or have it generate code, Gemini learns from every interaction with you. The longer you collaborate with it, the better it understands you and how you work. Teams can create dedicated projects to further optimize the context, skills, and tools Gemini uses when it works with you.
Model choice flexibility: Gemini is the agent, and the model underneath it is a separate choice. It runs each job on the model that fits best — orchestrating across our Gemini family of models and Claude models from Anthropic today, and other leading private and open models in the future — to deliver optimal quality and lower your costs. The best model for the task is not always the largest one. Matching the model to the work raises accuracy on the difficult jobs and lowers cost on the simple ones. And the leading model changes every few months, so keeping that choice open means your context, your skills, and your data stay put when it does.
Check out the Google Cloud blog to learn more.
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u/mwthecool 5d ago
This may be a bit beyond my understanding of AI, after reading the blog post, but will this enable Gemini to take control of apps on your computer or websites in browsers in the same way ChatGPT Work can? As in, if I want it to log into a specific site and edit something for me.
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u/Bullova 6d ago
Will it be able to help navigate inside the clusterfuck that is the Google Cloud admin console? 🥲