Performs semantic code searches to find logic and patterns based on meaning rather than exact string matches.
OSGrep is a powerful semantic search tool designed for AI agents and developers to navigate large codebases by intent. Unlike traditional grep which relies on exact text matches, OSGrep uses embeddings to find relevant code blocks based on conceptual queries like 'where do we handle authentication' or 'user permission validation.' It provides categorized results, distinguishes between orchestration logic and definitions, and offers advanced features like call graph tracing and file skeleton generation, making it indispensable for understanding complex architectures quickly without reading entire files.
Características Principales
01909 GitHub stars
02Compact output mode for efficient file path discovery
03File skeleton generation for quick structural overviews
04Intelligent categorization of results into logic or definitions
05Conceptual code search using natural language queries
06Call graph tracing to visualize code execution flows
Casos de Uso
01Understanding a new codebase by asking architectural questions
02Locating distributed logic without knowing specific variable names
03Tracing function dependencies and call flows across files
