I moved from the SDK world to the ADK world. ADK is a framework for growing and deploying AI brokers. They’re designed to make AI agent growth really feel easy, permitting you to create, design, and deploy agent architectures for quite a lot of duties, from easy to advanced.
Google ADK is a model new open supply framework constructed to simplify end-to-end growth for each single-agent and multi-agent techniques.
Comparability of LangGraph and Google ADK
Merely put, consider interactions between brokers as operate calls. LangGraph is extremely customizable with an agent-to-agent interplay structure that shares knowledge, whereas Google ADK passes most info to the following agent.
When you’re utilizing Google Cloud instruments, Google basically gives a plug-and-play mannequin for deploying into your AI infrastructure. The framework additionally provides LiteLLM integration, permitting you to select from a variety of fashions from suppliers similar to Anthropic, Meta, Mistral AI, and AI21 Labs. The Agent Improvement Equipment (ADK) gives the pliability to work with quite a lot of instruments, however is optimized for seamless integration inside the Google Cloud ecosystem, particularly with Gemini fashions and Vertex AI.
Building multi-agent applications using ADK
Google ADK documentation on common multi-agent patterns
LangChain stays the preferred identify in AI agent growth, however LangGraph takes it to a brand new stage. 90% of non-tech firms plan to make use of LangChain for agent deployment on account of LangChain’s maturity and intensive ecosystem. LangGraph provides battle-tested reliability, with a big neighborhood (80,000+ GitHub stars), complete documentation, and confirmed enterprise adoption. LangGraph introduces visible workflow design that lets you handle advanced agent interactions.
LangGraph is extremely customizable, permitting you to determine which agent is the primary handler, which different brokers are like helper brokers, and the way a lot knowledge to share and keep management. One other massive factor I personally like about LangGraph is its visible debugging instruments. Google ADK does not but have visible debugging instruments.
Apart from LangGraph and Google ADK, CrewAI can be one of many startup favorites. CrewAI has emerged as one of many high frameworks alongside LangChain and AutoGen, quickly gaining reputation on account of its developer-friendly method and strong multi-agent orchestration.
Clear API design, good documentation, and a deal with real-world enterprise purposes slightly than educational use circumstances. Startups and midsize firms discover CrewAI to be an environment friendly and quick method to deploy brokers.
I hope this helps to briefly clarify the comparability between Google ADK and LangGraph’s agent growth framework. thanks.
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