CodeCortex provides persistent, structured codebase knowledge specifically for AI coding agents. It enables agents to skip redundant codebase exploration, offering architectural maps, dependency graphs, risk scores, and insights about temporal coupling, all served locally via the Model Context Protocol (MCP). Supporting 27 programming languages and designed to work with any MCP-compatible agent, it dramatically reduces required tokens and tool calls for code understanding tasks. CodeCortex is ideal for developers and teams using AI agents to interact with large, complex codebases.
Visit Codecortex's official website for product details and getting started.