Codecortex provides AI agents with persistent, deep knowledge of your codebase, enabling them to understand architecture, dependencies, and hidden couplings across 27 languages. It builds and serves a local knowledge layer using the Model Context Protocol (MCP), allowing any MCP-compatible AI agents to access and leverage pre-analyzed codebase data. It is ideal for development teams and individuals using AI coding agents who want to reduce redundant computation, speed up agent onboarding, and maintain consistent context across different agents.
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