How do you manage git worktrees for parallel AI agents?

Each agent gets its own worktree (isolated working directory). Worktrunk (5.4k stars) provides a 3-command CLI to create, list, and delete worktrees designed for parallel agent use. Manual approach: git worktree add per branch.

A CLI for git worktree management built for running multiple AI coding agents in parallel. Three core commands: create a worktree, list active worktrees with agent status, clean up finished worktrees.

How do you use git worktrees with multiple repos?

It's manual: create a worktree in each repo with the same branch name, run hooks, install deps, and clean up across all of them. No single tool automates this across N repos.

Why is multi-repo worktree management hard?

GUI tools like Fork show one repo at a time. Creating the same worktree in 5 repos requires 5 separate commands. Status tracking is per-repo. Cleanup requires remembering what was created where.

Is there a GUI for git worktree management?

No dedicated GUI. Most devs use terminal tools (Worktrunk, wt) or shell aliases. GUI git clients (Fork, Sourcetree) treat each worktree as a separate repo, not a coordinated set.

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⚠ IssueUnderserveddev_tool_cliLive

Managing git worktrees across multiple repos for parallel AI agents is manual and error-prone

Developers running 3+ parallel coding agents each need isolated worktrees. Creating the same worktree in 5 repos, tracking status across them, and cleaning up is tedious. Worktrunk (5.4k stars) was built specifically for this: 3-command CLI for worktree management designed for parallel agent workflows. A Medium article 'Git Worktrees Are Great. Managing Them Across 3 Repos Is Not.' (April 2026) captured the frustration. The pattern: every dev running parallel agents has hand-rolled their own worktree shell scripts.

Product Idea from this Signal

A CLI tool that gives parallel AI coding agents isolated git worktrees and shared task state with no server

6.3k ▲

Running multiple AI coding agents in the same repo causes merge conflicts, clobbered files, and lost task context because agents share a single working tree and there is no lightweight way to coordinate which agent owns which task. Developers need a way to spin up N isolated worktrees on demand, route tasks to each agent, and let agents read shared task state without standing up a database or server. This tool handles the full lifecycle: worktree creation, task routing, status sync via flat files, and teardown.

ai-agentsgit-worktreesparallel-developmentclideveloper-toolslocal-firsttask-management

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