Google Agent Development Kit vs LangChain

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

Analysis reviewed Live tool data as of 2026-08-15
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionGoogle Agent Development KitLangChain
PricingFree (open source)Freemium (paid tiers for LangSmith)
Primary FocusFramework for building multi-agent systemsAgent observability, evaluation, and production deployment
Language SupportPython, TypeScript, Go, Java, KotlinPython, TypeScript, Go, Java
Model SupportGemini, Gemma, Claude, Ollama, vLLM, LiteLLMOpenAI, Anthropic, Google AI, many LLMs
Key Recent FeatureGraph workflows with deterministic logic (ADK 2.0)Prompt caching with Deep Agents
Best ForEnterprise multi-agent orchestration on Google CloudTeams needing deep debugging and evaluation

Choose LangChain if you need robust observability and evaluation for complex agents, especially if you're already using LangChain frameworks. Choose Google ADK if you're building multi-agent systems on Google Cloud and want a free, open-source framework with deterministic graph workflows.

Google Agent Development Kit
Google Agent Development Kit

Google's MIT-licensed open-source framework for building production-grade AI agents across five languages.

Visit Website
LangChain
LangChain

LangSmith: observe, evaluate, and deploy reliable AI agents in production.

Visit Website
Pricing
Free
Freemium
Plans
$0
$0/seat/mo
$39/seat/mo
Custom
Popularity
4.9k views
5.6k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebCLIAPI
Web
Categories
🕸️ Agent Frameworks & Orchestration
📡 LLM Observability & Evals🕸️ Agent Frameworks & Orchestration
Features
Multi-language SDKs: Python, TypeScript, Go, Java, Kotlin
Graph workflows with deterministic logic
Collaborative agents for multi-agent coordination
Multi-agent orchestration and collaboration
Integration with Gemini, Gemma, Claude models
Model routing via Ollama, vLLM, LiteLLM, LiteRT-LM
Apigee AI Gateway for agent deployment
Enterprise observability (logging, metrics, traces)
Agents CLI for local dev and deployment
Web interface and visual builder
REST API for agent control
Support for MCP and A2A protocols
Google Search grounding integration
Session management and context caching
Auto-generated trace timelines with step-by-step breakdowns
LangSmith Engine: autonomous failure clustering and root cause diagnosis
Issue recommendations with code and prompt fixes
LLM-as-judge and multi-turn evaluation frameworks
Human feedback annotation and eval calibration
Durable checkpointing and memory for long-running agents
Human-in-the-loop interaction support
Scalable distributed runtime for agent swarms
Type-safe streaming of messages and UI components
Fleet agents: no-code agent creation for company-wide tasks
Wiki-style memory for persistent agent knowledge
Dynamic subagents in Deep Agents
Sandboxes for safe execution of agent-generated code
Supports A2A and MCP protocols
LLM Gateway for runtime control of model calls (beta)
Integrations
Gemini
Gemma
Claude
Ollama
vLLM
LiteLLM
LiteRT-LM
Apigee AI Gateway
Google Cloud Run
Google Kubernetes Engine (GKE)
Google Search
MCP
A2A Protocol
OpenAI
Anthropic
Google AI
GitHub
Slack
Notion
Fireworks
Box
OpenTelemetry
OpenRouter
Baseten
MCP servers
Harbor
Azure
AWS Bedrock
HuggingFace

Who should pick which

  • Enterprise team building multi-agent system on Google Cloud
    Pick: Google Agent Development Kit

    ADK provides native integrations with Google Cloud services, graph workflows, and multi-language SDKs ideal for complex orchestration.

  • Team needing deep agent observability and debugging
    Pick: LangChain

    LangSmith offers detailed tracing, evaluation, and human-in-the-loop features essential for troubleshooting complex agents.

  • Developer prototyping with Kotlin
    Pick: Google Agent Development Kit

    ADK supports Kotlin, unlike LangChain which lacks Kotlin SDK.

  • Solo founder building production agent with low budget
    Pick: Google Agent Development Kit

    ADK is free and open source, reducing licensing costs while providing production capabilities.

  • Company automating internal tasks across org
    Pick: LangChain

    LangChain's Fleet agents are designed for company-wide task automation with checkpointing and human-in-the-loop.

Frequently Asked Questions

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

Choose LangChain if you need robust observability and evaluation for complex agents, especially if you're already using LangChain frameworks. Choose Google ADK if you're building multi-agent systems on Google Cloud and want a free, open-source framework with deterministic graph workflows.

Which tool is cheaper?

Google ADK is entirely free and open source; LangChain is freemium with paid tiers for advanced features.

Does ADK support multi-agent orchestration?

Yes, ADK 2.0 introduces graph-based workflows and collaborative multi-agent orchestration.

Can LangChain be used without LangSmith?

Yes, LangChain itself is open source, but LangSmith adds observability and evaluation.

Which tool is better for debugging agents?

LangChain's LangSmith provides detailed traces, autonomous issue detection, and root cause analysis.

Does ADK support models other than Google's?

Yes, ADK supports Claude, Ollama, vLLM, LiteLLM, and more via integrations.

Can I deploy LangChain agents on Google Cloud?

Yes, LangChain can be deployed on any cloud including GCP, but ADK offers tighter integration.

Which framework has more community plugins?

LangChain has a larger ecosystem of integrations and community-contributed tools.

Is LATEST NEWS reflected in features?

Yes, ADK 2.0 GA with graph workflows and LangChain's prompt caching are included.

More Google Agent Development Kit or LangChain 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: May 12, 2026