umputun/ralphex
Extended Ralph loop for autonomous AI-driven plan execution
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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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.
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
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Panniantong/Agent-Reach | 109.3K | +3.0K | 60 | 4 days ago |
| lexmount/moli | 22.7K | +1.2K | 55 | 2 days ago |
| superplanehq/superplane | 8.8K | +435 | 60 | 7 days ago |
| umputun/ralphex | 1.5K | — | 49 | 53 days ago |
| Category median | 22.7K | +3.0K | 60 | — |
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