docs-seeker

To find technical documentation for a specific library version, provide the framework name and desired version to trigger automated discovery. The system locates llms.txt files, analyzes GitHub repositories via Repomix, and runs parallel explorations to deliver a version-aware consolidated report.

llms.txt is a standard for AI-friendly documentation discovery that this system prioritizes to quickly locate structured technical material. It serves as the primary discovery mechanism before falling back to repository analysis or parallel exploration.

You can extract documentation directly from a GitHub repository using Repomix repository analysis. This feature analyzes repository structures to extract docs when llms.txt files are unavailable or insufficient for your topic-specific lookup.

The best way to search for topic-specific features across multiple documentation sources is using parallel exploration. This approach coordinates llms.txt retrieval, Repomix repository analysis, and multiple explorers to deliver thoroughly corroborated, structured results.

Multi-source documentation discovery does work when llms.txt is unavailable by utilizing fallback research mechanisms. The system automatically transitions to Repomix repository analysis and parallel exploration to ensure thorough coverage and deliver structured reports.