{"repo":"dralkh/seerai","free":true,"listed":false,"github":"https://github.com/dralkh/seerai","clone":"git clone https://github.com/dralkh/seerai.git","description":"Zotero AI plugin Research assistant for Zotero 9. Chat with your library, run federated scholarly search, RAG, OCR, systematic reviews, and manage cloud storage. Includes standalone MCP, Agentic capabilities, and skills library.","language":"TypeScript","stars":76,"topics":["ai","zotero","zotero-plugin","agent","mcp","research","academic-research","ai-agent","bibliography","cloud-storage"],"license":"MIT","category":"mcp-servers","readme_excerpt":"seerai — AI Research Assistant Plugin for Zotero seerai is an intelligent research assistant plugin for Zotero 9 that integrates AI-powered chat, advanced search, structured data extraction, and systematic review workflows directly into your research workflow. Chat with your papers, extract structured data, run PRISMA-style reviews, and accelerate your literature review with a local-first, privacy-focused design. --- Installation From GitHub (Recommended) 1. Download the latest release ( .xpi file) from Releases. 2. In Zotero, go to Tools → Add-ons . 3. Click the gear icon ⚙️ and select Install Add-on From File... . 4. Select the downloaded .xpi file. 5. Restart Zotero. From Source --- Features AI-Powered Chat Interface - Contextual Conversations : Chat with AI about your selected papers with full context awareness. - Smart Context Priority : Automatically prioritizes content sources: 1. Zotero Notes (OCR note, and other notes for highest priority) 2. Indexed PDF Text (Fast, efficient, however consumes a lot of tokens and may cause limit issues) 3. OCR (Fallback for scanned documents with no indexed text) - Multi-paper Support : Add multiple papers to a single conversation for comparative analysis. - Streaming Responses : Real-time, token-by-token response rendering. - Markdown & Math : Responses are formatted with syntax highlighting and LaTeX math support. - Vision Support : Paste images directly into chat for multimodal analysis. - Multimodal Generation : Generate images, ","default_branch":null,"files":null,"tree":[],"storefront":"/r/dralkh","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dralkh/seerai/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}