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Head-to-head · AI Agent Platforms

Google Agent Development Kit vs Dify

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score Google Agent Development Kit #4 in AI Agent Platforms 9.1/10 Free plan Free plan✓ 5 of 5 features Visit Google ADK
Dify #12 in AI Agent Platforms 8.3/10 Free plan Free plan✓ 4 of 5 features Visit Dify

Google Agent Development Kit leads on 0 checks, Dify on 0, and 6 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreGoogle Agent Development Kit · 9.1/10
  • Free planboth
  • Most featuresGoogle Agent Development Kit · 5 of 5

Google Agent Development Kit scores higher on our rubric for ai agent platforms: 9.1 against 8.3 out of 10; our editors rank them #4 and #12.

Google Agent Development Kit is the better fit for developers building flexible open-source agents. Dify is the better fit for teams wanting a broad, affordable agent builder.

  • Google Agent Development Kit fits best

    Developers building flexible open-source agents

  • Dify fits best

    Teams wanting a broad, affordable agent builder

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Side by side

Feature Google Agent Development Kit 9.1/10 Visit ↗ Dify 8.3/10 Visit ↗
At a glance
Editor score 9.1 8.3
Ranking #4 in AI Agent Platforms #12 in AI Agent Platforms
Best for Developers building flexible open-source agents Teams wanting a broad, affordable agent builder
Pricing model Free Free plan + paid
Starting price Free plan —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Community, Docs Email, Community, Docs
Integrations 8 integrations 260+ integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Google Agent Development Kit 5/5 · Dify 4/5
Visual agent builder ✓ ✓
Multi-agent support ✓ (best) Not checked yet
Knowledge grounding ✓ ✓
Voice agent support ✓ ✓
Human handoff ✓ ✓
Specs
Deployment model Both Both
Our review
Pros
  • Supports code-first development in Python, TypeScript, Go, and Java
  • Combines multi-agent workflows with voice, multimodal input, and grounding
  • Deploys locally, in containers, or across Google Cloud targets
  • Visual workflows combine models, tools, code, branching, and approvals
  • RAG, knowledge bases, tracing, and observability support production workflows
  • Cloud, API, web app, MCP, and self-hosted deployment options
Cons
  • The drag-and-drop visual workflow builder is experimental
  • Model, Agent Runtime, and Google Cloud usage may add separate charges
  • Its developer-focused approach may not suit no-code-first teams
  • Sandbox is limited to 200 message credits and 5 apps
  • Voice support depends on a marketplace extension
  • Paid cloud plans limit members, apps, and knowledge storage by tier
Our verdict

Google Agent Development Kit is an open-source framework for developers creating AI agents and multi-agent applications. It supports code-first development in Python, TypeScript, Go, and Java, while also providing a development web…

Read the review →

Dify is an open-source platform for building AI applications, agent workflows, and retrieval-augmented generation systems. It suits teams that want to combine model calls, knowledge retrieval, tools, code, branching, triggers, iteration,…

Read the review →
  1. Google Agent Development KitAI Agent Platforms 9.1Free plan
  2. DifyAI Agent Platforms 8.3Free plan

Strengths and trade-offs

  • Google Agent Development Kit — where it wins

    • Supports code-first development in Python, TypeScript, Go, and Java
    • Combines multi-agent workflows with voice, multimodal input, and grounding
    • Deploys locally, in containers, or across Google Cloud targets

    Where it doesn't

    • The drag-and-drop visual workflow builder is experimental
    • Model, Agent Runtime, and Google Cloud usage may add separate charges
    • Its developer-focused approach may not suit no-code-first teams

  • Dify — where it wins

    • Visual workflows combine models, tools, code, branching, and approvals
    • RAG, knowledge bases, tracing, and observability support production workflows
    • Cloud, API, web app, MCP, and self-hosted deployment options

    Where it doesn't

    • Sandbox is limited to 200 message credits and 5 apps
    • Voice support depends on a marketplace extension
    • Paid cloud plans limit members, apps, and knowledge storage by tier

More comparisons

All AI agent platforms comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update