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Caveman

Caveman is a Go-based skill, proxy and middleware project that compresses explanatory language and selected tool output in AI coding-agent workflows to reduce token volume.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Caveman — OpenViST project profile in Coding Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the skill for shorter agent responses, the proxy for local compression of agent input, or middleware when the same behavior must be integrated into an application.

Who it is for

  • Developers using AI coding agents
  • Teams building applications around LangChain, the Vercel AI SDK, OpenAI or Anthropic calls
  • Users managing token-heavy logs, diffs, JSON, search results or test output

Documented uses

  • Shorten routine coding-agent explanations
  • Reduce the token volume of agent-readable tool output
  • Add token-reduction behavior to an application’s existing model-call layer
Before you choose

Requirements & limits

The repository describes a command-line installation using npx and identifies the project as Apache-2.0 licensed. The supplied material does not document pricing or account requirements.

  • Choose the skill when response wording is the main source of excess tokens.
  • Choose the proxy when logs, diffs, JSON, test output or search results are the main source of excess input.
  • Choose middleware when model calls are made inside an application using a supported SDK or framework.
  • The project claims 65% token reduction, but the supplied material does not include an execution test result for that figure.
  • Compatibility beyond the agents covered by the project documentation is experimental.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Add the Caveman skill to a coding-agent workflow

Install the project’s rule-based skill so a supported coding agent can use shorter explanatory language.

Before you start

  • Node.js tooling capable of running npx
  • A coding agent supported by the project’s installation documentation

Steps

  1. Run the command below.

    Documented command
    npx skills add JuliusBrussee/caveman -g

  2. Use /caveman if the agent does not activate the skill automatically.

Expected outcome

The selected coding-agent workflow receives the Caveman communication rule.

Guide limitations

  • This setup guide does not establish a successful run or quantify token savings.
Documentation 1 ↗Documentation 2 ↗
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
2 October 2026
Original website title
JuliusBrussee/caveman · Official homepage title · retained in its source language
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