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Speedy, published by Luca Gualandi, is a local semantic search tool for files and code that is currently available at version 0.2.2, with two versions released to date. The software operates through a background daemon that indexes user workspaces using vector embeddings, a technique that transforms files and code into numerical representations capturing semantic meaning. This indexing approach enables fast natural-language search, allowing users to query their content with ordinary phrasing rather than relying solely on exact keyword or filename matching. As a local tool, Speedy performs its indexing and search operations on the user's own machine, keeping workspace data under local control rather than depending on external services. The software provides multiple ways to access its search capabilities, accommodating different working styles and environments: a command-line interface (CLI) suited to terminal-based workflows and scripting, a graphical user interface (GUI) for users who prefer visual interaction, and integrations through MCP server connections that allow the search functionality to be incorporated into compatible tools and workflows. This range of access points makes Speedy relevant to the developer tools and search utility category, particularly for use cases involving the navigation and retrieval of information across large or complex workspaces. Typical applications include locating specific pieces of code within a project, finding files based on the concepts they contain rather than their exact names, and performing rapid searches across an indexed workspace from whichever interface best fits the task at hand. By combining vector embedding-based indexing with a persistent background daemon, Speedy delivers semantic search results quickly once a workspace has been indexed, supporting efficient exploration of files and code through natural-language queries issued from the CLI, GUI, or MCP server integrations.
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