How does Caveman save tokens?

It employs a caveman-like communication style that eliminates unnecessary words and fluff while preserving technical accuracy, reducing token count by approximately 75%.

What platforms does Caveman support?

Caveman supports Claude Code, Cursor, Windsurf, Copilot, and over 40 AI agents via npx skills, with easy installation methods for each platform.

How do I change the intensity level in Caveman?

Use the command /caveman followed by the desired level (e.g., lite, full, ultra) to switch between different compression modes during a session.

Is Caveman open source?

Yes, Caveman is fully open source and available on GitHub, allowing for community contributions, customization, and transparency in development.

Caveman

Why use so many token when few do trick?

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What is Caveman

Caveman is an open-source tool that reduces token usage in AI assistants like Claude by approximately 75% while maintaining technical accuracy, optimizing for cost-efficiency. It supports various platforms including Claude Code, Cursor, and Copilot, with features like adjustable intensity levels, terse commits, and one-line PR reviews. This enables developers to streamline AI interactions without losing essential details.

Key Features

Token reduction of ~75% without losing technical accuracy

Multiple intensity levels: lite, full, ultra, and wenyan variants

Integration with over 40 AI agents and IDEs via npx skills

Terse commit message generation and one-line PR reviews

Input compression for additional token savings

Use Cases

Developers using AI coding assistants to lower operational costs by minimizing token consumption
Software teams requiring efficient code reviews through concise one-line PR summaries
Individual programmers seeking to generate brief commit messages for version control
Users of multiple AI platforms looking for a unified tool to optimize token usage across workflows

Why do startups need this tool?

Startups often operate with limited budgets and need to maximize resource efficiency to scale quickly. Caveman helps reduce costs associated with AI token usage, enabling teams to iterate faster on code without sacrificing quality. Its concise outputs also accelerate development cycles and enhance team productivity in fast-paced environments.