dzhng/deep-research
deep-research
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Overview
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Best for
- Evaluating deep-research for TypeScript AI workflows.
- Comparing a GitHub project with 18,951 stars and current repository activity.
Pros
- deep-research has visible GitHub traction with 18,951 stars. Topics: agent, ai, gpt.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the MIT terms fit your use case.
Production readiness
deep-research should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
MIT is reported by GitHub; review the repository license before redistribution or commercial use.
Install
npm installdocker compose up -ddocker exec -it deep-research npm run dockerdocker build -f Dockerfilenpm run docker