Google Agent Development Kit vs n8n

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionGoogle Agent Development Kitn8n
PricingFree (MIT license)Free self-hosted, paid Cloud tiers (execution-based)
DeploymentLocal development, deploy via Cloud Run, GKE, Apigee AI GatewaySelf-host via Docker or n8n Cloud
Language SupportPython, TypeScript, Go, Java, Kotlin SDKsJavaScript/Python snippets in workflows
Key FeaturesGraph workflows, collaborative agents, observability, MCP/A2A protocolsVisual builder, 500+ integrations, human-in-the-loop, execution-based pricing
Model SupportGemini, Gemma, Claude, plus Ollama, vLLM, LiteLLMOpenAI, Anthropic via integrations
Target UserDevelopers building production multi-agent systemsIT Ops, SecOps, DevOps, developers needing visual + custom logic

If you're a developer who wants a lightweight, code-first framework tightly integrated with Google Cloud and multi-model routing, ADK 2.0 is your pick—especially now with graph workflows. But if you need a visual canvas, 500+ integrations out of the box, and fine-grained control over execution costs, n8n gives you that flexibility with self-hosting and human-in-the-loop guardrails. Choose n8n for ops-heavy automation with a GUI; choose ADK for pure code-based agent orchestration.

Google Agent Development Kit
Google Agent Development Kit

Google's MIT-licensed open-source framework for building, evaluating, and deploying production AI agents in five languages.

Visit Website
n8n
n8n

n8n is visual AI workflow automation with JavaScript and Python escape hatches, self-hostable and traceable end to end

Visit Website
Pricing
Free
Freemium
Plans
$0/mo
$0
20€/mo, billed annually
50€/mo, billed annually
667€/mo, billed annually
Custom
Popularity
4.9k views
5.8k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPICLI
WebAPI
Categories
🕸️ Agent Frameworks & Orchestration
🤖 Automation & Agents🕸️ Agent Frameworks & Orchestration
Features
Open-source MIT-licensed framework
SDKs for Python, TypeScript, Go, Java, and Kotlin
Graph workflows blending deterministic code with AI reasoning
Collaborative workflows for multi-agent coordination
Sequential, loop, parallel, and custom template workflow patterns
Agent routing and workflow patterns
Model support for Gemini, Gemma, and Claude
Model routing through OpenAI, Ollama, vLLM, LiteLLM, LiteRT-LM
Google Search grounding
Apigee AI Gateway and Agent Platform hosted models
Live and Voice Agents (Python, Java) with audio and video
Agents CLI for scaffolding, testing, evaluation, deployment
Web Interface and Visual Builder
Command Line and API Server run modes
Ambient agents with resume and cancel run controls
Visual drag-and-drop canvas with inputs and outputs beside each step's settings
JavaScript and Python code steps anywhere in a workflow
500+ pre-built integration nodes plus custom HTTP and GraphQL requests
Import cURL commands to create API nodes
MCP support for legacy systems and MCP-speaking tools
Build and update n8n workflows from inside your own AI app via MCP
AI agent builder with multi-agent setups and RAG pipeline support
Swap cloud or offline models without rebuilding workflows
Traceable AI reasoning — inspect prompt, response, and next action per execution
Human-in-the-loop approvals and rule-based guardrails for AI actions
Structured input and output enforcement to control data flow to and from AI steps
Native AI evaluation against real data plus a prompt testing framework guide (Sept 2026)
Re-run single steps, replay or mock data, and debug via the logs view
Queue mode with multiple instances and external S3 storage
Self-hosting via Docker, on-prem, and air-gapped deployments
Integrations
Gemini
Gemma
Claude
OpenAI
Ollama
vLLM
LiteLLM
LiteRT-LM
Apigee AI Gateway
Google Search
Google Cloud Run
Google Kubernetes Engine (GKE)
MCP
A2A Protocol
Slack
GitHub
Google Sheets
Salesforce
HubSpot
Notion
Jira
PostgreSQL
Microsoft Graph
Datadog
Asana
ServiceNow
Zoom
Anthropic

What real users say: Google Agent Development Kit vs n8n

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Google Agent Development Kit

