Your AI Agent Wastes 87% of Its Tokens Just Finding Code. I Fixed That.

Hypergrep is an advanced search tool designed to optimize the interaction between AI agents and software codebases. It leverages several innovative techniques to provide faster, more efficient, and contextually relevant results compared to traditional tools like ripgrep. Here's a detailed breakdown of its features and benefits:

Key Features

1. Trigram Filtering:

   • Hypergrep uses trigrams (three-letter sequences) to filter out irrelevant files before performing a full text search. This significantly reduces the number of files that need to be scanned, resulting in faster query times.

2. Tree-Sitter Integration:

   • By integrating with Tree-Sitter, an advanced parser for source code, Hypergrep can understand and extract semantic information from code files. This allows it to provide more precise search results and context-aware insights.

3. Dependency Graphs:

   • Hypergrep builds a dependency graph of the entire codebase, which enables features like impact analysis and call graphs. This helps in understanding how changes to one part of the code might affect other parts.

4. Context-Aware Search Results:

   • Unlike traditional text search tools that return all matching lines, Hypergrep ranks results based on relevance and context. It can provide

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