Research AI apps

AI research assistant built on citation-context Smart Citations.

Scite helps researchers find and evaluate scientific literature using Smart Citations — citations classified by whether they support, contrast, or simply mention a paper's claims. Beyond search, its AI Assistant answers research questions with grounded, cited references, and reliability dashboards flag retracted or heavily disputed work. Available on the web and via browser and reference-manager plugins.

AI deep-research agent that finds every relevant paper on a scientific question.

A research-discovery platform that takes a natural-language question and autonomously searches, reads, and evaluates hundreds of academic papers — following citation trails and explaining each result's relevance, mimicking how an expert runs a literature review. Built by MIT quantum-physics PhDs and backed by Y Combinator; used by researchers at MIT, Harvard, and Caltech.

AI research assistant for literature review and evidence synthesis.

Searches, summarizes, and extracts structured data across 125M+ academic papers, with sentence-level citations. Goes beyond chat-over-papers with a guided systematic-review workflow covering search, screening, extraction, and report synthesis. A free Basic plan offers unlimited search and summaries; paid tiers add data-extraction volume and the review pipeline.

AI search over 200M+ peer-reviewed papers, with citations.

An academic search engine that runs natural-language questions against a corpus of more than 200 million peer-reviewed papers and synthesizes the findings with inline citations. Its Consensus Meter aggregates how much the studies agree or disagree, and a copilot helps draft literature reviews. Aimed at researchers, students, and clinicians.

AI research assistant: search, read, and review the literature.

AI workspace for academics that searches a corpus of 280M+ papers, runs literature reviews, and answers questions over PDFs with citations. Adds writing aids like a paraphraser and citation generator. Formerly Typeset.io; introduced agentic 'Deep Review' literature search in 2025. Free Basic tier with paid upgrades.

Grounded research notebook — chat your sources, get Audio Overviews.

Google's source-grounded research tool — upload docs, PDFs, and links, then ask questions answered only from your material, with citations and shareable Audio Overviews. Powered by Gemini.

Prototype with Gemini — prompts, multimodal, and instant API keys.

Google's free playground for building with Gemini — prompt design, multimodal input, structured output, and one-click export to API code. The fastest way to start building on Gemini.

Open-source AI second brain that chats with your docs and the web, local or hosted.

An open-source "AI second brain" for chatting with local or online models, searching across your personal documents and the internet, building custom agents, and automating research. Self-host it on your own machine, or use plugins for Obsidian, Emacs, desktop, and mobile. Licensed AGPL-3.0; a paid managed cloud tier also exists, so it's freemium.

Autonomous AI agent that runs deep multi-source web research and writes cited reports.

An open-source autonomous research agent that plans a task, runs parallel multi-source web searches, validates sources, and synthesizes a cited report. It runs locally as a Python package, FastAPI server, or MCP server, and works with any LLM provider plus a search/retriever backend. Free and Apache-2.0 licensed — you only pay your own LLM and search-API costs.

Models, datasets, papers, spaces. The AI research commons.

Source-of-truth for open-weights models and datasets. Daily-paper feed for tracking research; Spaces for trying ideas without setting up infra. The default home for any model not behind a paid API.