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Julius Brussee avatar

Caveman

Token-cutting skill and local proxy that makes coding agents terse

  • AI coding agents
  • Agent skills and plugins
View on GitHub
Website

What it is

Caveman shortens what AI coding agents write and read: a skill makes replies terse while leaving code, commands, and errors verbatim, and a local proxy compresses logs, JSON, test output, and web pages before the model sees them. It also adds per-request model selection and reusable agent scripts to lower cost. Developers running Claude Code, Codex, Gemini CLI, OpenCode, and other agents install it with one npx command to cut token spend on their own keys.

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Facts

Stars
113,794 GitHub stars.
113,794

Forks
6,585
Commits
1,822
Contributors
90
Language
Go
License
Apache-2.0
Last commit
Oct 17, 2026
On GitHub since
April 2026
First release
April 2026
Platforms
macOS, Windows, Linux, CLI
Self-hostable
No
Author
Julius Brussee
Tags
  • agent-skills
  • coding-agent
  • context-engineering
  • prompt-engineering
  • proxy

Last synced from GitHub on Oct 20, 2026

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