by PageAI-Pro · Codex Skill · ★ 265
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A Ralph Wiggum Loop implementation that works™ 📚 Full docs: ralphloop.sh Ralph is a long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion. This allows for long running agent loops, effectively enabling AI to code for days at a time. This is an implementation that actually works, containing a hackable script so you can configure it to your env and favorite agentic AI CLI. It's set up by default to use Claude Code in Docker Sandboxes, and supports multiple Docker Sandboxes agents. 👉 Watch the video for an in-depth walkthrough. Getting Started (Optional) Set up code base 1️⃣ Step 1: Install Ralph 2️⃣ Step 2: Create a PRD + task list 3️⃣ Step 3: Set up the agent inside Docker Sandboxes 4️⃣ Step 4: Run Ralph [Running the Ralph Loop with custom options](#running-the-
| Stars | 265 |
| Forks | 37 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 73.2778351893218/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-28 |
| Created | 2026-01-26 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~15k |
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ralph-loop is A long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion.. It is categorized as a Codex Skill with 265 GitHub stars.
ralph-loop is primarily written in Shell. It covers topics such as agentic-ai, ai, claude-code.
You can find installation instructions and usage details in the ralph-loop GitHub repository at github.com/PageAI-Pro/ralph-loop. The project has 265 stars and 37 forks, indicating an active community.
ralph-loop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ralph-loop on Agent Skills Hub include awesome-agent-orchestrators, awesome-ralph, codexia. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.