TheAuditorTool/Auditor

Release channel for TheAuditor — see blog.theauditortool.com

What it solves

TheAuditor solves the problem of AI agents and security teams having to read entire files repeatedly to understand a codebase. It replaces this inefficient process with a deterministic, queryable database of code facts, reducing token costs and improving the focus of the answers provided to agents.

How it works

The tool indexes a codebase into structured facts about symbols, dependencies, architecture, and security. It then provides a focused CLI and Model Context Protocol (MCP) interface that allows agents to ask specific questions and receive bounded, task-specific answers based on that index, all while keeping the analysis and storage local to the operator's machine.

Who it’s for

It is designed for AI agents and security teams who need to perform code navigation, change-impact analysis, and polyglot security findings without sending massive amounts of code to an LLM.

Highlights

  • Query-first context: Index once and answer questions from structured facts rather than reading files.
  • Lower context cost: Internal evaluations show up to 87% lower token use in specific workflows.
  • Local-first design: Source analysis and storage remain on the operator's machine for privacy and security.
  • Agent-ready: Specifically built with CLI and MCP interfaces for AI agents.

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