adlass vs git worktrees per agent: an honest comparison
Quick verdict
If you are parallelizing coding agents on a git repository, give each one its own worktree; it is the right tool and you should keep it. But worktrees only isolate code and push conflicts to merge time, they do not give you shared live state across documents, datasets, or non-code work. For that you need a shared data layer. The honest answer is to use both: worktrees for code isolation, adlass for shared state.
Git worktrees and adlass are often weighed against each other for multi-agent work, but they solve different halves of the problem. A worktree per agent isolates each coding agent in its own working directory and branch so they do not collide while editing code. adlass is a shared data layer that gives agents and people one live source of truth across files, datasets, and documents, connected over MCP.
Feature comparison
| Git worktrees per agent | adlass shared data layer | |
|---|---|---|
| What it does | Isolate each agent on its own branch | One shared live source of truth |
| Scope | Code in a git repository | Files, datasets, docs, and state |
| Conflict model | Isolates, then merges at PR time | One canonical copy, tracked changes |
| Shared live state | No, each tree is private | Yes, everyone reads the same state |
| Non-code data | Not covered | First-class |
| Coordination | Manual merge and integration | Per-Space permissions and references |
| Best for | Parallel coding agents on one repo | Teams and agents sharing live data |
| Relationship | Complementary to adlass | Complementary to worktrees |
When git worktrees are the right choice
If your problem is running several coding agents on the same repository at once, worktrees are the correct, lightweight answer. Each agent gets an isolated checkout, so parallel edits do not step on each other while the work is in progress. Keep using them for that.
Where worktrees stop, and a shared layer starts
Worktrees only isolate, they do not share. They cover code in a git repo, not documents, datasets, or live shared state, and the conflict you avoided during editing reappears at merge time. When agents and people need one live source of truth they all read and write, isolation is not the answer, shared state is. That is what adlass provides over MCP.
Can you use both?
Yes, and you usually should. Let each coding agent work in its own worktree for code, and use adlass as the shared data layer for the documents, datasets, and state that live outside the repo. They cover different parts of a multi-agent setup and fit together cleanly.
Related guides
Frequently asked questions
- Are git worktrees enough for multiple coding agents?
- For isolating parallel edits on one repo, yes. But they push conflicts to merge time and only cover code. For shared live state across documents and datasets, you still need a shared data layer.
- Does adlass replace git worktrees?
- No. They are complementary. Worktrees isolate coding agents on branches; adlass holds shared live state across files, datasets, and docs. Use both together.
- Why do conflicts come back with worktrees?
- Because worktrees isolate edits but do not coordinate them. Two agents can change the same logic on separate branches, and the conflict surfaces when you merge. A shared source of truth avoids the divergence in the first place.
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