--- title: "Cork vs Cursor cloud agents: run agents in VMs, or keep them from colliding · Cork" description: "Cork vs Cursor cloud agents: Cursor runs agents in isolated cloud VMs that open PRs; Cork keeps parallel agents from overwriting shared code." canonical: "https://corkcli.com/blog/cork-vs-cursor-cloud-agents" last_updated: "2026-11-14" published: "2026-10-03" author: "Kevin Vera" --- # Cork vs Cursor cloud agents: run agents in VMs, or keep them from colliding Cork vs Cursor cloud agents: Cursor runs agents in isolated cloud VMs that open PRs; Cork keeps parallel agents from overwriting shared code. By Kevin Vera · October 3, 2026 · [Comparisons](https://corkcli.com/blog/c/comparisons) · 7 min read How is Cork different from Cursor cloud agents? Cursor cloud agents (formerly called background agents) run Cursor's agent in isolated cloud VMs, each on its own branch, and push changes back for you to review. Cork does not run agents: it coordinates the agents you already run (Claude Code, Codex and Cursor) so that several of them, and the people behind them, do not overwrite each other on one codebase. The short version: Cursor gives you more agents in more places, Cork makes many agents aware of each other while they write. ## Cork vs Cursor cloud agents at a glance | Topic | Cork | Cursor cloud agents (as of October 2026) | | --- | --- | --- | | What it is | [Coordination layer](https://corkcli.com/blog/coordination-layer-ai-coding-agents) for multiple AI coding agents and teammates on one codebase | Cursor's agent running in isolated cloud VMs with full development environments | | Where agents run | Wherever they already run, on your machine | VMs hosted by Cursor, or self-hosted workers in your environment | | Agents covered | Claude Code, Codex and Cursor via hooks, plus any MCP client | Cursor's agent | | How work starts | Normal agent prompts; hooks brief the agent automatically | Cursor Desktop, cursor.com/agents, iOS app, Slack, GitHub or Bitbucket comments, Linear, API | | What is shared | Signatures, callers, recent changes, notes and messages between live agents | Branches and pull requests | | Conflict handling | Write gate, live awareness, [semantic lint](https://corkcli.com/blog/semantic-lint), rebase-and-test landing | Each agent works on a separate branch; conflicts surface at merge | | Install | `curl -fsSL https://corkcli.com/install.sh \| sh` | Built into Cursor; connect a repo host | | Pricing | Free (local, and 10 agent hours a month in the cloud); $20 a month per 100 agent hours, pooled | Included in Individual ($20/mo) and Teams ($40/user/mo); runs billed at API pricing for the selected model | ## What is Cursor cloud agents? Cursor's documentation describes cloud agents as agents that "run in isolated VMs in the cloud with full development environments instead of on your local machine." An environment includes cloned repositories, installed dependencies, secrets, startup commands and network access, and multi-repo environments let one agent change separate frontend, backend or library repos together. Agents "clone your repo from GitHub, GitLab, Azure DevOps Services, or Bitbucket Cloud and work on a separate branch, then push changes to your repo for handoff," and can open pull requests. Cursor says "you can run as many agents as you want in parallel, and they do not require your local machine to be connected to the internet." You can launch them from Cursor Desktop, cursor.com/agents, the iOS app, Slack, GitHub or Bitbucket comments, Linear or the API. Since March 25, 2026, self-hosted cloud agents are generally available for organizations that need code and tool execution to stay in their own environment. ## 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 do the protocol with no extra model calls, and an MCP server (https://mcp.corkcli.com) serves any MCP client. - **Briefing**: the exact signatures, callers and recent changes of the code an agent is about to touch, delivered at start and with each prompt. - **Live awareness**: a rename or new signature from another agent reaches yours 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**: teammates' renames and signature changes become lint rules. - **Landing**: `git push` rebases onto teammates' commits, reruns tests and pushes in one step. - **Agent messaging**, a live code graph and team dashboard (cloud plans), and MCP tools like get_symbol, blast_radius, recap and remember/recall. ## Where Cursor cloud agents stand out - **Scale without your laptop.** Run as many agents as you want in parallel, in full VMs, with your machine offline. - **Start work from anywhere.** Slack, Linear, GitHub and Bitbucket comments, the web, iOS and an API all launch agents. - **Real environments.** Agents can build, test and use the software they change, with secrets and dependencies configured per environment. - **Multi-repo tasks.** One agent can make coordinated changes across several repositories and open PRs in each. - **Self-hosting option.