Show HN: Writing a deep-research agent from scratch (deep-research-agent.pagey.site)

A new open-source project has emerged, dubbed the "Hello World Research Agent," aimed at creating a full-fledged deep-research agent from scratch. This initiative responds to the growing interest in deep research capabilities within AI products, enabling users to generate structured analyses complete with citations rather than simple summaries. The creator emphasizes the extensive technical challenges involved, such as handling diverse content formats, overcoming bot detection mechanisms, and ensuring cost-efficiency during the web scraping process. Unlike typical summarization tools, this system is designed to conduct comprehensive searches, maintain citation integrity, and incorporate various defensive features to manage the complexities of real-world web content. The project introduces several innovative technical solutions, including a multi-query approach to expand research coverage and robust normalization processes to avoid citation issues from duplicate URLs. The agent is structured to iteratively refine its research by recursively extracting additional sources and queries without spiraling out of control. By establishing clear guidelines and limits, it prevents excessive fetching and focuses on delivering reliable results. This initiative not only showcases the prospects of building personalized research tools but also highlights the importance of overcoming the inherent challenges in web research, paving the way for more sophisticated AI-driven informational systems within the AI/ML community.