worktrunk

You can run parallel AI agents in isolated git worktrees by using commands like wt switch --create to generate a branch and launch an agent session. This isolates experiments and simplifies lifecycle management.

Managing multi-branch AI agent experimentation without drift is best handled by orchestrating sessions within isolated git worktrees. This approach applies per-worktree hooks and dev servers to keep all parallel explorations reproducible.

You configure per-worktree hooks and dev servers for automated agent lifecycles using the configuration surfaces provided by the orchestration tool. This enables hook-driven automation and resource isolation for scalable agent coordination.

Yes, you can merge and remove git worktrees when coordinating parallel agent sessions by using the wt merge and wt remove commands. These commands manage the lifecycle and cleanup of isolated branches after experimentation.

Yes, worktrunk supports launching specific AI agents like claude into a new worktree. You can execute a single command such as wt switch --create feat -x claude to create a feature branch and launch the agent.

You need to use git worktrees for AI agent orchestration when running collaboration-heavy workflows that require multi-branch experimentation. It eliminates manual setup and drift by providing isolated environments for parallel exploration.