docs-seeker

To find technical documentation using llms.txt, you must specify the target library, version preferences, and a clear question. The system then locates the llms.txt file to retrieve AI-friendly docs and synthesize a unified report.

Parallel exploration deploys multiple Explorer agents to fetch and analyze sources simultaneously. This broad coverage accelerates repository analysis, extracting in-repo documentation and cross-referencing diverse sources for comprehensive API guidance.

Yes, when documentation is scattered or missing, the system applies fallback research. It uses Repomix for repository analysis to extract in-repo documentation directly, ensuring you still get installation guides and API references.

The best way to synthesize API references is using llms.txt-first discovery combined with parallel exploration. This fetches, verifies, and presents a unified documentation report from diverse sources quickly.

Yes, providing version preferences is required to guide accurate llms.txt retrieval and repository analysis. Defining the target library and version ensures the synthesized documentation matches your environment.

Cross-source verification ensures technical documentation accuracy by checking facts across multiple sources. When sources are scattered, parallel exploration and fallback research validate the API references and examples before synthesis.