Enables local LLMs in LM Studio to perform web searches through a privacy-focused local SearXNG instance. It features concurrent search capabilities, automatic result caching, and advanced filtering options like domain exclusion and time-range limits.
Enables local LLMs to search the web, scrape pages, and extract structured data (tables, metadata) from sources like Wikipedia and IMDb, with caching and rate limiting.
Enables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.
Provides local web search and content fetching capabilities for AI assistants, enabling them to search DuckDuckGo and extract clean text from web pages. All requests originate from the user's machine to ensure direct network control and bypass external proxies.
