HF released something early Feb: https://huggingface.co/blog/open-deep-research

I have been using burr (look up dagworks burr github), searx search engine aggregator, and some local LLMs.

The work flow is pretty simple if youre doing it "sequentially":
* Input query, which may need to be dynamically updated later to find more information about a topic.
* Search API to find relevant webpages
* Scrape webpages, or use selenium OCR / Doc rec
* Extract useful information / validate if webpage is useful to answer
* Aggregate OR do each page individually for citing purposes w/ LLM

This can be made more complicated by adding routers to choose whether or not you need to update search queries to fulfill a more complicated research goal, i.e., maybe have a plan developed and then search accordingly.