umputun

    umputun/ralphex

    Extended Ralph loop for autonomous AI-driven plan execution

    automation
    claude-code
    codex
    ralph-loop
    ralph-wiggum
    review
    Go
    MIT
    1.5K stars
    132 forks
    1.5K GitHub watchers
    Updated Oct 30, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    1 release in the last 90 days, the latest 53 days ago, with 36 contributors on GitHub.

    Gained 69% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Orchestrates autonomous AI-driven plan execution and multi-phase code reviews using Claude Code within git repositories via a CLI tool.
    • Maintains model accuracy by running each task in a fresh Claude Code session, enabling unattended, reliable feature implementation and review.
    • Use for automating complex multi-task feature development with continuous validation and commits in Go or other language projects.
    • Use for running multi-agent AI code reviews and iterative fixes on existing branches to improve code quality without manual intervention.
    • Use for safely executing AI-driven code automation inside Docker containers with isolated environments and real-time web monitoring.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    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 walk away. Come back to find your feature implemented, reviewed, and committed - or check the progress log to see what it's doing.

    Make sure ralphex is installed and your project is a git repository. You need a plan file in docs/plans/, for example:

    ralphex will create a branch, execute tasks, commit results, run multi-phase reviews, and move the plan to completed/ when done.

    Excerpt from the umputun/ralphex README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    132+14

    Open issues

    4-3

    Compared with peers in Automation

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    umputun/ralphex1.5K—4953 days ago
    Category median22.7K+3.0K60—

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