contextcost is a CLI tool that measures what a repository costs an AI coding agent to read in tokens. It helps developers identify parts of the codebase that waste context budget, then proves the savings after optimizations. Built for users of tools like Claude Code and Cursor who work with large repositories.
In the Developer Tools space, contextcost takes a focused approach. It focuses on understanding and reducing the context cost that large codebases impose on AI coding agents like Claude. It is built as an open-source project for AI engineers and developers using LLM coding tools. The project is open source (MIT). contextcost is available on the command line.
It is developed by CAOShurong, and it first shipped in 2026. The project is developed in the open on GitHub with 19 commits in the last 90 days. Key capabilities include Token Counting, Codebase Analysis, and Cost Measurement.
Summary written by a language model from the project’s public pages.
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