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Unified CLI for running AI coding agents in isolated Docker or Podman containers

VibePod released a unified CLI tool called VibePod that runs AI coding agents in isolated Docker or Podman containers with zero configuration, supporting agents including Claude, Gemini, Codex, Devstral/Vibe, Copilot, Auggie, Pi, and Agy. The tool features local metrics collection, HTTP traffic tracking, and an analytics dashboard for side-by-side agent comparison, with all data stored locally for privacy.

read2 min views62 publishedJul 13, 2026
Unified CLI for running AI coding agents in isolated Docker or Podman containers
Image: Michielbdejong (auto-discovered)

VibePod is a unified CLI (vp

) for running AI coding agents in isolated Docker or Podman containers β€” no required configuration, no setup. Just vp run <agent>

. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to monitor and compare agents side-by-side.

  • ⚑ Zero configβ€” no setup required;vp run <agent>

just works. Optional YAML for custom configuration - 🐳 Isolated agentsβ€” each agent runs in its own Docker or Podman container - πŸ”€ Unified interfaceβ€” one CLI for Claude, Gemini, Codex, Devstral/Vibe, Copilot, Auggie, Pi, Agy & more - 🧩 Skillsβ€” install reusable prompt recipes per-project or per-user withvp skills add

  • πŸ“Š Local analytics dashboardβ€” track usage and HTTP traffic per agent, plus token metrics - βš–οΈ Agent comparisonβ€” benchmark multiple agents against each other in the dashboard - πŸ”’ Privacy-firstβ€” all metrics collected and stored locally, never sent to the cloud - πŸ“¦ Simple installβ€”pip install vibepod

VibePod is available on PyPI:

pip install vibepod
vp run <agent>
vp run claude
vp run codex
vp run vibe   # alias of devstral

Extra arguments after the agent are forwarded to the agent process. Use --

before agent flags so VibePod does not parse them as its own options:

vp run <agent> -- <agent-args>

Use --ikwid

to append each agent's auto-approval / permission-skip flag when supported.

Agent --ikwid appended args
claude
--dangerously-skip-permissions
gemini
--approval-mode=yolo
devstral (vibe )
--auto-approve
copilot
--yolo
codex
--dangerously-bypass-approvals-and-sandbox
pi
--approve
agy
--dangerously-skip-permissions
opencode
Not supported
auggie
Not supported

This repository contains an initial v1 implementation with:

vp run <agent>

vp stop <agent|--all>

vp list

vp config init

vp config show

vp config path

vp version

VibePod collects metrics locally while your agents run and serves them through a built-in dashboard.

Command Description
vp logs start
Start or resume dashboard for collected metrics
vp logs stop
Stop the dashboard container
vp logs status
Show dashboard container status

The dashboard shows per-agent HTTP traffic, usage over time, and Claude token metrics. It also lets you compare agents side-by-side. All data stays on your machine.

All agent images are published under the vibepod namespace on Docker Hub. Source Dockerfiles are in

VibePod/vibepod-agents.

Current defaults:

claude

->vibepod/claude:latest

gemini

->vibepod/gemini:latest

opencode

->vibepod/opencode:latest

devstral

(alias:vibe

) ->vibepod/devstral:latest

auggie

->vibepod/auggie:latest

copilot

->vibepod/copilot:latest

codex

->vibepod/codex:latest

pi

->vibepod/pi:latest

agy

->vibepod/agy:latest

datasette

->vibepod/datasette:latest

proxy

->vibepod/proxy:latest

(repo)

You can override any single image directly:

VP_IMAGE_CLAUDE=vibepod/claude:latest vp run claude
VP_IMAGE_GEMINI=vibepod/gemini:latest vp run gemini
VP_IMAGE_OPENCODE=vibepod/opencode:latest vp run opencode
VP_IMAGE_DEVSTRAL=vibepod/devstral:latest vp run devstral
VP_IMAGE_DEVSTRAL=vibepod/devstral:latest vp run vibe   # same agent/image as devstral
VP_IMAGE_AUGGIE=vibepod/auggie:latest vp run auggie
VP_IMAGE_COPILOT=vibepod/copilot:latest vp run copilot
VP_IMAGE_CODEX=vibepod/codex:latest vp run codex
VP_IMAGE_PI=vibepod/pi:latest vp run pi
VP_IMAGE_AGY=vibepod/agy:latest vp run agy
VP_DATASETTE_IMAGE=vibepod/datasette:latest vp logs start
VP_SKILLS_ENGINE_IMAGE=vibepod/skills-engine:latest vp skills list

MIT License - see LICENSE for details.

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