---
title: "Run AI coding agents in isolated containers and compare their behavior side by side with VibePod CLI"
description: "Launch supported coding agents in Docker, collect local metrics and HTTP traces, and compare their runs in a built-in dashboard."
verification: "security_reviewed"
source: "https://github.com/VibePod/vibepod-cli"
author: "VibePod"
publisher_type: "organization"
category:
  - "Developer Tools"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "VibePod/vibepod-cli"
  github_stars: 61
---

# Run AI coding agents in isolated containers and compare their behavior side by side with VibePod CLI

Launch supported coding agents in Docker, collect local metrics and HTTP traces, and compare their runs in a built-in dashboard.

## Prerequisites

Docker plus one of the supported AI coding agents such as Claude, Codex, Gemini, Copilot, Devstral, OpenCode, or Auggie

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Install with pip install vibepod, then run commands such as vp run claude, vp run codex, and vp logs start to launch agents and inspect the local dashboard.
```

## Documentation

- https://vibepod.dev/docs/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/run-ai-coding-agents-in-isolated-containers-and-compare-their-behavior-side-by-side-with-vibepod-cli/)