Agent Development Kit (ADK) vs. LangChain Comparison


Agent Development Kit (ADK) Google	LangChain	+	+
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The platform also includes a Store Builder to sell products and services, accept payments through 30+ gateways, and tools like Approvals and Report Builder to automate workflows and generate actionable insights. Jotform App Builder for ChatGPT and Claude is an AI-powered no-code application builder that enables users to create, customize, publish, and manage applications through natural language conversations. The platform integrates Jotform Apps with ChatGPT and Claude, allowing users to turn ideas discussed with an AI assistant into functional applications without traditional programming. 9,009 Ratings Visit Website SearchUnify SearchUnify is an enterprise Agentic AI platform that unifies enterprise knowledge and powers autonomous AI agents across the customer support lifecycle. 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About The Agent Development Kit (ADK) is a flexible, open-source framework for building and deploying AI agents. It is tightly integrated with Google’s ecosystem, including Gemini models, and supports popular large language models (LLMs). ADK simplifies the development of both simple and complex AI agents, providing a structured environment for building dynamic workflows and multi-agent systems. With built-in tools for orchestration, deployment, and evaluation, ADK helps developers create scalable, modular AI solutions that can be easily deployed on platforms like Gemini Enterprise Agent Platform or Cloud Run.	About LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience The Agent Development Kit (ADK) is designed for AI developers, researchers, and organizations looking to build, deploy, and manage AI agents using Google’s ecosystem, Gemini models, and a wide array of third-party integrations	Audience Developers searching for a framework for developing applications powered by language models
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 4.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros ADK feels like a serious framework for people who want to build real agents, not just quick demos. It gives developers a structured way to define agents, connect tools, coordinate multi-agent workflows, and move from local testing toward production. I like that it is open source and supports multiple languages. Python is great for AI work, but TypeScript, Go, Java, and Kotlin support make ADK more realistic for teams building inside existing engineering stacks. The production focus is the biggest advantage. ADK is built around debugging, evaluation, deployment, and reliability, which are exactly the things teams need once an agent goes beyond a prototype. Cons ADK may be more framework than you need for a simple chatbot or one-off automation. If the use case is small, a lighter tool may be faster to set up.	Pros & Cons from Real Users Pros As an AI developer, I’ve worked with a wide range of frameworks and libraries, but LangChain has truly impressed me. It’s an incredibly powerful tool for building language models, providing an extensive set of functionalities that allow me to seamlessly integrate different components into my projects. One of the standout features of LangChain is its ease of use and flexibility. Whether you’re working on text generation, document search, or chain-based workflows, the framework’s modularity lets you combine various tools with minimal effort. The pros of LangChain are clear. First, its integration with numerous external APIs and services is top-notch, allowing me to connect language models with external data sources or even automate workflows. The documentation is well-organized and easy to follow, even for newcomers, and the active community provides plenty of resources for troubleshooting and learning. Additionally, LangChain's support for advanced use cases like memory management, multi-step chains, and prompt customization is invaluable for developing sophisticated AI applications. Cons The learning curve is steep, but once you get the hang of it, the framework becomes significantly more intuitive. Also, while LangChain offers a lot of versatility, it sometimes requires more fine-tuning to get optimal performance with specific models or use cases.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Google Founded: 1998 United States google.github.io/adk-docs/	Company Information LangChain Founded: 2022 United States www.langchain.com
Alternatives Agno	Alternatives Gemini Enterprise Agent Platform Google
Vercel AI SDK Vercel	LM-Kit.NET LM-Kit
AutoGen Microsoft	StackAI
Flowise Flowise AI	LangSmith LangChain
CrewAI View All	PromptLayer View All
Categories Agentic AI Supported Agentic Orchestration Supported AI Agent Builders Supported AI Agent Frameworks Supported AI Orchestration Supported	Categories Agentic Process Automation Supported AI Agent Frameworks Supported AI Agent Infrastructure Supported AI Agent Observability Supported AI Automation Supported AI Development Supported AI Orchestration Supported AI SDKs Supported Context Engineering Supported Development Frameworks Supported Prompt Engineering Supported Prompt Management Supported

Integrations Agent Control Supported OpenUI Supported Openlayer Supported Prefactor Supported Simaril Supported asqav Supported Azure App Service Not Supported Beautiful Soup Not Supported Boilerbay Not Supported Chainlit Not Supported Cloro Not Supported EarlyCore Not Supported Gemini Enterprise Agent Platform Supported Mem0 Not Supported NVIDIA Blueprints Not Supported Opik Not Supported Proxmint Not Supported Straiker Not Supported Typeblock Not Supported Zyte Not Supported Show More Integrations View All 14 Integrations	Integrations Agent Control Supported OpenUI Supported Openlayer Supported Prefactor Supported Simaril Supported asqav Supported Azure App Service Supported Beautiful Soup Supported Boilerbay Supported Chainlit Supported Cloro Supported EarlyCore Supported Gemini Enterprise Agent Platform Not Supported Mem0 Supported NVIDIA Blueprints Supported Opik Supported Proxmint Supported Straiker Supported Typeblock Supported Zyte Supported Show More Integrations View All 181 Integrations
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