48 mentions across 4 sources · 45% positive — mixed (averaged across 4 sources)

Hacker News, YouTube, Stack Overflow, Lemmy

What users praise

  • • Open-source (MIT) and free to use
  • • Multi-language SDKs: Python, TypeScript, Go, Java, Kotlin
  • • Easy to get started with basic agents
  • • Great integration with Google Cloud (Cloud Run, GKE)

What frustrates them

  • • Less control than LangGraph or plain Python
  • • Documentation for advanced deployment is thin
  • • Ecosystem smaller than LangChain's
  • • Graph workflows feel like a LangGraph copy

Researched Aug 6, 2026

n8n

105 mentions across 7 sources · 56% positive — mixed (averaged across 7 sources)

Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • • Self-host with Docker or n8n Cloud—full control over your data.
  • • Execution-based pricing, not per-step, unlike Zapier.
  • • Visual canvas with JavaScript/Python code steps anywhere.
  • • 500+ integrations and MCP support for legacy systems.

What frustrates them

  • • Not actually open source—Commons Clause restricts commercial use.
  • • Steep learning curve for non-technical users.
  • • UI is clunky and unintuitive, especially for beginners.
  • • Scaling workflows from test to production is problematic.

Researched Aug 18, 2026

Who should pick which

  • IT Ops teams automating onboarding and incident response
    Pick: n8n

    n8n’s visual drag-and-drop with 500+ integrations and human-in-the-loop approvals lets you build onboarding flows quickly, with multiple checkpoints for manual review.

  • Security operations (SecOps) enriching threat intelligence with SOAR-like workflows
    Pick: n8n

    n8n’s traceable agent reasoning and ability to inject Python/Javascript for custom enrichment logic fit SOAR patterns, and execution-based pricing keeps costs tied to actual threat events.

  • Developers building production multi-agent systems on Google Cloud
    Pick: Google Agent Development Kit

    ADK 2.0’s graph workflows and collaborative agents are built for complex orchestration, plus native integration with Cloud Run, GKE, and Apigee makes deployment smooth.

  • Teams needing multi-language agent development (Python, TS, Go, Java, Kotlin)
    Pick: Google Agent Development Kit

    No other tool offers SDKs in all these languages; n8n only supports JS/Python snippets, so ADK is the clear choice for polyglot teams.

  • DevOps teams converting natural language into API calls
    Pick: n8n

    n8n’s 500+ pre-built integrations and visual canvas let you quickly wire up API calls, with custom code nodes for complex transforms—plus self-hosting for full control.

Frequently Asked Questions

Google Agent Development Kit vs n8n: which should you choose?

If you're a developer who wants a lightweight, code-first framework tightly integrated with Google Cloud and multi-model routing, ADK 2.0 is your pick—especially now with graph workflows. But if you need a visual canvas, 500+ integrations out of the box, and fine-grained control over execution costs, n8n gives you that flexibility with self-hosting and human-in-the-loop guardrails. Choose n8n for ops-heavy automation with a GUI; choose ADK for pure code-based agent orchestration.

Can I use n8n with Gemini or Google Cloud models?

n8n has integrations for OpenAI and Anthropic, but the static data doesn’t mention Gemini. You can always add custom API calls, but there’s no native Gemini node listed.

Does ADK have a visual builder like n8n?

Yes, ADK has a web interface and visual builder, but it’s more of a code-centric tool. n8n’s visual canvas is more mature for non-technical users.

How do I manage human-in-the-loop approvals in ADK?

The static data doesn’t specify human-in-the-loop features for ADK. For that, n8n explicitly offers approvals and guardrails as a built-in feature.

Which one is better for self-hosting?

n8n is designed for self-hosting via Docker, making it easy to run on your own infrastructure. ADK is a framework you run on your own compute, but it’s less of a turnkey solution.

Can I use ADK with non-Google models only?

ADK supports Claude, Ollama, vLLM, and LiteLLM, so you can use non-Google models. However, it’s built with Google Cloud in mind, so you’ll get the best integration there.

More Google Agent Development Kit or n8n comparisons

Explore each tool further

Browse these categories

Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: August 13, 2026