emdash is an orchestration layer for running multiple AI coding agents in parallel—supporting many providers and models—where each agent runs isolated in its own Git worktree so you can launch, monitor, compare, and even pit agents against each other while assigning issues, tracking real‑time status, reviewing diffs, and opening PRs all from one interface; use it to accelerate development, run experiments across models, and scale coding workflows safely and efficiently.