ralphex — Codex Skill by umputun

by umputun · Codex Skill · ★ 1.1k

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About ralphex

Autonomous plan execution with Claude Code ralphex is a standalone CLI tool that runs in your terminal from the root of a git repository. It orchestrates Claude Code to execute implementation plans autonomously - no IDE plugins or cloud services required, just Claude Code and a single binary. Claude Code is powerful but interactive - it requires you to watch, approve, and guide each step. For complex features spanning multiple tasks, this means hours of babysitting. Worse, as context fills up during long sessions, the model's quality degrades - it starts making mistakes, forgetting earlier decisions, and producing worse code. ralphex solves both problems. Each task executes in a fresh Claude Code session with minimal context, keeping the model sharp throughout the entire plan. Write a plan with tasks and validation commands, start ralphex, and

automationclaude-codecodexralph-loopralph-wiggumreview

Quick Facts

Stars1,109
Forks87
LanguageGo
CategoryCodex Skill
LicenseMIT
Quality Score58.476/100
Open Issues5
Last Updated2026-05-05
Created2026-01-19
Platformsclaude-code, codex, go
Est. Tokens~1097k

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Frequently Asked Questions

What is ralphex?

ralphex is Extended Ralph loop for autonomous AI-driven plan execution. It is categorized as a Codex Skill with 1.1k GitHub stars.

What programming language is ralphex written in?

ralphex is primarily written in Go. It covers topics such as automation, claude-code, codex.

How do I install or use ralphex?

You can find installation instructions and usage details in the ralphex GitHub repository at github.com/umputun/ralphex. The project has 1.1k stars and 87 forks, indicating an active community.

What license does ralphex use?

ralphex is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ralphex?

The top alternatives to ralphex on Agent Skills Hub include awesome-agent-orchestrators, clay, golutra. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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