VibePod CLI | Run and Switch AI Agents Locally

3 min read Original article ↗

Open-source CLI

One local CLI to run and switch coding agents.

Install VibePod from PyPI, run coding agents locally, and switch between agents without breaking flow.

  • Published on PyPI
  • Local-first execution
  • Fast agent switching
  • Ready for scripts and CI
Screenshot of the VibePod CLI tool interface.
CLI-first local workflow with quick agent switching.

Quickstart

Install, verify, and switch locally

Install from PyPI, verify your setup, then use the README to run and switch agents in local workflows.

python -m pip install vibepod
vibepod --help

Tip: pin versions in automation with python -m pip install vibepod==<version>.

Open PyPI Open Docs Quickstart 

$ vp version
VibePod CLI: 0.2.1
Python:      3.12.3
Docker:      28.1.1
Live-style local runtime preview.

How it works

Three commands for local agent switching

  1. List available agents

    Run vp list to see which agents are available in your local setup.

    Note: vp list also shows active workspaces.

  2. Run the agent you want

    Start work with vp run AGENT and switch agents by rerunning the command with a different agent.

    Note: the current folder is used as the active agent workspace.

  3. Open the local interface

    Use vp ui when you want a local UI to monitor and manage your active workflow; it opens automatically in your default browser.

Core features

CLI-first local workflow control

Unified local command surface

Use one CLI to run and manage multiple coding agents in the same local flow.

Proof point: single entrypoint design for multi-agent tasks.

Switch agents quickly

Move from one coding agent to another in seconds when the task changes.

Proof point: less context churn between tools and prompts.

Consistent local runtime

Keep behavior predictable by using the same local CLI flow across projects.

Proof point: repeatable commands across developer machines.

Automation-ready commands

Script local agent runs and switching workflows directly from shell tooling.

Proof point: CLI ergonomics map naturally to automation systems.

Developer-centric flow

Install once, run locally, and keep switching agents without friction.

Proof point: terminal-first interaction cuts UI overhead.

Open-source extensibility

Adopt the default flow or customize around your team’s processes.

Proof point: GitHub-based development and contribution model.

Tool screenshots

Real captures from every supported tool

Included screenshots cover Auggie, Claude Code, GitHub Copilot, Gemini, Mistral, OpenAI Codex, and OpenCode.

FAQ

Top questions

What is the best way to install VibePod CLI?

Install from PyPI using python -m pip install vibepod, then use the README for command examples.

Can I use it for local workflows?

Yes. The core workflow is local CLI usage so you can run and switch coding agents from your machine.

Does VibePod CLI support auto-complete?

Yes. Run vp --install-completion to enable auto-complete and speed up command entry and agent selection.

Which folder is used as the agent workspace?

The current working directory where commands are run is used as the active agent workspace.

Can this run in CI or automation pipelines?

Yes. The same CLI flow used locally can be scripted for CI/CD jobs.

Which coding agents can I switch between?

VibePod is built for switching across supported coding agents from one CLI. Confirm current support in the repo docs.

Where can I track roadmap and issues?

Use the GitHub issues page to follow changes and request features.

Run and switch coding agents locally from one CLI.

Install from PyPI, verify once, and keep moving between agents as your task evolves.