--- title: "Cork vs git worktrees: separate folders, or agents that know about each other · Cork" description: "Cork vs git worktrees for parallel AI coding agents: worktrees isolate files while agents work, Cork coordinates them so the work still fits at merge." canonical: "https://corkcli.com/blog/cork-vs-git-worktrees" last_updated: "2026-11-14" published: "2026-10-03" author: "Kevin Vera" --- # Cork vs git worktrees: separate folders, or agents that know about each other Cork vs git worktrees for parallel AI coding agents: worktrees isolate files while agents work, Cork coordinates them so the work still fits at merge. By Kevin Vera · October 3, 2026 · [Comparisons](https://corkcli.com/blog/c/comparisons) · 7 min read How is Cork different from [git worktrees](https://corkcli.com/blog/git-worktrees-parallel-ai-coding-agents)? Git worktrees give each AI coding agent its own folder and branch, so parallel agents never write to the same files while they work. Cork lets agents share code safely, whether they sit in one checkout or many worktrees: it briefs each agent on the code it is about to touch, tells it when a teammate's change affects it, holds an edit that would land on code another agent is changing, and makes landing a rebase plus test run. Worktrees postpone the collision until merge; Cork is about the collision itself. They are not competitors, and many teams should use both. ## Cork vs git worktrees at a glance | Topic | Cork | Git worktrees (as of October 2026) | |---|---|---| | What it is | [Coordination layer](https://corkcli.com/blog/coordination-layer-ai-coding-agents) for many coding agents and the people running them | A core git feature: "multiple working trees attached to the same repository" | | Where agents run | Wherever they already run; Cork does not run agents | Each agent runs in its own directory and branch | | Agents covered | Claude Code, Codex, Cursor, plus any MCP client | Any tool, since it is plain git; Claude Code has built-in `--worktree` support | | What is shared | Signatures, callers, recent changes, live change notices, notes anchored to code | Repository history and remote; nothing about what other agents are doing | | Conflict handling | Write gate during edits, [semantic lint](https://corkcli.com/blog/semantic-lint) after renames, rebase plus tests at landing | Prevents same-file writes while working; conflicts surface at merge | | Setup cost | One install command per machine | Per worktree: a fresh checkout, so dependencies and env files are set up again | | Open source | Cork Free runs locally with no account; see corkcli.com for licensing | Part of git, which is open source | | Pricing | Free (local, and 10 agent hours a month in the cloud); $20 a month per 100 agent hours, pooled | Free | ## What are git worktrees? The git docs describe `git worktree` as a way to "manage multiple working trees attached to the same repository," allowing you "to check out more than one branch at a time." By default git refuses to check out a branch that another worktree already has checked out. Worktrees have become the default way to run [parallel AI coding agents](https://corkcli.com/blog/parallel-ai-coding-agents). Claude Code's docs say: "Running each Claude Code session in its own worktree means edits in one session never touch files in another." `claude --worktree feature-auth` creates a worktree under `.claude/worktrees/` on a new branch, subagents can run in their own worktree with `isolation: worktree`, and a `.worktreeinclude` file copies gitignored files like `.env` into each new worktree. Claude Code even blocks edits from an isolated session that target the main checkout. Worktrees do have costs. Claude Code's docs note "A worktree is a fresh checkout, so initialize your development environment there." [GitButler](https://corkcli.com/blog/cork-vs-gitbutler)'s founder put the other cost bluntly: with worktrees "you need to bootstrap each of the worktrees (`npm install`, build artifacts, etc) and worse than that, now you have created the fun new ability to create merge conflicts with *yourself*." And worktrees isolate files, not knowledge: an agent in one worktree has no idea another agent just renamed the function it calls. Claude Code points to cross-session messaging for that gap, where Claude can choose to tell other sessions "what landed." ## What is Cork? Cork (corkcli.com, by Lithometric) keeps several AI coding agents, and the people running them, from overwriting each other on one codebase, and hands each agent what the others already learned. It does not run agents or host machines. Hooks in Claude Code, Codex and Cursor run the protocol with no extra model calls, and an MCP server at https://mcp.corkcli.com works with any MCP client. - **Briefing:** each agent is handed the exact signatures, callers and recent changes of the code it is about to touch. - **Live awareness:** when another agent changes code yours depends on (a rename, a new signature), your agent hears it on its next step. - **[Write gate](https://corkcli.com/blog/write-gate):** an edit against code another agent is changing right now is held until your agent has their version. - **Semantic lint:** a teammate's rename or signature change becomes a lint rule your agents are checked against. - **Landing:** `git push` becomes one step that rebases onto teammates' commits, reruns the tests and pushes. - **Agent messaging, plus MCP tools** like get_symbol, blast_radius, recap and remember/recall. ## Where git worktrees stand out - **Hard file isolation.