An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.

Tools to scrape publications & their metadata from pubmed, arxiv, medrxiv, biorxiv and chemrxiv.

Fetch Academic Research Papers from different sources

Unofficial Python client library for Semantic Scholar APIs.

Findpapers: A tool for helping researchers who are looking for related works

800+ pure-markdown skills for autonomous AI research. Non-linear orchestration with backtracking, 4-layer military hierarchy (Campaign → Strategy → Tactic → SOP), 5 MCP integrations. The AI is the researcher — you set the direction.

An implementation of Google Deep Search 🕵️ with support for 1000+ references, local inference, chatting with your scraping session using RAPTOR, and report generation.

A Node.js implementation of the Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources, including **Web of Science**, arXiv, and more.

A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.

This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.

AI-powered citation search & paper review for Overleaf — Chrome extension. Think Google Scholar but inside Overleaf. Also works with OpenAI Prism.

Pure instruction-pack skill wrapping Ai2's Asta MCP server (Semantic Scholar). Intent-to-tool routing, safe defaults, multi-agent.

Python package to autocomplete bibtex bibliographies

AI research workspace with a persistent paper database, structured evidence extraction, hybrid search, and proposal workflows.

DOI → PDF resolver with 7-source fallback (Unpaywall, S2, arXiv, PMC, bioRxiv, publisher, Sci-Hub). Multi-agent, zero-deps Python.

AI Agents for drug discovery, drug development, and other pharmaceutical R&D

📚 An intelligent toolkit to automatically parse, complete, and format academic references.

A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.

Scientific literature explorer. Runs a Pubmed or Semantic Scholar search and allows user to explore high-level structure of result papers

Obsidian plugin to automatically create a note from arXiv.org, acl anthology and semantic scholar.