OSGrep Semantic Code Search

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Performs semantic search across codebases to locate logic, entry points, and architectural patterns using conceptual queries rather than exact string matches.

Enhance code navigation with semantic search capabilities that allow developers to find code based on meaning and intent rather than just literal strings. OSGrep complements traditional tools like ripgrep by identifying architectural entry points, tracing call graphs, and summarizing large files through skeleton views. By categorizing results into logical orchestrators or definitions and providing high-context snippets, it helps AI agents and developers quickly grasp how a system handles specific tasks like authentication or data validation without needing to read entire files manually.

主な機能

01Context-rich snippets with relevance scoring and call metadata
02Skeleton generation to summarize the structure of large source files
03Semantic conceptual matching for code discovery beyond exact string matches
04Call graph tracing to visualize and understand complex execution flows
05882 GitHub stars
06Automated classification of code snippets as logic orchestration or type definitions

ユースケース

01Tracing call flows and dependencies for specific functions to understand logic execution
02Navigating a large codebase by asking conceptual questions like 'where do we handle auth?'
03Quickly identifying the structure and entry points of unfamiliar files or modules