Produtividade
open-science
A local-first, model-agnostic AI research workbench for reproducible scientific work.
★ 5,5 mil estrelasApache-2.0
Ver o guia →llm-for-zotero é um projeto de produtividade de código aberto de yilewang (yilewang/llm-for-zotero no GitHub). Tem 3.223 estrelas no GitHub e 187 forks, é publicado sob a licença AGPL-3.0 e foi atualizado pela última vez no GitHub em 8 de outubro de 2026.
An open-source research agent system that lives inside your Zotero library.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Chat with papers in your library with conservative citation navigation to the source.
Multi-step research workflows: find related papers, apply tags, write notes, with cache-aware context.
Customisable skills for research workflows, plus Tavily-powered general web search with source links attached.
Higher-fidelity extraction for tables and formulas, with local-server and cache controls.
Provider API keys, WebChat sync, Codex app server (ChatGPT Plus) or Claude Code mode — your choice.
Zotero notes or file-based Markdown notes saved to local folders such as an Obsidian vault.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/yilewang/llm-for-zotero.git
cd llm-for-zoteroDownload the latest .xpi from Releases and install it in Zotero via Tools → Add-ons → Install Add-on From File, then restart Zotero.
# Download the .xpi from https://github.com/yilewang/llm-for-zotero/releases
# Zotero: Tools -> Add-ons -> gear -> Install Add-on From FileIn Preferences → llm-for-zotero choose a provider, enter base URL/key/model and Test Connection — or pick WebChat/Codex to avoid an API key — then open a PDF and click the LLM Assistant icon.
# see README Quick Start for provider, WebChat and Codex setupIt is maintained by yilewang on GitHub (yilewang/llm-for-zotero), where the source, issues and releases live.
Yes — it is free and open source under AGPL-3.0; note the copyleft terms apply if you distribute modified versions or run it as a network service.
Your choice — use a provider API key, or avoid one via WebChat sync or a ChatGPT Plus subscription through the Codex app server, as the README documents.
Compared with Zotero's built-in PDF reader alone or a generic chatbot with uploads, llm-for-zotero's distinguishing focus is: an open-source research agent system that lives inside your Zotero library. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/yilewang/llm-for-zotero (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
A local-first, model-agnostic AI research workbench for reproducible scientific work.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.