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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Gemini Computer Use is an agentic computer interaction capability built into Gemini 3.5 Flash. It enables developers and enterprises to create AI agents that can work across browser, desktop, and mobile environments by seeing interfaces, reasoning through tasks, and taking action. The capability was previously offered through a standalone Gemini 2.5 computer use model, but is now natively integrated into Gemini 3.5 Flash. This gives developers access to stronger performance for agentic computer use tasks while also combining with Gemini’s existing strengths in function calling, Search grounding, Maps grounding, and built-in tools. Gemini Computer Use is designed for long-horizon automation, continuous software testing, enterprise knowledge work, and workflows that span multiple professional applications. Developers can start building with the feature through the Gemini API or Gemini Enterprise Agent Platform. Google also provides a demo environment through Browserbase for testing the capability. Safety controls include targeted adversarial training for live-environment risks, optional explicit user confirmation for sensitive or irreversible actions, and automatic task stopping when indirect prompt injection is identified. Gemini Computer Use helps organizations build practical AI agents that can complete complex digital tasks while supporting sandboxing, human review, and strict access controls.

Description

Gemini Managed Agents offers an intuitive visual interface for users to prototype and gain insights into the development of managed agents without the need for manual API calls. With the Gemini API, developers can utilize a configurable agent framework that allows for a single API call to set up a secure Linux environment, enabling the agent to autonomously reason, execute code, handle files, and navigate the web. Within AI Studio Playground, users can easily access the Agents tab to begin their projects using pre-designed templates that set up the foundational Antigravity Agent alongside various tools, environmental configurations, directives, and competencies. This Antigravity Agent serves as a versatile managed agent, driven by Gemini 3.5 Flash, equipped to execute code, oversee file management, conduct online searches, and be personalized with additional instructions, skills, and information. The characteristics, persona, and functionalities of the agents are determined by specific files within their environment, such as AGENTS.md for overarching system directives and persona, as well as SKILL.md files that detail particular capabilities and processes. By utilizing these resources, developers can enhance their agents' performance and tailor their functionalities to suit specific needs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Gemini
Gemini 3.5 Flash
Agno
Eigent
Gemini 3.5 Pro
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Google Antigravity
LiteLLM
LlamaIndex
Python
Vercel

Integrations

Gemini
Gemini 3.5 Flash
Agno
Eigent
Gemini 3.5 Pro
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Google Antigravity
LiteLLM
LlamaIndex
Python
Vercel

Pricing Details

Free
Free Trial
Free Version

Pricing Details

$1.50 per 1M tokens
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

gemini.google.com

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

aistudio.google.com/managed-agents

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