Running several AI coding agents at once fails when they share one working directory. Git worktrees already give each agent its own checkout of the same repository, so a custom version-control layer is worth building only if it adds something worktrees do not: task coordination, a different history model, or a cleanup policy. This article covers that design space. It does not document a released system under the title’s name. As of October 2026, no public repository, release, or benchmark for such a system was confirmed in the sources reviewed, so the claims below are limited to documented Git behavior and to projects that publish their own feature descriptions.
Why parallel agents collide in one checkout
A single working tree holds one set of files and one checked-out branch. When two agents edit the same tree, one agent’s half-finished change becomes the other’s starting point, builds break for reasons unrelated to either task, and a test run can measure code that neither agent intended to ship. The collision is in the files, not in the commit history, so ordinary branching alone does not prevent it.
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Any parallel setup therefore needs three things: separate file state for each agent, a clear mapping from each agent to one branch, and a way to retire that state when the work is merged or abandoned.
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Git’s official documentation describes the feature this way: “A git repository can support multiple working trees, allowing you to check out more than one branch at a time.” A linked worktree shares the repository’s objects and refs with the main working tree, but keeps some state per worktree, including HEAD and the index. That split is what makes parallel checkouts cheap and independent.
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Git also includes guardrails that matter for agents:
- By default, Git refuses to check out a branch that is already checked out in another worktree. This stops two agents from writing to the same branch by accident.
- Worktrees can be listed, locked, removed, pruned, and repaired with dedicated subcommands, so stale checkouts can be inspected and cleaned up without deleting the repository.
A typical setup creates one worktree per task:
- From the main repository, run
git worktree add ../repo-agent-login -b agent/loginto create a new branch and check it out in a sibling directory. - Start one agent inside
../repo-agent-login. Repeat for each task, using a different branch and directory. - Run
git worktree listto confirm which branch each directory holds before starting or reviewing work. - When a task is merged or abandoned, run
git worktree remove ../repo-agent-login, then delete the branch if it is no longer needed.
Worktrees solve isolation. They do not decide which agent should take which task, and they do not stop two agents from attempting the same work with different branch names.
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Where plain worktrees stop
Three gaps appear once a team runs more than a few agents:
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- Task duplication. Git has no concept of a claimed task. Two agents given overlapping instructions can produce competing branches that both touch the same module.
- Session lifecycle. Git tracks checkouts, not the processes running inside them. Knowing whether an agent is still working, stalled, or finished requires another tool.
- History semantics. Git commits are snapshots authored by people or scripts. Agent workflows sometimes need finer-grained records of which operation produced which change, and Git does not model operations as first-class objects.
Purpose-built alternatives in Rust and adjacent tools
Several projects target these gaps. Each description below comes from the project’s own documentation or feature listing. None of them has been independently benchmarked in the sources reviewed, so the descriptions say what each project claims, not how well it performs.
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CodeTree
CodeTree is published as a Rust crate that describes itself as a standalone version-control system. Its crate documentation says it has its own object store, refs, commits, and trees, and that it exposes history through an operation-centric model. That makes it a different design from Git: it does not sit on top of a Git repository. It shows what a from-scratch Rust VCS for agents can look like, but it is not evidence about any particular swarm system.
Braid
Braid documents task claims across agent worktrees. The claim mechanism addresses the duplication gap directly: an agent records that it owns a task, and other agents can see that the work is taken. Braid’s documentation is the source for this feature; the sources reviewed did not include a third-party evaluation of how reliably claims hold under concurrent use.
Rank #4
Agent of Empires
Agent of Empires is described as a Rust and tmux-based session manager. Its documented features include optional branch creation, built-in worktree support, and optional container isolation for agent sessions. It targets the session lifecycle gap, with isolation levels the user chooses per session.
Daintree
Daintree describes parallel agents running across worktrees with orchestration features layered on top. Its public description is the basis for the orchestration claims here. Like the other projects, it is a vendor or project claim rather than an independent test.
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Comparison of the approaches
| Approach | Isolation model | Coordination | Safeguards and cleanup | Evidence available |
|---|---|---|---|---|
| Git worktrees | Separate working trees sharing one repository; per-worktree HEAD and index |
Not part of Git; left to the user or a wrapper tool | Refuses a branch already checked out elsewhere by default; list, lock, remove, prune, and repair commands | Official Git documentation |
| CodeTree (Rust crate) | Its own object store, refs, commits, and trees, not a Git repository | Not stated in the crate documentation reviewed | Not stated in the crate documentation reviewed | Crate documentation only; no independent tests found |
| Braid | Worktrees for each agent | Task claims across agent worktrees | Not stated in the documentation reviewed | Project documentation only |
| Agent of Empires | Built-in worktrees; optional branch creation; optional container isolation | Session management | Not stated in the documentation reviewed | Project documentation only |
| Daintree | Parallel agents across worktrees | Orchestration features | Not stated in the documentation reviewed | Project description only |
What a “multiverse” model would have to add
“Multiverse” is evocative framing. Nothing in the sources reviewed shows a special data model in any of the systems above that would justify the term. A useful version of the idea would need to define something concrete: for example, that each agent’s branch is a named universe with its own history, that merges are explicit reconciliations between universes, and that a conflict between universes is recorded rather than silently overwritten. Those are design requirements, not features of an existing product. If a project adopts this language, check whether it specifies the semantics above or uses the word only for branching.
Checklist before adopting a parallel-agent setup
- Confirm the project’s public repository, license, and release tag, and read its documented behavior for concurrent writes.
- Test two agents against the same task description to see whether claims or branch rules prevent duplicate work.
- Decide who removes stale worktrees, and schedule
git worktree pruneor an equivalent cleanup step. - Check whether the tool stores agent output in Git history, a separate store, or both, and how you would recover a discarded branch.
- Treat vendor descriptions as claims until your own runs, or an independent report, confirm them.
The Bottom Line
For most teams, Git worktrees are the correct starting point: they are documented, they prevent the most common branch collision by default, and they clean up with standard commands. A custom Rust version-control system or an orchestration layer is justified only when you need task claiming, session supervision, or a different history model that worktrees do not provide. Choose the layer that closes the specific gap you have, and verify its claims on your own repository before depending on them.
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