dsh-zotero

In the daily rhythm of academic research and human-AI collaboration, a common pain point persists: while AI assistants excel at generating insightful analysis, they lack direct access to the vast network of notes, annotations, and full texts residing in your personal reference library. dsh-zotero was built to bridge this exact gap. Designed specifically for agent-driven research workflows, it establishes a secure, strictly read-only connection between your local Zotero database and AI agents, empowering them to interact with your private digital library as effortlessly as a seasoned researcher.

The extension delivers a comprehensive suite of focused tools tailored for scholarly inquiry. Agents can effortlessly locate papers via metadata, tags, or full-text search, navigate hierarchical collections, and retrieve detailed notes and attachments. Its standout feature, evidence retrieval, leverages BM25 ranking to extract highly relevant passage excerpts directly from abstracts, highlights, and indexed PDFs based on your specific queries. Additionally, it automates the generation of formatted citations and bibliography tables in standard academic styles. Every setting is managed through a dynamic configuration panel, allowing for instant parameter adjustments without disrupting active sessions.

Whether you are a graduate student conducting rapid literature reviews, an educator drafting peer-reviewed manuscripts, or a knowledge worker streamlining deep reading workflows, dsh-zotero integrates seamlessly into your research ecosystem. It does not replace critical thinking; rather, it equips your AI agent with rigorous academic discipline. By bringing authoritative sources and properly formatted references directly into your conversational interface, it transforms scattered bibliographic data into structured, actionable research assets.