Saved Search Preferences Management

via “user preference persistence and customization”

Privacy-respecting metasearch — 70+ engines, no tracking, self-hosted, JSON API for AI agents.

Unique: Implements a preferences layer (preferences.py) that decouples user settings from search logic, allowing preferences to be sourced from cookies, URL parameters, or server-side sessions. Preferences are normalized into a configuration object that's passed through the search pipeline, enabling engine selection and result filtering without conditional logic in the search orchestration layer.

vs others: Unlike search engines that require account creation for preference persistence, SearXNG stores preferences in cookies by default (no account needed) and supports server-side persistence for organizations that want centralized preference management.

via “user-centric search customization”

Search Twitter using advanced operators to find relevant tweets, media, and links. Filter by users, hashtags, dates, sentiment, and more, then paginate through results to explore deeper. Discover timely conversations and gather insights fast.

Unique: Incorporates a user profile management system that allows for seamless saving and retrieval of search preferences, enhancing user experience.

vs others: More user-friendly than traditional search tools that require manual re-entry of filters.

An Airbnb search desktop extension that offers advanced filtering features and detailed listing information, suitable for travel planning and listing research.

Unique: Utilizes local storage to save user preferences, allowing for quick retrieval and enhanced user experience.

vs others: More user-friendly than alternatives that require reconfiguration of filters for each search.

via “search-history-persistence-and-sidebar-management”

Open Source Hybrid AI Search Engine

via “saved-search-management”

via “saved-search-and-project-management”

via “search history and saved searches”