DoocuAI

Lumina

Lumina is an AI tool for systematic reviews and literature screening. It connects to multiple academic databases, removes duplicates, and prioritizes records according to the inclusion criteria set by researchers. Human reviewers retain the final decision, while audit records track the screening process. The platform also supports two independent reviewers, in-app conflict resolution, open-access PDF retrieval, custom PDF uploads, and PRISMA 2020 flowchart exports. Lumina offers a five-day free trial for one project with up to 75 records. Full workflow access requires a subscription, but the website does not publish pricing. Its AI ranking is designed to assist screening rather than replace researcher judgment.

Odysseus AI

Odysseus AI is a private research workspace for turning PDFs, URLs, Markdown, text files, and notes into structured research briefs with traceable citations. Its workflow combines document organization, an autonomous research agent, and a review stage so users can inspect where each conclusion came from. The service also promotes zero-data-retention routing, isolated workspaces, and OpenRouter BYOK for users who want more control over model access. It is aimed at researchers, analysts, investors, and builders handling large or sensitive document sets. Pricing and some technical details are not publicly clear, so prospective users should check the official site before committing.

Hypathesis

Hypathesis is an AI-powered tool for researchers, designed to automatically extract variable relationships from uploaded PDFs. It traces each relationship back to its original text, infers causal directions, and requires no registration. Its methodology has been peer-reviewed for IEEE EMBC 2026, making it ideal for literature reviews, systematic analyses, and understanding complex experimental designs.

awesome-ai-research-writing: AI Paper Writing Resources

awesome-ai-research-writing is a GitHub collection focused on AI research writing. It brings together tools, templates, practical techniques, and related reading intended to reduce the repetitive work behind drafting, revising, and polishing papers or technical reports. With more than 33,000 GitHub stars at the time of review, the repository has attracted substantial community attention. Its main value is not that it replaces an author or supervisor, but that it gives researchers a single place to begin looking for useful writing resources. Students, research engineers, and academic writers can browse the README, identify relevant entries, and test them against their own workflow.

Awesome AI for Science: Curated AI Resources for Scientific Discovery

This GitHub repository offers a curated list of AI tools, libraries, papers, datasets, and frameworks spanning physics, chemistry, biology, and materials science. It serves as a valuable resource for researchers and developers to quickly grasp and apply AI in scientific exploration, with over 1,700 stars and an MIT license.

earth2studio: NVIDIA Deep Learning Framework for Weather and Climate

earth2studio is an open-source deep learning framework from NVIDIA, designed for the weather and climate domain. It streamlines the workflow from research to deployment, offering universal APIs and pre-trained models. This enables researchers to rapidly develop AI-driven weather forecasting and climate simulation applications, lowering barriers and accelerating innovation in the field.

ai4paper: Open-Source AI Platform for Researchers

ai4paper is an open-source AI platform designed for researchers, claiming access to 240 million academic papers. Core features include full-text PDF translation, AI-driven literature search, and one-click review generation, all accessible via a web interface without plugins. It offers Zotero integration and journal subscription via mini-programs, aiming to boost efficiency in literature review and academic writing. The project is primarily written in HTML, licensed under MIT, and had 2739 stars on GitHub at the time of collection.

openscience: An Open-Source AI Workbench for Research

openscience is an open-source AI workbench from synthetic-sciences, specifically designed for scientific research. Built with TypeScript, the project has garnered over 3.2k stars on GitHub, featuring a comprehensive repository with frontend, backend, CLI, and evaluation modules. While public documentation is currently limited, it's a project worth watching for teams interested in AI for Science.

ResearchStudio: Microsoft Open Source AI Collaboration Tool

ResearchStudio is an open-source AI collaboration tool from Microsoft, designed to support researchers through the entire academic journey from initial problem formulation to final publication. It integrates features for literature review, experimental design, data analysis, and paper writing, leveraging large language models to provide intelligent suggestions. The project is particularly suited for academic researchers seeking to streamline their workflow. The primary language is Python, the license is MIT, and it had 1911 GitHub stars at the time of collection.