** Two agents physically cannot overwrite each other's uncommitted files. That is the strongest isolation available during the edit itself. - **Separate runtimes.** Each worktree can run its own dev server, build output and checkout state, which matters for competing attempts at the same task. - **Free and universal.** It is plain git, works with every agent and editor, and needs no account or service. - **First-class in Claude Code.** `--worktree`, subagent isolation, automatic cleanup of clean worktrees and branching from a pull request are built in. ## Where Cork wins - **Merge time, not just edit time.** Worktrees move the conflict to the merge. Cork's live awareness and semantic lint catch a teammate's rename while your agent is still working, and landing rebases and reruns tests before pushing. - **Agents arrive informed.** A worktree is a blank checkout plus whatever the agent reads. Cork's briefing hands it the signatures, callers and recent changes of the code it is about to touch. - **One checkout is fine too.** If bootstrapping a worktree per agent is too slow, Cork's write gate lets agents share a checkout without silently overwriting each other. - **Across tools and people.** Cork covers Claude Code, Codex and Cursor, and on the paid plan, agents on teammates' machines. Worktrees know nothing about anyone else's machine. ## Can you use both? Yes. Worktrees and Cork solve different halves of the problem. Keep worktrees when agents need separate runtimes or competing attempts, and run Cork so those agents still hear about each other's renames and signature changes, can message whoever is working on a function, and land through a rebase plus test run instead of a surprise merge conflict. If worktree setup cost is the pain, Cork also makes a shared checkout a reasonable choice. ## Pricing compared Git worktrees are free, as part of git. Cork Free runs locally with unlimited agents and repos on one machine, no account, and all data on the machine. Cloud Free gives each account 10 agent hours a month (30 bonus hours the first month), unlimited repos and agents, and a 30-day history window. Beyond that you pay for agent hours, not seats: $20 a month per unit of 100 hours, pooled across the workspace, graduated to $17 (units 11 to 50) and $15 (51 and up), with 15% off a year. Every member is a player, with teammates' machines, prompt matching by meaning, shared knowledge and 90-day history. Enterprise starts from about 100 units. In Cork's benchmark (12 Claude Code agents at once on one repository, hard tasks), agents with Cork used 53% fewer tokens than the same agents without it. ## Bottom line Git worktrees are the right tool for isolating files and runtimes, and they cost nothing. They do not tell agents what other agents are doing, so parallel work still collides when it merges. Cork is the coordination layer that closes that gap, and it works in worktrees or in a single shared checkout. ## Frequently asked questions ### Is Cork an alternative to git worktrees? Partly. If you use worktrees only to stop agents overwriting each other in one folder, Cork's write gate lets them share a checkout instead. If you need separate runtimes, keep worktrees and add Cork on top. ### Do git worktrees prevent merge conflicts between AI agents? No. They prevent agents from overwriting each other's files while working. Conflicts, including semantic ones like a renamed function, still appear when the branches merge. ### How do I run multiple Claude Code agents in parallel? The common pattern is one worktree per session (`claude --worktree `) or subagents with `isolation: worktree`. Adding Cork gives every session a briefing on the code it touches and live notice of teammates' changes. ### Do worktrees work with Codex and Cursor? Worktrees are plain git, so any tool can run inside one. Cork's hooks also cover Claude Code, Codex and Cursor in the same repository. ### What does Cork do at merge time? Cork's landing step turns `git push` into one step that rebases onto teammates' commits, reruns the tests and pushes. ## Sources Checked October 2026: - - - - - - - ## Related reading - [Cork vs Crystal: parallel sessions in worktrees, or agents that know about each other](https://corkcli.com/blog/cork-vs-crystal): Cork vs Crystal: Crystal ran parallel Claude Code and Codex sessions in worktrees and is now deprecated. Cork coordinates parallel agents on shared code. - [Cork vs Superset: worktrees separate files, Cork prevents the clash](https://corkcli.com/blog/cork-vs-superset): Cork vs Superset: Superset runs many coding agents in parallel worktrees; Cork coordinates those agents so their changes do not collide on merge. - [Coordination layer for AI coding agents: what it is and what it does](https://corkcli.com/blog/coordination-layer-ai-coding-agents): A coordination layer for AI coding agents sits under the tools that run agents and keeps parallel agents aware of each other's changes so the work fits. - [Cork vs Xirp: run many agents, or keep many agents from colliding](https://corkcli.com/blog/cork-vs-xirp): Cork vs Xirp: Spotify's Xirp runs parallel coding agent sessions in worktrees on macOS. Cork coordinates those agents so they stop overwriting each other. 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