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vexor

Vector-powered CLI for semantic file search with a Claude/Codex skill

Author

@sickn33

Category

File Management

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Vexor - Vector-Driven Semantic File Search CLI Tool

Skills Overview


Vexor is a vector-based command-line tool that allows developers to search files and code using natural-language semantic queries, eliminating the hassle of memorizing exact file names.

Use Cases


  • Navigation for Large Codebases - Quickly locate target code from thousands of files based on functional descriptions

  • Fuzzy File Retrieval - When you remember a file’s purpose but not its exact name, describe it in natural language to find it

  • Semantic Search for Knowledge Bases - Perform intelligent retrieval across personal notes and document libraries to find content-relevant files rather than only matching keywords

    • Core Features


  • Semantic File Search - Uses vector embedding technology to understand the semantic meaning of file contents and supports natural-language queries

  • Claude/Codex Skill Integration - Can be used as an extension skill for AI assistants, providing intelligent code navigation capabilities

  • Command-Line Interface - A concise and efficient CLI tool that performs file search directly in the terminal

    • Frequently Asked Questions

    What is Vexor?


    Vexor is a vector-driven command-line tool designed specifically for semantic file search. Unlike traditional keyword-search tools (such as grep), it finds relevant files by understanding the semantic meaning of their contents—so you can look them up using natural-language descriptions.

    How do I install and use Vexor?


    Before installing, make sure your system has a Python environment configured. After installing via pip, run the vexor command in the command line to start searching. For detailed installation steps and usage instructions, refer to the GitHub repository.

    What’s the difference between Vexor and grep?


    Traditional tools like grep can only match literal keyword occurrences in files, while Vexor uses vector embedding technology to understand semantics. For example, if you search for “code related to user login,” grep returns no results (because those exact words don’t exist in the files), but Vexor can find all files containing related concepts such as auth, login, and signin.