OneSearch

OneSearch is a local AI search organizer that turns flat web results into semantic folders on your own computer, aimed at researchers and heavy searchers who want structure instead of a long list of links. It fetches sources for your query, creates local embeddings, clusters related pages, and labels each group using Ollama running locally, so the AI analysis stays on your machine rather than a cloud service. The desktop app keeps the resulting folder hierarchy visible while individual sources open in separate tabs, letting you compare pages without leaving the search screen. Setup involves installing and running Ollama and pulling models (for example nomic-embed-text and qwen3:4b); the app can auto-install the model from its setup window. Free users can run a lightweight 4B model, while Pro unlocks larger 8B or 14B models that give more precise clustering and folder names at the cost of more memory and processing time. As a local AI search organizer, OneSearch is available for macOS on Apple Silicon and Windows x64, with Pro licensing handled through Paddle. Note the current build is unsigned, so macOS and Windows may show a security warning on first launch.

Best for researchers and power searchers who want web results clustered into semantic folders locally, with private on-device AI via Ollama.