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Introducing Respan Router

Google ADK vs LangGraph (2026)

Updated April 29, 2026

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Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
—
Best For
Production engineering teams building reliable, multi-step AI agents at scale with full observability
Product Summary

Google's Agent Development Kit (ADK) is a modular framework for building AI agents that integrates natively with Gemini models and Vertex AI. It supports multi-agent architectures, tool use, memory, and deployment to Google Cloud, providing an end-to-end solution for building agents in the Google ecosystem.

Product Summary

LangGraph is LangChain's graph-based orchestration framework for stateful, multi-step AI agents. Workflows are modeled as directed graphs with nodes and edges, supporting cycles, conditional routing, and durable state. v1.0 released in 2026 with full enterprise certifications. Used in production by Uber, JPMorgan, BlackRock, and Cisco.

Starting Price
$0Per perpetual
Starting Price
$0Per forever
Free Trial
Yes
Free Trial
Yes
Free Version
No
Free Version
Yes

Key features

Core capabilities each platform advertises.

Google ADKGoogle ADK
Data not available
LangGraphLangGraph
  • Graph-based agent workflows with nodes, edges, and conditional routing
  • Cycles, branching, and parallel execution
  • Durable execution with checkpointing and time-travel debugging
  • Human-in-the-loop interrupts for review/approval steps
  • Enterprise certifications and 90M monthly downloads (with LangChain)

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

Google ADKGoogle ADK

Pros

  • Code-first approach enables testable, maintainable agent development
  • Comprehensive evaluation framework builds trustworthy agents
  • Modular design supports scalable multi-agent architectures
  • Open source with active community contributions

Cons

  • Optimized primarily for Google Cloud ecosystem
  • May be overly structured for simple use cases
  • Less flexibility for multi-cloud or non-Google deployments
LangGraphLangGraph

Pros

  • Most production-ready open-source agent framework in 2026
  • Full enterprise certifications + Fortune 500 references
  • Durable execution survives crashes and restarts
  • Time-travel debugging is unique in the space
  • Tight LangChain ecosystem integration

Cons

  • Steeper learning curve than CrewAI or simpler alternatives
  • Paid LangSmith / LangGraph Platform for managed observability
  • Heavier conceptually than minimal frameworks
  • Best with LangChain ecosystem — leaving means losing leverage

What people are saying

Google ADKGoogle ADK
Data not available
LangGraphLangGraph
AgentFrameworkHub coverageAgentFrameworkHub

LangGraph and AutoGen are the only two frameworks with full enterprise certifications as of 2026. LangChain and LangGraph have 90M monthly downloads and power production at Uber, JPMorgan, BlackRock, and Cisco.

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Google ADK or LangGraph — which should you choose?

Choose Google ADK if you want

Data not available

Choose LangGraph if you want

  • Production multi-step AI agents at Fortune 500 scale
  • Long-running workflows with durable state across hours/days
  • Human-in-the-loop approval workflows
  • Branching agent decision trees with rollback
  • Cross-tool orchestration with full observability

Compare Google ADK and LangGraph on your own traffic

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1,000+Models
5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

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