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langgraph-docs

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About langgraph-docs

L

langgraph-docs

Fetches and references LangGraph Python documentation to build stateful agents

langgraph-docs is an agent skill from the langchain-ai deepagents project, listed on skills.sh. It fetches and refers to the LangGraph Python documentation, so an agent can build stateful agents, multi-agent workflows and human-in-the-loop patterns from the current docs. The workflow has three steps. The agent first reads the documentation index from the LangChain docs site, which lists every page with a short description. It then picks two to four of the most relevant pages, favouring how-to guides for implementation questions, core concept pages for conceptual questions, tutorials for end-to-end examples and reference pages for API details. Finally it fetches those pages and applies what they say. The approach means the agent works from the documentation as it is now, rather than from what it remembers about an older version of the library. It suits developers building agents with LangGraph in Python who want accurate, current guidance for each question.

Price
Free
Made by
langchain-ai
Category
AI Skills
Website
github.com/langchain-ai/deepagents/langgraph-docs