--- title: "Cork vs Devin: an autonomous engineer, or the layer that keeps your agents in sync · Cork" description: "Cork vs Devin: Devin is Cognition's autonomous AI engineer in cloud VMs. Cork keeps your own parallel AI coding agents from overwriting each other." canonical: "https://corkcli.com/blog/cork-vs-devin" last_updated: "2026-11-14" published: "2026-10-03" author: "Kevin Vera" --- # Cork vs Devin: an autonomous engineer, or the layer that keeps your agents in sync Cork vs Devin: Devin is Cognition's autonomous AI engineer in cloud VMs. Cork keeps your own parallel AI coding agents from overwriting each other. By Kevin Vera · October 3, 2026 · [Comparisons](https://corkcli.com/blog/c/comparisons) · 8 min read How is Cork different from Devin? Devin, from Cognition, is an autonomous AI software engineer: you hand it a task from the web app, Slack, Teams, Linear or Jira, and it works in its own virtual machine (or locally through the Devin CLI) until a pull request is ready. Cork is not an agent. It is a [coordination layer](https://corkcli.com/blog/coordination-layer-ai-coding-agents) for the agents you already run on your machine (Claude Code, Codex, Cursor), keeping them, and the people running them, from overwriting each other on one codebase and handing each agent what the others already learned. Put plainly: Devin is a teammate you delegate to; Cork keeps all your agents, and your people, from colliding. ## Cork vs Devin at a glance | Topic | Cork | Devin (as of October 2026) | |---|---|---| | What it is | Coordination layer for multiple AI coding agents | "Your team's autonomous software engineer," by Cognition | | Where agents run | Where they already run, on your machine | Cloud VMs (Linux, Windows, macOS), your own infrastructure via Devin Outposts, or locally via Devin CLI | | Agents covered | Claude Code, Codex, Cursor via hooks; any MCP client via MCP | Devin itself; other agents can hand tasks off to cloud Devin | | What is shared | Signatures, callers, recent changes, live edits, notes anchored to code | Knowledge, playbooks, skills, DeepWiki docs, session recordings | | Conflict handling | Write gate, live awareness and [semantic lint](https://corkcli.com/blog/semantic-lint) while agents edit | A coordinator Devin splits work into independent packages across isolated VMs and resolves conflicts when compiling results | | Output | Your agents' commits, landed with rebase and tests | Pull requests, with Devin Review and stacked PRs | | Install | `curl -fsSL https://corkcli.com/install.sh \| sh` | Web app; CLI via `curl -fsSL https://cli.devin.ai/install.sh \| bash` | | Pricing | Free (local, and 10 agent hours a month in the cloud); $20 a month per 100 agent hours, pooled | Free; Pro $20/mo; Max $200/mo; Teams $80/mo plus $40 per seat | ## What is Devin? Cognition describes Devin as "your team's autonomous software engineer" that "runs in the cloud or on your machine, tests in its own browser, and won't stop until the PR is ready to merge." Its documentation covers a broad product: - **Cloud sessions** in VMs with a shell, an IDE and a browser, and support for Windows and macOS VMs (including the iOS Simulator). - **Managed Devins:** a coordinator session can "break down large tasks and delegate them to a team of managed Devins working in parallel, each running in its own isolated VM," then monitor progress, resolve conflicts and compile results. - **Devin CLI**, a local terminal agent with a `/handoff` command to move a task to cloud Devin. The docs also describe handing off "from the Devin CLI, Claude Code, Codex, or any coding agent." - **Knowledge, playbooks and skills** that persist instructions across sessions, plus **DeepWiki** generated documentation and **Ask Devin** for codebase questions. - **Integrations** with Slack, Microsoft Teams, GitHub, GitLab, Bitbucket, Linear and Jira, plus automations, Devin Review and Security Swarm. - **MCP:** Devin can connect to external tools through MCP servers, including custom STDIO, SSE or HTTP servers. Customer logos on devin.ai include NVIDIA, Cloudflare, Citi and Mercedes, among others. ## 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 (https://mcp.corkcli.com) serves any MCP client. - **Briefing:** each agent gets the exact signatures, callers and recent changes of the code it is about to touch, so it searches less. - **Live awareness and a [write gate](https://corkcli.com/blog/write-gate):** another agent's rename or new signature reaches yours on its next step, and an edit against code someone is changing right now is held until your agent has their version. - **Semantic lint:** teammates' renames and signature changes become lint rules your agents are checked against. - **Landing:** `git push` rebases onto teammates' commits, reruns the tests and pushes in one step. - **Messaging and tools:** agents can message each other, and MCP tools include get_symbol, blast_radius, recap and remember/recall. ## Where Devin stands out - **True delegation.** Devin takes a ticket or a Slack thread and returns a tested pull request, with video recordings as proof. Cork does no work on its own. - **Its own machines.** Cloud VMs on Linux, Windows and macOS mean Devin can build and test things your laptop cannot, and Outposts can run sessions on your infrastructure. - **Large parallel jobs.