Vertex AI Agent Builder, part of Google Cloud since 2024, covers more of the agent lifecycle than a runtime-only product: no-code and code-first paths for actually building an agent sit alongside deployment and management tools, all tied closely to Google's own Gemini models and, distinctively, Google Search grounding for answers that need current, verifiable information.
That Search-grounding capability is a specific differentiator from other cloud agent platforms: an enterprise agent can ground its answers in live web results through Google's own search infrastructure, alongside a company's private data, rather than relying solely on a model's training data or internal documents. Deep integration with the rest of Google Cloud's data and AI services rounds out the platform for teams already building on GCP.
There's no free consumer tier; pricing runs on Google Cloud's usage-based model. For an enterprise already building on Google Cloud that wants an agent platform combining actual building tools, beyond a runtime alone, with Gemini models and Google Search grounding specifically, Vertex AI Agent Builder targets that combination more directly than competitors without Google's search infrastructure behind them.
