Show HN: Librarium – fan out research queries to many search/AI APIs in parallel (github.com)

Librarium, a new tool featured on Show HN, enables users to fan out their research queries across various search and AI APIs simultaneously. Drawing inspiration from Aaron Francis' counselors project, Librarium collects, normalizes, and deduplicates data from multiple sources, providing a structured output that enhances the research process. This tool supports a range of APIs categorized into tiers based on their depth and speed, including deep-research providers for comprehensive reports, AI-grounded searches for quick responses, and traditional search engines for broad fact-checking. For the AI and ML community, Librarium represents a significant advancement in multi-source information retrieval, making it easier for users to perform thorough research across diverse platforms efficiently. Key features include the ability to auto-configure by detecting API keys from the environment, run queries with customizable execution modes (synchronous, asynchronous, or mixed), and manage collections of provider IDs for tailored research approaches. This powerful tool not only streamlines information gathering but also facilitates deeper insights through cross-referencing data from various providers, making it a valuable resource for researchers and developers alike.