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Honest comparison

Devin vs Orkas:
a hosted AI software engineer, or an open-source agent team on your machine.

If the job is deep autonomous work inside one repository, Devin is built for exactly that and Orkas will not match its depth. If the work spans code and everything around it — release notes, demo videos, client reports — and the files live on your machine, that is where Orkas fits.

Side by side

Devin vs Orkas, capability by capability

No cherry-picking — where Devin leads, the table says so.

CapabilityOrkasThis siteDevinHosted AI engineer
What it is forA general agent team — code is one job of manyAutonomous software engineering
Depth on pure codingThrough agents and external coding CLIsNative and purpose-built for it
Keeps working after you close the laptopNo — it is a desktop appYes, the run continues in the cloud
Execution environmentYour own machine and installed toolsShips its own shell, editor and browser
Source codeOpen source (MIT), fully auditableClosed
Files already on your machineReads and writes your own folders directlyWork goes through a repository
Scope of workCode, video, documents, images, SEO, reportsSoftware engineering
Cost of the tool itselfFree; managed official models or your own providerSubscription

Four rows go to Devin and four to Orkas. If the job is deep autonomous work inside one repository, Devin is built for exactly that and Orkas will not match its depth. The rows Orkas wins are about breadth and ownership — work beyond code, on files that stay on your machine.

When to choose which

Pick by the shape of the work, not by a winner

Choose Orkas if…

  • The work spans more than code — content, images, documents, reports
  • The files live on your machine and should stay there
  • You want to read the source and use your own model keys
  • You would rather not pay a subscription for the tool

Stay with Devin if…

  • The job is deep autonomous engineering inside one repository
  • It has to keep running for hours without you
  • You do not want to set up a local environment at all
  • A managed sandbox matters more to you than owning the stack

You probably should not pick oneUse each tool for the job it is built for, and pass the resulting files into Orkas when you need a coordinated, reviewable deliverable.

Using both

The common setup is not either-or

Devin and Orkas do not overlap as much as the comparison suggests.

1

Leave the deep repository work where it is. If Devin is already handling autonomous refactors, that keeps working.

2

Move the work that is not code — release notes, demo videos, listing images, client reports, competitive research.

3

Point Orkas at the folder where those files already sit. It shows you the first few results before doing the rest.

FAQ

Devin and Orkas — your questions

Is Orkas an open-source alternative to Devin?

It is open source and MIT licensed, but it is not a like-for-like swap. Devin is a hosted AI software engineer; Orkas is a general agent team that runs on your machine, where coding is one job among several.

Can Orkas write code the way Devin does?

For deep autonomous work inside one repository, Devin is purpose-built and goes further. Orkas handles coding through its agents and by orchestrating external coding CLIs, which suits smaller changes and work that spans beyond the repo.

Is there a free alternative to Devin?

Orkas itself is free and MIT licensed. Model usage is separate: use managed official models, or connect your own provider — own-provider calls go direct and are billed by that provider.

Where does my code go?

Orkas runs on your machine and works on your local folders. With your own provider key, model calls go directly to that provider rather than through Orkas.

More comparisons

See how Orkas compares with other tools

An open-source agent team, on your own machine

Free, MIT licensed, and it works on the files already sitting on your machine.