Search Results for "open source kms"

MiniSearch is a minimalist web search application with a built-in AI assistant that runs largely inside the browser for privacy-focused information retrieval. The project combines metasearch capabilities with local or remote language model inference to provide conversational answers alongside traditional search results. It is designed to be lightweight, easy to deploy with Docker, and configurable for both personal and hosted use cases. The platform supports browser-level integration so...

The name “SWR” is derived from stale-while-revalidate, a HTTP cache invalidation strategy popularized by HTTP RFC 5861. SWR is a strategy to first return the data from cache (stale), then send the fetch request (revalidate), and finally come with the up-to-date data. With SWR, components will get a stream of data updates constantly and automatically. And the UI will be always fast and reactive. With just one single line of code, you can simplify the logic of data fetching in your project,...

Searchmonkey III is a modern desktop search tool for finding text in your files instantly. Originally used by thousands of Linux users, it has been rebuilt from the ground up for macOS, Windows, and Linux. Unlike traditional search tools, it performs real-time searches directly on disk — no indexing, no background services, and no stale results. Powered by ripgrep, it delivers fast, accurate results with support for regular expressions, file filtering, and live previews. Available...

Syncdrome is a standalone tool that creates a comprehensive catalog of files from your personal hard drives. It enables rapid keyword searches, delivering results in a style similar to web search engines. When a drive is connected, you can directly open files with your system’s default applications. The application lets you designate a working folder for storing the file catalog, which can even be located on a cloud storage service like Dropbox or Google Drive for easy access from any...

Paul Graham GPT is a specialized AI-powered search and chat app built on a corpus of essays from Paul Graham, giving users the ability to query and discuss his writings in a conversational way. The repo stores the full text of his essays (chunked), uses embeddings (e.g. via OpenAI embeddings) to allow semantic search over that corpus, and hosts a chat interface that combines retrieval results with LLM-based answering — enabling RAG (retrieval-augmented generation) over a fixed dataset. The...

Web Page Application: https://shemeshg.github.io/desktop-search/ Github: https://github.com/shemeshg/desktop-search-code * Dropbox sync is performed manually (from admin screen) and not on interval.