LangGraph and LangChain have announced alpha releases for their version 1.0 in both Python and JavaScript, with an official release planned for late October. LangGraph is designed as a low-level agent orchestration framework that provides developers with durable execution and detailed control for running complex systems in production, already used by companies like Uber and LinkedIn. LangChain, on the other hand, aims to facilitate rapid AI feature development with standardized model abstractions and prebuilt agent patterns, emphasizing ease of use without vendor lock-in. LangChain 1.0 will focus on an evolved agent abstraction that leverages LangGraph's runtime, while a new langchain-legacy package will allow continued use of existing chains. LangChain Core remains unchanged in terms of integration abstractions, but introduces more structured message formatting for interactions with LLM APIs. Additionally, a new documentation site is being launched to centralize resources for both Python and JavaScript users. The community is encouraged to provide feedback on these developments as the project progresses.