srag Semantic Code Search

Example Use Cases

• 1

  Find and reuse existing code implementations across multiple projects.

• 2

  Analyze project coding patterns and conventions to maintain consistency.

• 3

  Perform semantic search and call graph tracing to assist in debugging and code review.

Description

srag indexes your code repositories using AST-aware chunking and hybrid vector plus full-text search to provide semantic search capabilities. It offers features like pattern analysis, call graph tracing, and secret redaction, allowing AI agents to find relevant code snippets, coding patterns, and implementations across projects. The MCP server communicates via JSON-RPC and integrates with AI tools to enhance code reuse, consistency, and debugging.