LangGraph
Overview
Library for building stateful, multi-actor AI applications with cycles.
Full Description
This resource is the official redirect page for the LangGraph documentation. It informs visitors that the LangGraph docs have moved and automatically forwards them to the new location at docs.langchain.com. Hosted under the LangChain organization’s GitHub Pages domain, this page serves as a continuity link for anyone following older references, ensuring they seamlessly reach the most current documentation without confusion or manual searching. Functionally, the page provides a clear, immediate notice that the documentation has moved and initiates a redirect. While minimal by design, it plays a practical role in documentation hygiene: consolidating content under a single docs.langchain.com domain helps centralize updates, standardize navigation across related projects, and reduce link rot. For users, the simple message and auto-redirect reduce friction, especially when arriving via bookmarks, shared links, or third-party references that still point to the former URL. The target audience includes developers, engineers, technical writers, and researchers who are seeking the latest LangGraph materials—particularly those working within the broader LangChain ecosystem. Typical use cases include following old links from code repositories, blog posts, presentations, or internal wikis and being reliably forwarded to the current documentation home. Teams maintaining documentation or knowledge bases can use this page as a reminder to update their references to the new canonical location, improving long-term maintainability. In the context of the AI ecosystem, dependable documentation access is essential for adoption, onboarding, and effective use of tools. By consolidating LangGraph’s documentation at docs.langchain.com and maintaining this redirect, the maintainers help ensure consistent discoverability, reduce fragmentation, and support better cross-linking among related LangChain resources. This improves the developer experience, minimizes dead links across the community, and preserves the integrity of educational and reference materials that point to LangGraph over time.