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Product Features and Characteristics

KnowledgeFocus is a macOS desktop application built with privacy as its core design principle. It fully leverages the advantages of native applications for accessing the local file system and harnessing local computing resources.

Product Features

  • KF is an offline search tool for local files. It builds an index by scanning your local files and automatically updates the index in real-time as it monitors file changes.

  • KF proactively recommends local knowledge files. By automatically parsing and extracting summaries from file content, it rapidly applies semantic tags to files, helping you rediscover valuable files that have been buried deep in your hard drive.

  • Chat with your files. No upload required. After preprocessing, KF can answer questions about your file content. In the enhanced "co-reading mode," the AI observes your reading progress and viewport, synthesizing answers by combining external data tools to deliver a unique collaborative reading experience.

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Product Characteristics

  • KF is a local knowledge discovery and data workbench. With data privacy as the top priority, it helps knowledge workers discover, organize, and leverage their knowledge completely offline, continuously building and enhancing data value in the AI era.

  • KF includes a built-in vision model that enables extensive data processing and knowledge-based Q&A without an internet connection, maximizing the value of your local computing resources and unlocking the potential of your existing hardware.

  • KF is a desktop agent platform and a next-generation RPA framework with both observation and control capabilities. With proper OS permissions, it can interact with your entire computer, opening up limitless possibilities.

  • KF is fully open source, built with a modern technology stack: Tauri/Rust + React/TypeScript/Vite/Bun + Python/PydanticAI + TailwindCSS + Shadcn/Tweakcn + Vercel AI SDK v5/AI Elements + SQLite + LanceDB to deliver an excellent user experience. Forks and pull requests are welcome.