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One CLI for all AI coding agents — running in isolated containers with Docker or Podman. No required configuration, no setup, full observability.
pip install vibepod
vp run <agent>→ Documentation · Website
vibepod-cli — The main CLI (vp). Install via pip and run any agent with a single command through Docker or Podman.
vibepod-proxy — HTTP proxy that captures all outbound traffic from agent containers and logs it to SQLite for inspection and analysis.
vibepod-datasette — Analytics dashboard for browsing captured metrics and logs via Datasette, served at localhost:8001.
vibepod-agents — Container definitions for all supported agents. Each agent is built and published to Docker Hub automatically via CI.
vibepod-skills — Curated reusable skills that can be installed with vp skills for supported agents.
vibepod-skills-engine — Containerized skills manager used by vp skills to install, validate, sync, and update skill folders without requiring local Node tooling.
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.
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