DeepResearch and deep-research
These are independent competitors offering similar architectures—both implement iterative deep research workflows combining LLMs with search and web scraping—with no direct technical integration or dependency relationship between them.
About DeepResearch
Alibaba-NLP/DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Tongyi DeepResearch helps professionals who need to conduct in-depth research by automating the information-seeking process. You provide a complex question or research query, and it returns a comprehensive answer derived from extensive web searches, document analysis, and reasoning. This tool is ideal for researchers, analysts, or anyone who frequently needs to gather detailed information from various online sources.
About deep-research
dzhng/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.
This tool acts as an AI-powered research assistant, helping you get comprehensive answers on almost any topic. You provide a question or topic, and it returns a detailed markdown report with findings and sources, much like a human researcher would. Anyone who needs to quickly gather and synthesize information from the web for reports, analyses, or learning would find this useful.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work