In simple English
This tool writes long, detailed research reports for you in minutes. You give it a topic, and it searches the web and reads documents to gather facts. It breaks down complex subjects into structured guides, timelines, and knowledge graphs. You can run it on your own computer or host it online for free. It requires your own application programming interface (API, a way for programs to talk to each other) keys from providers like Google or OpenAI.
What it is
A web application built with Next.js (a framework for building web apps using JavaScript, a programming language) that automates multi-step internet research. It connects to various language models and search engines to compile, summarize, and edit comprehensive reports.
What it is good for
Solo builders who want to quickly investigate market trends, competitor products, or technical topics without spending hours reading search results manually.
- Generates thorough research reports in just a few minutes.
- Supports dozens of AI models and search engines.
- Keeps your research history stored locally in your browser for privacy.
- Requires technical knowledge to set up environment variables and server deployments.
- Relies on paid third-party AI and search application programming interface keys for best results.
- Running it locally requires Node.js and a package manager installed on your machine.
Manual web browsing and note-taking for market research
Ollama
- dzhng/deep-research20k stars
Another open-source research assistant that inspired this project, focusing on autonomous web crawling and synthesis.
- ggml-org/llama.cpp132k stars
A C and C++ library and command-line tool for running language models locally.
- EleutherAI/lm-evaluation-harness14k stars
Runs standard question sets against a language model and reports the scores.
- mudler/LocalAI50k stars
Serves text, vision, speech, image and video models from one self-hosted service that imitates the paid interfaces.
git clone https://github.com/u14app/deep-research.git cd deep-research pnpm install cp env.tpl .env.local pnpm dev