levineam builds skills that let an AI agent search and retrieve information from a personal or team knowledge base of markdown notes and documents. Their most popular skill, Qmd, runs local hybrid search over indexed collections, so an agent can find notes, surface related content, and pull up specific documents without sending them to an external service.
