DeepYard

Google Agent Development Kit vs Google Vertex AI Agent Builder

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Google Agent Development Kit suits teams needing open-source access, multi agent focus, and 21,220 GitHub stars in current listing data. Google Vertex AI Agent Builder suits teams needing paid free tier, typescript focus, and no listed GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
G

Google Agent Development Kit

Google's official framework for building AI agents — 18K+ stars

OSSFree
21.2Ktoday418
G

Google Vertex AI Agent Builder

Google Cloud's platform for building grounded AI agents with Gemini

commercialpaid
MetricGoogle Agent Development KitGoogle Vertex AI Agent Builder
GitHub Stars21.2K
Contributors418
Last CommitAug 21, 2026
Open Issues538
Licenseopen-sourcecommercial
Pricingopen-sourcepaid
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Google Agent Development Kit if you need

  • Google Agent Development Kit is the better fit when you need open-source licensing instead of commercial terms.
  • Google Agent Development Kit is the stronger pick when Multi Agent matters because that capability is listed only on its profile.
  • Google Agent Development Kit shows broader GitHub adoption with 21,220 stars versus 0 for Google Vertex AI Agent Builder.

Choose Google Vertex AI Agent Builder if you need

  • Google Vertex AI Agent Builder stands out for Typescript workflows that are not listed for Google Agent Development Kit.
  • Google Vertex AI Agent Builder is the stronger pick when Managed Agents matters because that capability is listed only on its profile.
  • Google Vertex AI Agent Builder is the cleaner fit if you specifically need Enterprise workflows from the catalog tags.

Meaningful differences

  • Pricing model: Google Agent Development Kit is listed as open-source, while Google Vertex AI Agent Builder is listed as paid from Pay per query.
  • License: Google Agent Development Kit uses open-source, while Google Vertex AI Agent Builder uses commercial.
  • Workflow emphasis: Google Agent Development Kit highlights Python, while Google Vertex AI Agent Builder highlights Typescript.
  • GitHub adoption: Google Agent Development Kit shows 21,220 stars versus 0 for Google Vertex AI Agent Builder.
  • Contributor count: Google Agent Development Kit lists 418 contributors and Google Vertex AI Agent Builder lists 0.

Shared capabilities

  • Google
  • Gemini
  • Cloud

Shared Tags

googlegeminicloud

Only in Google Agent Development Kit

multi-agenttool-usepythonopen-source

Only in Google Vertex AI Agent Builder

enterprisemanagedagentsgrounding

Limitations and evidence

  • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

About Google Agent Development Kit

The Google Agent Development Kit (ADK) is an open-source Python framework for building AI agents with Google's Gemini models and ecosystem. Provides primitives for tool use, multi-agent orchestration, memory, and integration with Google Cloud services. Designed for production deployment at scale.

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About Google Vertex AI Agent Builder

Vertex AI Agent Builder is Google Cloud's platform for creating AI agents powered by Gemini models. It provides a no-code console and SDK for building agents with Google Search grounding, enterprise data connectors, and multi-turn conversation support. Agents can be deployed across web, mobile, and voice channels with built-in analytics, A/B testing, and enterprise security controls.

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