https://brainedai.netlify.app/en/tools/web-search/brained-search/

Version 0.9.2, now it can scrape arxiv paper (if a HTML version exist, not the PDF), and other improvements.

A tool specially designed for BDS1 agent, but work well for any deepsearch agent.

This tool works in four steps: Step 1: It searches the internet using a few keywords (query) Step 2: LLM 1 selects the URLs to scrape based on a query related to the cycle (query_2) Step 3: It scrapes the URLs selected by LLM 1 Step 4: LLM 2 selects interesting information from scraped pages based on a query related to the cycle (query_2)

Important: You need to have a local SearXNG server. The minimum parameters to enter are the API keys for OpenRouter. If you put a LangSearch API key (free) you will have a solid fallback.

If you don’t want to install a local SearXNG server, use Brained Search DDGS (soon) or Brained Search LangSearch (soon).

This one uses Beautifulsoup scraper (CPU). So if you put 1 main (cloud) and two “secondary” (this version that use CPU), you don’t use too many resources.

The function of this tool is: xng_smart_search

A special version for OpenRouter that allows you to configure fallback models and prioritize providers using a list (provider IDs are separated by commas without spaces) or by enabling “Llm 2 Enable Throughput Sort.” If you enable this option, you disable the list of providers to prioritize and enable prioritization based on throughput, and you also enable the ability to disable providers that are too expensive (fast but expensive). https://openrouter.ai/docs/features/provider-routing