llm-for-zotero
github.com/yilewang/llm-for-zoteroResearch agent system deeply integrated with Zotero supporting Agent Mode, skills, multi-model backends (OpenAI-compatible, Claude Code, WebChat, Codex), and MinerU PDF parsing for literature Q&A, summarization, figure inspection, and source comparison (1.3K+ stars, 2026)
Sourced from
- Awesome AI for Science — github.com/yilewang/llm-for-zotero
- GitHub — github.com/yilewang/llm-for-zotero
Related resources
Classic open-source plugin for document Q&A and summarization within Zotero
Lightweight Markdown-only skills for autonomous ML research with cross-model review loops, idea discovery, and experiment automation; no framework lock-in, works with Claude Code, Codex, OpenClaw, or any LLM agent (12.8K+ stars, MIT License, 2026)
High-accuracy RAG for scientific PDFs with citation support, agentic RAG, and contradiction detection
Semi-automated research assistant for academic research and software development, supporting Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and publication (Galaxy-Dawn, 4.5K+ stars, MIT License, 2026)
Beyond text-to-slides generation with PPTEval multi-dimensional evaluation (EMNLP 2025)
Open-source, local-first, model-agnostic AI research workbench for reproducible scientific discovery; runs Python/R notebooks, searches the web, calls scientific data connectors, and produces inspectable reports, tables, and figures in a self-hosted desktop workspace (1.5K+ stars, Apache 2.0, 2026)