** Managed Devins fan out migrations and bulk changes across many isolated sessions under one coordinator. - **Organizational memory.** Knowledge, playbooks, skills and DeepWiki let Devin reuse what it learned across sessions. - **Broad integrations** with source control, ticketing and chat tools. ## Where Cork wins - **It coordinates the agents your developers already use.** If your team runs multiple Claude Code agents, Codex and Cursor side by side, Cork keeps them aware of each other. Devin coordinates Devins. - **Live collision handling between people.** Devin's coordinator avoids conflicts by splitting work into independent packages inside one Devin task. Cork handles the messier case: different people's agents touching the same function at the same moment, with a write gate and live notice of renames and signature changes. - **Context at the moment of editing.** Briefings cut the searching agents do. 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. - **Local, private and cheap to start.** Cork Free runs on one machine with unlimited agents and repos, no account, and all data local. ## Can you use both? Yes. One workable split is to delegate well-scoped tickets to Devin while developers run [parallel AI coding agents](https://corkcli.com/blog/parallel-ai-coding-agents) locally on the harder, interactive work. Devin's output arrives as pull requests and commits, and Cork's Landing step rebases your agents' work onto those commits and reruns the tests before pushing. Devin's docs also describe handing tasks off from Claude Code or Codex to cloud Devin, so a Cork-coordinated agent can pass a task to Devin. Cork's automatic hooks do not run inside Devin's cloud VMs; Devin can connect custom HTTP MCP servers and Cork's MCP server is open to any MCP client, but we have not documented that setup. ## Pricing compared **Devin** (from devin.ai/pricing, as of October 2026): Free at $0 with a light quota. Pro is $20/month with frontier models and cloud agents. Max is $200/month with significantly higher quotas. Teams is $80/month base plus $40/month per developer seat, up to 200 users. Enterprise is custom, with SAML/OIDC SSO and a VPC deployment option. **Cork:** Cork Free is unlimited agents and repos on one machine, no account. Cloud Free is 10 agent hours a month per account (30 bonus hours the first month) with 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 and 90-day history. Enterprise starts from about 100 units. Devin's plans include the agent; Cork's cover coordination only, on top of what you pay for your agents. ## Bottom line Devin is the pick when you want to hand off whole tasks to an autonomous engineer with its own machines and get pull requests back. Cork is the pick when your developers already run several agents on the same repository and you need those agents to stop overwriting each other and start from current context. The two fit together: Devin works through pull requests, and Cork keeps the agents working alongside it in sync. ## Frequently asked questions ### Is Cork an alternative to Devin? No, not as an agent. Devin does the coding; Cork coordinates agents that do the coding. If you want a Devin alternative for delegating tasks, look at other agents. If you want parallel agents on one codebase to stop colliding, Cork addresses that. ### Does Devin stop agents from overwriting each other? Within a single Devin task, the coordinator splits work into independent packages, runs each in its own VM and resolves conflicts when combining results. It does not coordinate other vendors' agents or other people's local sessions. Cork does, with a write gate and live awareness. ### Can multiple Claude Code agents hand work to Devin? Devin's docs describe handing off a task from Claude Code, Codex or any coding agent to a cloud Devin session. Cork keeps those Claude Code agents coordinated with each other while they work. ### Does Cork provide cloud VMs like Devin? No. Cork does not provide cloud VMs, sandboxes, an editor or app previews, and it is not an agent itself. ## Sources Checked October 2026: - - - - - - - - ## Related reading - [Cork vs Warp: orchestrating agents in the cloud, or coordinating them on one codebase](https://corkcli.com/blog/cork-vs-warp): Cork vs Warp: Warp's Oz runs and orchestrates cloud coding agents at scale. Cork keeps parallel AI coding agents from overwriting each other's code. - [Cork vs qm: a team agent harness, or a coordination layer for coding agents](https://corkcli.com/blog/cork-vs-qm): Cork vs qm: YC's open source qm is a multiplayer agent harness for Slack and web. Cork keeps parallel AI coding agents from overwriting each other's code. - [Cork vs Cursor cloud agents: run agents in VMs, or keep them from colliding](https://corkcli.com/blog/cork-vs-cursor-cloud-agents): Cork vs Cursor cloud agents: Cursor runs agents in isolated cloud VMs that open PRs; Cork keeps parallel agents from overwriting shared code. - [Cork vs Mosaic: shared session memory, or live coordination on the code](https://corkcli.com/blog/cork-vs-mosaic): Cork vs Mosaic: Mosaic syncs AI coding sessions into shared team memory; Cork keeps parallel agents from overwriting each other. How they differ and fit. [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-devin