Meet LangGraph: An AI Library for Building Stateful, Multi-Actor Applications with LLMs Built on Top of LangChain

There is a need to build systems that can respond to user inputs, remember past interactions, and make decisions based on that history. This requirement is crucial for creating applications that behave more like intelligent agents, capable of maintaining a conversation, remembering past context, and making informed decisions. Currently, some solutions address parts of this […]

The post Meet LangGraph: An AI Library for Building Stateful, Multi-Actor Applications with LLMs Built on Top of LangChain appeared first on MarkTechPost.

actor agents ai library ai shorts applications artificial intelligence build building conversation decisions editors pick history inputs intelligent interactions langchain library llms staff systems tech news technology