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Vertex AI Agent Builder

Vertex AI Agent Builder AI Agent
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Overview

Google Cloud tooling for building, deploying and governing agents connected to enterprise data and tools.

Vertex AI Agent Builder’s official product destination now leads to Gemini Enterprise Agent Platform. Teams can develop agents with ADK, design workflows in Agent Studio and connect private data through retrieval services. The platform also provides managed deployment and governance tools for enterprise applications.

A useful starting point is a bounded workflow, such as answering questions from approved company documents or invoking a permitted business API. Your team configures the Google Cloud project, model, data permissions and tools, then evaluates responses and decides which actions need approval. Charges depend on the selected model, runtime and supporting services. The video below is a 2024 Google Cloud introduction and uses the earlier branding.

Product overview

Capabilities, pricing and fit

Google Cloud tooling for building, deploying and governing agents connected to enterprise data and tools.

Information as of October 12, 2026

What it can do

  • Agent development

    ADK supports code-based development; Agent Studio provides a low-code canvas.[1]

  • Enterprise knowledge

    RAG Engine and Vector Search connect applications with private information.[1]

Where it fits best

  • Building agents grounded in company data[1]
  • Deploying governed enterprise workflows[1]

Pricing and availability

Usage-based Google Cloud charges vary by model, tokens and supporting runtime or data services. Estimate the complete workflow rather than treating model-token prices as the full bill.[3]

Access: Google Cloud; project, credentials, billing and service permissions required.[1]

Sources (3)
  1. Gemini Enterprise Agent Platform documentationOfficial site · checked 2026-10-12
  2. Google Cloud agent platformOfficial site · checked 2026-10-12
  3. Google Cloud model pricingOfficial site · checked 2026-10-12

Autonomy level

76/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: The platform can execute configured agent workflows, retrieve approved information and call tools. Developers define objectives, service permissions, data access and approval boundaries; business owners evaluate results and retain responsibility for consequential actions. Managed hosting does not remove this setup and oversight.

Comparisons


Custom Comparisons

Some of the use cases of Vertex AI Agent Builder:

  • Building agents grounded in company data
  • Deploying governed enterprise workflows

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Popularity level: 66%

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