langgraph-docs

langgraph-docs

langgraph-docs

Workflow

1. Fetch the Documentation Index

Use fetch_url to read: https://docs.langchain.com/llms.txt

This returns a structured list of all available documentation with descriptions.

2. Select Relevant Documentation

Identify 2-4 most relevant URLs from the index. Prioritize:

• Implementation questions — specific how-to guides

• Conceptual questions — core concept pages

• End-to-end examples — tutorials

• API details — reference docs

3. Fetch and Apply

Use fetch_url on the selected URLs, then complete the user's request using the documentation content.

If fetch_url fails or returns empty content, retry once. If it fails again, inform the user and suggest checking https://langchain-ai.github.io/langgraph/ directly. Weekly Installs2.0KRepositorylangchain-ai/deepagentsGitHub Stars14.3KFirst SeenJan 22, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykWarnInstalled onopencode1.8Kcodex1.4Kgemini-cli1.3Kgithub-copilot1.3Kkimi-cli1.2Kamp1.2K