Carto, a Context Management Tool for AI Coding Agents

Carto, an open-source tool designed to solve the problem of AI coding tools failing to grasp a project's actual structure—suggesting incorrect API paths or getting file locations wrong—has been released.

Carto automatically generates and maintains an AGENTS.md file at the project root. This file serves as standardized project context that any AI coding tool—Cursor, Copilot, Claude, and others—can read.

Key Features:

• Real-time context updates: Every time code is saved, it extracts routes, models, functions, dependencies, and more to keep AGENTS.md up to date.
• Improved accuracy: By letting AI accurately understand the project's actual API paths, controller paths, tRPC files, and more, it helps AI write correct code in one shot without needing to ask follow-up questions.
• Impact analysis (carto impact): Before modifying a specific file, it analyzes which files or routes that file affects, helping prevent potential bugs in advance.

This tool runs locally without any cloud connection, and instead of simply feeding AI a massive amount of context, it maximizes work efficiency by providing an accurate map.