--- title: "Cork vs GitButler: sorting agents' changes, or keeping agents from colliding · Cork" description: "Cork vs GitButler for parallel AI coding agents: GitButler sorts each agent's work into branches, Cork keeps agents from overwriting each other's code." canonical: "https://corkcli.com/blog/cork-vs-gitbutler" last_updated: "2026-11-14" published: "2026-10-03" author: "Kevin Vera" --- # Cork vs GitButler: sorting agents' changes, or keeping agents from colliding Cork vs GitButler for parallel AI coding agents: GitButler sorts each agent's work into branches, Cork keeps agents from overwriting each other's code. By Kevin Vera · October 3, 2026 · [Comparisons](https://corkcli.com/blog/c/comparisons) · 7 min read How is Cork different from GitButler? GitButler is a Git client, desktop and CLI, that lets several coding agents work in one directory while it sorts each agent's changes onto its own branch and gives agents simple commands for commits, stacks and history edits. Cork does not manage branches at all: it is a [coordination layer](https://corkcli.com/blog/coordination-layer-ai-coding-agents) that tells each agent what the others are changing, holds an edit that would land on code another agent is editing right now, and briefs every agent on the code it is about to touch. Put simply, GitButler organizes what agents produced; Cork coordinates agents while they produce it. The two fit together well. ## Cork vs GitButler at a glance | Topic | Cork | GitButler (as of October 2026) | |---|---|---| | What it is | Coordination layer for many coding agents and the people running them | Git-backed version control client with parallel and stacked branches, desktop app and `but` CLI | | Where agents run | Wherever they already run; Cork does not run agents | In your local repository; GitButler gives them version-control commands | | Agents covered | Claude Code, Codex, Cursor, plus any MCP client | Skill installs for Codex, Claude Code, Cursor, GitHub Copilot, Windsurf / [Devin](https://corkcli.com/blog/cork-vs-devin), OpenCode and Agent Skills | | What is shared | Signatures, callers, recent changes, live change notices, notes anchored to code | One working directory, with each session's commits on its own branch | | Same-file overlap | Write gate holds the edit; [semantic lint](https://corkcli.com/blog/semantic-lint) after renames | Docs: "If two sessions touch the same file or generated output, have the agents call out the overlap before committing" | | Install | `curl -fsSL https://corkcli.com/install.sh \| sh` | `curl -fsSL https://gitbutler.com/install.sh \| sh`, then `but agent setup` | | Open source | Cork Free runs locally with no account | Fair Source (FSL-1.1-MIT) on GitHub, about 21.8k stars | | Pricing | Free (local, and 10 agent hours a month in the cloud); $20 a month per 100 agent hours, pooled | We could not verify published pricing | ## What is GitButler? GitButler describes itself as "a new Source Code Management system designed to manage branches, record and backup your work," with a desktop client and a CLI. Its core idea is parallel branches: several active branches in one working directory, plus stacked branches, an operations log you can restore from, and direct commands for amending, squashing, splitting and moving changes between commits. The repository is on GitHub under a Fair Source license that converts to MIT after two years. For coding agents, GitButler's docs say: "Use GitButler with coding agents when you want messy local changes to become reviewable branches and commits without moving every task into a separate worktree." `but agent setup` installs a GitButler skill and instructions so agents use `but` instead of raw git. Parallel agents then share one directory: "The agent uses GitButler to commit the changes for its task to its GitButler branch." GitButler publishes its own benchmark at vcbench.dev, reporting that agents "used about 80% fewer commands and finished around 60% faster than with plain Git, at similar reliability." GitButler is honest about the limits. "Parallel GitButler branches are not runtime isolation. The agents share one filesystem, dependency install, generated files, and app state." When agents overlap, the guidance is to "decide whether to keep the work parallel, stack one branch on the other, or use separate worktrees." ## 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, 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 and MCP tools:** message whoever is working on a function; get_symbol, blast_radius, recap, remember/recall. ## Where GitButler stands out - **No worktree overhead.** Parallel agents share one install and dev server, and each session's work still lands on its own branch. - **Clean history from messy sessions.** Agents can commit selected hunks, stack dependent branches, and move, split or reword commits with direct commands instead of interactive rebases. - **Undo for everything.** The operations log lets you restore an earlier GitButler state when an agent's branch layout goes wrong. - **A great human client.** The desktop app gives you a visual view of the same branches the agents work on. - **Broad agent support.** The setup wizard installs skills for seven agent families. ## Where Cork wins - **Prevention, not sorting.** GitButler assigns changes to branches and asks agents to "call out the overlap." Cork's write gate holds an edit against code another agent is changing until your agent has their version. - **Meaning, not just files.** A teammate's rename or new signature reaches your agent on its next step and becomes a lint rule, even if the two agents never touched the same file. - **Informed from the start.** Every agent receives a briefing on the code it is about to touch, so it searches less. - **Beyond one working directory.** On the paid plan, agents on teammates' machines see each other. GitButler's parallel agents share one local workspace. ## Can you use both? Yes. They work at different layers. GitButler decides which branch and commit each agent's changes go to; Cork decides whether an edit is safe to make right now and tells agents what the others changed. Running agents in a GitButler workspace with Cork's hooks gives you GitButler's tidy branches plus a gate on the shared-file overlap that GitButler leaves to the agents. Cork's landing step and GitButler's own push and PR commands overlap, so pick one for publishing. ## Pricing compared GitButler's repository is under a Fair Source license. We could not verify published pricing for GitButler as of October 2026. 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. 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 GitButler is a strong answer to "how do I turn several agents' changes in one directory into clean, reviewable branches?" It does not stop two agents from editing the same code at the same time, and it says so. Cork is the coordination layer that does, and it runs alongside GitButler rather than instead of it. ## Frequently asked questions ### Is Cork an alternative to GitButler? Not a direct one. GitButler is a Git client that organizes branches and commits. Cork does not manage branches; it coordinates agents so they do not overwrite each other. Many teams could run both. ### Does GitButler stop agents from overwriting each other? GitButler assigns each session's changes to its own branch, but its docs say parallel branches "are not runtime isolation" and advise agents to call out overlaps before committing. Cork's write gate holds an edit against code another agent is changing. ### Can I run multiple Claude Code agents with GitButler? Yes. Run `but agent setup` to install the GitButler skill for Claude Code, then start several sessions in the same repository. Each commits to its own GitButler branch. ### Is GitButler better than git worktrees for parallel AI coding agents? GitButler's docs suggest worktrees for incompatible checkout states, separate runtimes or competing attempts, and GitButler parallel branches for independent tasks that can share one workspace. Cork works with either. ### Is GitButler open source? Its GitHub repository uses a Fair Source license (FSL-1.1-MIT), which becomes MIT after two years. ## Sources Checked October 2026: - - - - - - - - ## Related reading - [Cork vs Multica: assigning agent work vs keeping it from colliding](https://corkcli.com/blog/cork-vs-multica): Cork vs Multica: Multica assigns issues to AI coding agents on a shared board. Cork keeps parallel agents from overwriting each other's code. - [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. - [Cork vs Amika: VMs for your agents, or coordination between them](https://corkcli.com/blog/cork-vs-amika): Cork vs Amika: Amika provisions multiplayer VM Rigs for coding agents. Cork keeps parallel agents on one codebase from overwriting each other. - [Cork vs Factory: a coordination layer, not another agent platform](https://corkcli.com/blog/cork-vs-factory): Cork vs Factory: Factory's Droids plan, build and ship code across your SDLC. Cork keeps parallel AI coding agents from overwriting each other's work. 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