by Katagiri-Hoshino-Lab · Codex Skill · ★ 24
VibeCodeHPC Multi-CLI Multi-Agent Auto-Tuning Framework Multiple AI coding CLIs coordinate via tmux — no external orchestration framework required. Pluggable strategies adapt it to various tasks. Typical Workflow (built-in default) Without a custom requirement definition, VibeCodeHPC runs this HPC auto-tuning workflow out of the box. Custom strategies can replace or extend it.
| Stars | 24 |
| Forks | 1 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 60.0225948061982/100 |
| Open Issues | 10 |
| Last Updated | 2026-03-25 |
| Created | 2025-07-17 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~520k |
These tools work well together with VibeCodeHPC for enhanced workflows:
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VibeCodeHPC is CLI-based multi-agents for Auto-Tuning (e.g. HPC code optimazation loops) supporting Local LLMs. It is categorized as a Codex Skill with 24 GitHub stars.
VibeCodeHPC is primarily written in Python. It covers topics such as auto-tuning, claude-code, cline-cli.
You can find installation instructions and usage details in the VibeCodeHPC GitHub repository at github.com/Katagiri-Hoshino-Lab/VibeCodeHPC. The project has 24 stars and 1 forks, indicating an active community.
VibeCodeHPC is released under the MIT license, making it free to use and modify according to the license terms.