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Running several AI coding agents against one codebase at the same time fails quickly unless each agent has its own working files and its own branch. Git worktrees already provide that separation. Rust-based agent tools add session management, task coordination, and in some cases their own version-control storage on top. This article explains the mechanics, what each layer does, and what is and is not established about a system marketed as “multiverse” version control for AI swarms.
No public repository, release, or technical write-up for a system matching this title could be located when this article was prepared. The sections below therefore treat “we built” as a premise, not as a documented project. They rely on Git’s own documentation and on the project pages of tools that describe their features.
What “multiverse” means in practice
In the sources reviewed, “multiverse” is framing. The mechanisms that actually exist are ordinary branches and working trees. Each agent gets a separate directory and a separate branch, so its edits do not alter another agent’s files until someone merges them. None of the documented tools reviewed describes a special multiverse data model, so the word should be read as a metaphor for many parallel histories, not as a new storage format.
Why parallel agents collide in one checkout
If several agents share one working directory, the problems are predictable:
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- One agent’s half-finished edit appears in another agent’s test run.
- An agent that switches branches changes files underneath a running neighbour.
- Two agents committing to the same branch overwrite each other’s history or produce conflicts nobody planned for.
Separating working trees and branches addresses all three. The question is how much more coordination is needed beyond that.
How Git worktrees isolate agents
Git’s git-worktree documentation states: “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 history but keeps its own HEAD and index. That split is what makes the arrangement useful for agents: one shared history, separate files and staging areas.
Rank #2
A minimal setup for three agents looks like this:
- From the main repository, create a worktree and branch for the first agent:
git worktree add -b agent/a ../agent-a main. - Repeat for each additional agent, using a unique branch name and path:
git worktree add -b agent/b ../agent-b main. - Start each agent with its working directory set to its own path, never to the main checkout.
- Confirm the layout with
git worktree list, which shows each path and the branch it has checked out. - When an agent finishes, inspect its commits before merging:
git log --oneline main..agent/a, run from the main repository. - Merge the reviewed branch into
mainfrom the main worktree. - Remove the finished worktree with
git worktree remove ../agent-a, then delete the branch withgit branch -d agent/aonce it has been merged.
Safeguards and recovery
Git includes several protections that matter once more than one agent is writing:
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- Branch exclusivity. By default, Git refuses to check out a branch that is already checked out in another worktree, so two agents cannot silently share one branch.
- Locking.
git worktree lockmarks a worktree so that pruning will not remove its records, which is useful when a worktree lives on removable or temporarily unmounted storage. - Pruning. If a worktree directory was deleted by hand,
git worktree pruneclears the stale records that remain in the repository. - Repair. If a worktree or the main repository was moved,
git worktree repairre-establishes the links between them.
If a worktree directory is removed with a plain file manager instead of git worktree remove, the repository keeps stale metadata until you run prune. Check git worktree list after any manual cleanup.
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Tools that add coordination on top
Git handles isolation, but it does not decide which agent works on which task or how a swarm reports progress. The tools below attempt that layer. Each description comes from the project’s own material, and none was independently tested for this article.
CodeTree
CodeTree is a Rust crate whose documentation describes a standalone version-control system with its own object store, refs, commits, and trees. Its history is exposed through an operation-centric model rather than Git’s commit-centric view. It is a useful example of an agent-oriented VCS, but it is not documented as the system named in this title.
Agent of Empires
Agent of Empires describes itself as a Rust and tmux-based session manager. Its documented options include optional branches, built-in worktrees, and optional container isolation for each session. The project presents these as features; the reviewed material includes no independent evaluation of them.
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Daintree’s project page describes running parallel agents across worktrees with orchestration features. As with the other entries, these are product claims rather than measured results.
Braid
Braid documents task claims across agent worktrees. The claim mechanism is the coordination piece that plain Git leaves to the operator: an agent marks a task as taken, so another agent does not start the same work.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Comparing the approaches
| Approach | Isolation model | Coordination | Cleanup and integration | Evidence available |
|---|---|---|---|---|
| Plain Git worktrees | Separate working trees and branches sharing one repository (Git documentation) | Not built in; handled by the operator | Built-in list, lock, remove, prune, repair commands |
Official Git documentation |
| CodeTree | Own object store, refs, commits, and trees (crate documentation) | Not stated in the documentation reviewed | Not stated in the documentation reviewed | Crate documentation only |
| Agent of Empires | Optional branches, built-in worktrees, optional container isolation (project description) | Session management under tmux (project description) | Not stated in the project description reviewed | Project’s own description |
| Daintree | Parallel agents across worktrees (project page) | Orchestration features (project page) | Not stated in the project page reviewed | Project’s own page |
| Braid | Agent worktrees (project documentation) | Task claims across agent worktrees | Not stated in the project documentation reviewed | Project documentation |
What is and is not established
- Established: how Git worktrees share history and separate working state, what Git’s safeguards do, and which features the tools above say they offer.
- Not established: independent tests of correctness, speed, or reliability for any of these tools in multi-agent use. No comparative benchmark was found, and no adoption figures are available.
- Unknown: the repository, authorship, design, and release status of a system matching this title.
A checklist for your own swarm layer
If you are building coordination around worktrees, these controls address the failure modes described earlier:
Quick Recap
- Give every agent a unique branch and a unique worktree path.
- Never let two agents run in the same worktree, even briefly.
- Record a task claim before an agent starts work, and release it when the branch is merged or abandoned.
- Run tests on each agent branch before it is merged into
main. - After each run, check
git worktree list, then prune or remove anything left behind.
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