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Gemini Enterprise Agent Platform (formerly Vertex AI Agent Builder)

Google’s tool for building, deploying, and managing AI agents with Vertex AI integration.

Our take: Vertex AI Agent Builder bundles a code-first Agent Development Kit (ADK), a low-code Agent Studio, 200+ foundation models (Gemini, Claude, and more), a managed Agent Engine runtime, persistent memory, RAG, and enterprise governance into one pay-as-you-go platform.

Best forAI Developers
ReviewedPricing: Freemium
7.8 out of 105 criteria · see breakdown
Try GeminiFree tier + $300 trial credit; usage-based
Vertex AI Agent Builder is now Gemini Enterprise Agent Platform

On 22 April 2026 Google Cloud introduced Gemini Enterprise Agent Platform as the evolution of Vertex AI. Google's Agent Builder and Vertex AI product pages now redirect to the Gemini Enterprise Agent Platform page.

Checked October 3, 2026
The bottom line

The most feature-complete managed agent platform available — purpose-built for GCP teams that need enterprise-grade agents without managing infrastructure.

Our score

Reviewed by the Conversion Gems editorial team. Hover a facet to focus it; click to pin.Tap a facet to focus it.

Community ratings

Shown for context only. Our score is independent.

G2
4.3 out of 5
650+ reviews

4.3 / 5 aggregate · across 1 source

Third-party ratings shown verbatim; aggregate weighted by review volume.

What it is, and why we rate it

One line each. Open a row for detail.

What it really isGoogle Vertex AI Agent Builder — Google Cloud's end-to-end platform for building, deploying, and governing production AI agents.
Our takeVertex AI Agent Builder bundles a code-first Agent Development Kit (ADK), a low-code Agent Studio, 200+ foundation models (Gemini, Claude, and more), a managed Agent Engine runtime, persistent memory, RAG, and enterprise governance into one pay-as-you-go platform.
Billing is purely usage-based with an always-free tier (50 vCPU-hours and 100 GB-hours monthly) plus $300 in trial credits for new customers. At Google Cloud Next 2026 the product was rebranded to Gemini Enterprise Agent Platform and merged with Agentspace.
Why we rate itUnmatched breadth for GCP shops: one platform covers low-code prototyping through production-grade development, managed runtime, 200+ models, RAG, and enterprise security — while staying open to third-party agent frameworks.
The catchCosts compound fast across multiple billing dimensions (compute + sessions + search + model tokens); teams without GCP cost-monitoring discipline can face bill shock.
Platform breadth also means a steeper ramp than point-solution alternatives.

Best / not good for

Best for
  • GCP-native enterprises building autonomous multi-step workflow agents
  • AI engineers needing multi-framework flexibility (LangChain, LlamaIndex, ADK)
  • Teams requiring enterprise governance, audit trails, and managed scaling
Not good for
  • Solo developers or startups wanting a simple no-code chatbot builder
  • Teams outside GCP ecosystem looking to minimize cloud lock-in
  • Projects requiring flat, predictable monthly pricing
Trade-offs

Friction report

Trade-offs to know before signing up.

  1. Time to value
    Moderate: Agent Studio and free credits lower the barrier, but wiring Agent Engine, memory, and search into a production agent requires meaningful GCP setup time.
  2. Scale breakpoint
    Multi-dimensional usage costs (compute + sessions + search + model tokens) escalate sharply above moderate query volumes; proactive budget alerts and quota management are essential.
  3. Walled garden
    Moderate: agent frameworks are open (LangChain/LlamaIndex/ADK), but managed runtime, memory, and RAG are GCP-native — migrating a production deployment is non-trivial.
Still a fit?
If none of these block you, start on the free plan.
Try Gemini

Frequently Asked Questions

How can Google Vertex AI Agent Builder assist with AI agent creation?

Google Vertex AI Agent Builder assists with AI agent creation by simplifying deployment and orchestration.

How is Google Vertex AI Agent Builder used for AI applications?

Google Vertex AI Agent Builder is used for creating, deploying, and managing AI applications and agents efficiently.

How can Google Vertex AI Agent Builder assist with AI model deployment?

Google Vertex AI Agent Builder assists with AI model deployment, training, and integration into scalable applications.

What is Google Vertex AI Agent Builder used for?

Google Vertex AI Agent Builder is used to create, train, and deploy AI agents and models.

What is Google Vertex AI Agent Builder used for in AI applications?

Google Vertex AI Agent Builder is used in AI applications to create, deploy, and manage intelligent agents and workflows.

Alternatives

  • Step up

    Gemini Enterprise Agent Platform / Agentspace for enterprise-wide agent governance and workforce-facing deployments at organizational scale.

  • Lighter alternative

    Dialogflow CX for teams that need a managed conversational agent without full Vertex AI infrastructure complexity.

Showing 1–2 of 2

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Tags

#AIAgents#AIWorkflowAutomation#AgentFramework

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