** Regulated teams can keep code and execution inside their own network. ## Where Cork wins - **Agents that know about each other.** Cloud agents are isolated per VM and branch. Cork tells each agent what the others are changing right now, so [parallel AI coding agents](https://corkcli.com/blog/parallel-ai-coding-agents) stop duplicating and undoing work. - **Conflicts caught while writing.** The write gate and semantic lint stop agent merge conflicts and broken callers before they reach a PR, instead of at merge review. - **Mixed fleets.** Cork coordinates Claude Code, Codex and Cursor in the same repo; a team does not have to standardize on one agent. - **Fewer tokens spent searching.** 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. ## Can you use both? Yes. Cork's hooks work with Cursor on your machine, so your local Cursor agents, alongside any Claude Code or Codex agents, can share briefings and be gated against each other. Cursor cloud agents run in Cursor's (or your self-hosted) VMs, and we do not claim Cork runs inside those. The useful split: hand independent, well-scoped tasks to cloud agents, and keep the work on shared, busy code (interfaces, renames, cross-cutting refactors) on local agents under Cork. When cloud agents' branches come back, Cork's landing step rebases your local work onto them and reruns tests before pushing. Isolated branches still meet at merge time; that is the gap Cork closes. ## Pricing compared Cursor lists Hobby (free, limited agent requests), Individual at $20/month with cloud agents, Teams at $40/user/month with "cloud agents and automations with shared team context", and custom Enterprise pricing. Cursor's docs say cloud agents are "charged at API pricing for the selected model," and a larger context window can raise usage and cost. Cork Free runs unlimited agents and repos on one machine with no account, with 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-to-code matching by meaning, shared knowledge and 90-day history. Enterprise starts from about 100 units. ## Bottom line Cursor cloud agents are a strong way to run many Cursor agents in real cloud environments and get pull requests back. They are not designed to make simultaneous agents aware of each other's edits. Cork is the coordination layer that does that, across Cursor, Claude Code and Codex, and it starts free on one machine. If your agents keep stepping on each other, add Cork; if you need more machines, add cloud agents. ## Frequently asked questions ### Is Cork an alternative to Cursor background agents? Only partly. Cursor background agents (now cloud agents) host and run agents for you; Cork does not host anything. Cork is the alternative if your real problem is multiple agents overwriting each other on the same code. ### Do Cursor cloud agents stop agents from overwriting each other? Each cloud agent works on its own branch in its own VM, so agents do not write into the same working copy. Their changes can still conflict when branches merge. ### Does Cork work with Cursor? Yes. Cork installs hooks for Cursor, Claude Code and Codex on your machine. We do not claim support inside Cursor-hosted cloud VMs. ### Can I run parallel AI coding agents on one repo without merge conflicts? You can reduce them a lot. Cork briefs each agent on what others are changing, holds edits against code another agent is mid-change on, and rebases and reruns tests when you push. ### How does Cork pricing compare to Cursor? Cursor cloud agents come with Individual and Teams plans and are billed at model API pricing. Cork is free on one machine; in the cloud it bills agent hours, $20 a month per 100, pooled across the workspace. ## Sources Checked October 2026: - - - - ## Related reading - [Cork vs Hoplite: cloud agents vs coordinating the agents you have](https://corkcli.com/blog/cork-vs-hoplite): Cork vs Hoplite: Hoplite runs coding agents in isolated cloud environments that open PRs. Cork keeps your local parallel agents from colliding. - [Cork vs Sculptor: an app for parallel agents, or a layer that keeps them from colliding](https://corkcli.com/blog/cork-vs-sculptor): Cork vs Sculptor: Imbue's Sculptor runs coding agents in parallel in isolated workspaces. Cork coordinates parallel agents and teammates on shared code. - [Cork vs Emdash: an agent workbench vs a coordination layer](https://corkcli.com/blog/cork-vs-emdash): Cork vs Emdash: Emdash is an open-source app that runs coding agents in parallel worktrees; Cork keeps those agents from colliding on shared code. - [Cork vs OpenAI Codex cloud: delegate tasks to containers, or coordinate the agents you run](https://corkcli.com/blog/cork-vs-openai-codex-cloud): Cork vs OpenAI Codex cloud: Codex runs coding tasks in isolated cloud containers; Cork keeps parallel agents and teammates from overwriting the same code. [All articles](https://corkcli.com/blog.md) · [Cork in Markdown](https://corkcli.com/index.md) · [llms.txt](https://corkcli.com/llms.txt) This page in HTML: https://corkcli.com/blog/cork-vs-cursor-cloud-agents