by VibePod · Codex Skill · ★ 80
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VibePod VibePod is a unified CLI () for running AI coding agents in isolated Docker containers — no required configuration, no setup. Just . Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to monitor and compare agents side-by-side. Features ⚡ Zero config — no setup required; just works. Optional YAML for custom configuration 🐳 Isolated agents — each agent runs in its own Docker container 🔀 Unified interface — one CLI for Claude, Gemini, Codex, Devstral/Vibe, Copilot, Auggie, Pi & more 🧩 Skills
| Stars | 80 |
| Forks | 5 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 60.62/100 |
| Open Issues | 11 |
| Last Updated | 2026-06-20 |
| Created | 2026-02-10 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~15k |
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vibepod-cli is Unified CLI for running AI coding agents in isolated containers. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to track agent actions.. It is categorized as a Codex Skill with 80 GitHub stars.
vibepod-cli is primarily written in Python. It covers topics such as auggie, claude-code, codex.
You can find installation instructions and usage details in the vibepod-cli GitHub repository at github.com/VibePod/vibepod-cli. The project has 80 stars and 5 forks, indicating an active community.
vibepod-cli is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to vibepod-cli on Agent Skills Hub include leapmux, squeez, agent-deck. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.