OpenWebResearcher acts as an autonomous web research assistant by orchestrating a pipeline of web crawling, data extraction, and AI-driven summarization. After configuration, the agent navigates target sites, identifies relevant content via heuristics or user-defined criteria, and retrieves structured data. It then employs large language models to analyze, filter, and distill key insights, generating bullet-point summaries or detailed reports. Users can customize scraping parameters, integrate custom plugins for specialized processing, and schedule recurring research tasks. The modular architecture lets developers extend capabilities with new parsers or output formats. Ideal for competitive intelligence, academic literature reviews, market analysis, and content monitoring, OpenWebResearcher reduces the time spent on manual data gathering and synthesis.

Auto Market Scanner is a tool designed to automate the scanning of stock and crypto markets based on user-defined strategies. It aims to minimize the time traders spend on manual market analysis by providing real-time data and insights. Users can create and customize their strategies, and the scanner will continuously monitor and analyze the markets accordingly. With features like strategy building and auto-pilot mode, AMS helps traders make informed decisions and stay ahead of market trends.