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Vertex AI Agent Builder

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★★★★☆ 4.4 / 5 on G2 · 4.5 on Capterra (50+ G2 reviews)
4.4 / 5
G2 rating, 50+ reviews [source]
Google Cloud
Agents [source]
Usage
Pricing [source]
Gemini
+ ADK [source]

Quick facts

CategoryEcosystem agent platform
VendorGoogle Cloud
Starts atUsage based
Best forAgents on Google Cloud
DeploymentCloud (Google)
Free planTrial/credits
IntegrationsGoogle Cloud, Gemini
G2 rating4.4 / 5
Capterra rating4.5 / 5

What is Vertex AI Agent Builder?

Vertex AI Agent Builder is Google Cloud's platform for building and deploying AI agents (with Gemini and the Agent Development Kit), suited to teams building agents on Google Cloud with enterprise tooling and grounding. Part of Google Cloud's Vertex AI, it provides tools to build, deploy and manage AI agents, including an Agent Development Kit (ADK) for building agents in code, no and low code options, grounding in your data (search and retrieval), Gemini models, and enterprise security, scale and governance. Google Cloud's offering for enterprise agents, Vertex AI Agent Builder is a leading platform for building agents on Google Cloud, grounded and governed. For agents on Google Cloud, Vertex AI Agent Builder is a leading choice.

Vertex AI Agent Builder's distinction is enterprise agent building on Google Cloud with Gemini and grounding. It offers tools to build, ground, deploy and govern agents (code via ADK and lower code options), using Gemini and Google Cloud's data, search and infrastructure, with enterprise security and scale, which neutral frameworks and non Google platforms do not match for Google Cloud integration and enterprise grounding. That Google Cloud integration, Gemini and enterprise grounding set it apart.

Agent Builder at a glanceVertex AI Agent Builder builds and deploys AI agents on Google Cloud with Gemini [Google Cloud]. It holds about a 4.4 out of 5 rating on G2 and 4.5 on Capterra, a leading choice for agents on Google Cloud.

Who Vertex AI Agent Builder is best for

Vertex AI Agent Builder is best for teams and enterprises building on Google Cloud that want to build, ground, deploy and govern AI agents using Gemini and Google Cloud's data and infrastructure, with enterprise security and scale. It suits agents on Google Cloud. It is a weaker fit for those wanting neutral, provider independent frameworks, where LangChain or CrewAI fit, agents native to Microsoft or Salesforce, where Copilot Studio or Agentforce fit, or those not on Google Cloud.

Key features

The core strengths are tools to build, deploy and manage agents (Agent Development Kit for code, and lower code options), grounding in your data (search and retrieval), Gemini models, Google Cloud integration and infrastructure, and enterprise security, scale and governance. Vertex AI Agent Builder offers enterprise agent building on Google Cloud. Its Google Cloud integration, Gemini and enterprise grounding are its defining advantages.

Vertex AI Agent Builder pricing

Vertex AI Agent Builder is usage based (part of Google Cloud, priced by the models, search, retrieval and infrastructure used), with Google Cloud trials and credits, so pricing is pay as you go and tied to your Google Cloud usage, scaling with agents and activity. So costs depend on usage and Google Cloud consumption. Confirm details on the Agent Builder page.

Integrations and ecosystem

Vertex AI Agent Builder integrates with Google Cloud (Vertex AI, data and search services, BigQuery), Gemini models, the Agent Development Kit, and Google's infrastructure, with support for open standards. Its Google Cloud integration and tooling, which ground and run agents on Google's platform, are major strengths for Google Cloud users.

Agent Builder and Google Cloud

Enterprise agent building on Google Cloud with Gemini and grounding is the signature strength: Vertex AI Agent Builder offers tools to build, ground, deploy and govern agents using Gemini and Google Cloud's data and infrastructure, with enterprise security and scale, which neutral frameworks and non Google platforms do not match for Google Cloud integration. For agents on Google Cloud, this is the main reason to choose it.

Ease of use and support

Vertex AI Agent Builder is well rated for building agents on Google Cloud with Gemini, grounding, the Agent Development Kit and enterprise capabilities, valuable for Google Cloud users, with Google's support, though reviewers note it is tied to Google Cloud, has a learning curve, and the field is evolving fast. Its reviews praise Google Cloud grounding, with lock in and complexity the main considerations.

Is Vertex AI Agent Builder worth it?

For teams and enterprises on Google Cloud wanting to build, ground, deploy and govern AI agents using Gemini and Google Cloud, Vertex AI Agent Builder is an excellent choice. The main caution is Google Cloud lock in and a learning curve, so neutral frameworks suit LangChain or CrewAI, and Microsoft or Salesforce agents Copilot Studio or Agentforce, but for agents on Google Cloud Vertex AI Agent Builder leads.

Pricing

Trial / credits

$0
Google Cloud
  • Try building agents
  • Google Cloud credits
  • Evaluation

Usage

Pay as you go
by usage
  • Build and deploy agents
  • Gemini and grounding
  • Teams

Enterprise

Usage / contract
by scale
  • Security and governance
  • Scale
  • Enterprises

Pros and cons

Pros

  • Enterprise agents on Google Cloud
  • Gemini models and grounding
  • Agent Development Kit (code)
  • Google Cloud integration and scale
  • Security and governance

Cons

  • Tied to Google Cloud
  • Learning curve
  • Usage costs scale
  • Evolving fast

Vertex AI Agent Builder alternatives

These ai agent platforms tools come up most often against Vertex AI Agent Builder.

LangChain / LangGraph

Framework for building LLM agent applications

CrewAI

Multi-agent orchestration framework and platform

Microsoft Copilot Studio

Low-code platform for building AI agents

Vertex AI Agent Builder FAQ

What is Vertex AI Agent Builder used for?
Vertex AI Agent Builder is used to build, deploy and manage AI agents on Google Cloud: using Gemini models, an Agent Development Kit for code and lower code options, grounding in your data via search and retrieval, with enterprise security, scale and governance, so teams build grounded, governed agents on Google Cloud.
How much does Vertex AI Agent Builder cost?
Vertex AI Agent Builder is usage based (part of Google Cloud, priced by the models, search, retrieval and infrastructure used), with Google Cloud trials and credits, so cost is pay as you go and depends on your usage. See the Agent Builder page.
What is the Agent Development Kit?
The Agent Development Kit (ADK) is Google's toolkit for building AI agents in code as part of Vertex AI Agent Builder, giving developers a framework to define and build agents, alongside lower code options and grounding, for building agents on Google Cloud.
Vertex AI Agent Builder vs LangChain, which is better?
Vertex AI Agent Builder is Google Cloud's platform for building, grounding and governing agents with Gemini, while LangChain is a neutral, provider independent code framework. Agent Builder suits Google Cloud teams wanting enterprise grounding; LangChain suits neutral, flexible code building.
Does Vertex AI Agent Builder use Gemini?
Yes. Vertex AI Agent Builder uses Google's Gemini models (and Vertex AI), so agents built on it are powered by Gemini and can be grounded in your data via Google Cloud's search and retrieval, which is central to its offering on Google Cloud.
Is Vertex AI Agent Builder good for enterprises?
Yes. Vertex AI Agent Builder is aimed at enterprise agent building on Google Cloud, offering grounding, the Agent Development Kit, Gemini, and enterprise security, scale and governance, suited to organisations on Google Cloud wanting to build and govern agents with enterprise tooling.

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