MemFree

MemFree is a hybrid AI search engine that combines personal knowledge base retrieval with real-time internet search to deliver precise and contextual answers. Unlike traditional search tools, it integrates multiple data sources into a single interface, allowing users to query both their own stored information—such as bookmarked web pages, uploaded PDFs, and saved images—and live results from the web simultaneously. The system uses a two-tier approach: first, it indexes the user’s local content (e.g., documents, notes, or previously visited pages) using vector embeddings, then merges those results with fresh data from search engines, social platforms, and product databases. This enables users to ask natural-language questions and receive answers that combine personal context with up-to-date external facts. Specifically, MemFree supports searching for Twitter discussions and Product Hunt threads, making it useful for tracking community feedback, product launches, or trending topics. Users can input a query like “summarize feedback on GPT-5 from Twitter” or “find the latest Product Hunt posts about AI coding agents,” and the tool will crawl and summarize relevant posts, comments, and reviews. It also offers a “Hybrid Web Search” mode that blends general web results with the user’s own curated knowledge base, ensuring that answers are not only accurate but also tailored to the individual’s previous research or notes. For document and image handling, MemFree enables uploading PDFs or attaching web images directly in the search interface. The system can extract text from PDFs, analyze image content (via OCR or visual understanding), and incorporate those insights into the search result. Users can also summarize lengthy web pages or PDFs by simply providing the URL or file, re