Large enterprise with a big AI budget
Devin is expensive but can absorb backlog. Relevant when the average ticket costs more than an engineer's hour.
Comparison · verified August 2026
Devin works in your place. Tramya keeps you in command.
Cognition's Devin promises an autonomous engineer that runs tickets in the cloud. Tramya starts from the opposite premise: you stay the pilot, your tools (Claude Code, Codex, Cursor) stay on your machine, and so does the memory. Two opposing visions of AI for code.
Philosophy
Two opposing models.
| Aspect | Devin | Tramya |
|---|---|---|
| Where the code runs | Cognition cloud | Your machine |
| Who decides | The agent, autonomously | You, with the agent in support |
| Where your code goes | Sent to the cloud | Stays local |
| AI model | Imposed by Cognition | Your agent's own (Claude, GPT, Gemini) |
| Typical cost | High Cognition subscription | Free or 49–119 €/year |
| Recovery on failure | Restart the ticket | Replay with another agent |
| Traceability | Execution report | History browsable by project |
| Data compliance | Depends on Cognition | Under your control |
When Devin makes sense
Three profiles.
An established cloud comfort zone
If your code already lives at GitHub Actions, AWS, Vercel, sending a ticket to Devin is consistent.
Repetitive, well-specified tickets
Mechanical migrations, dependency updates: where autonomy doesn't do too much damage.
When Tramya makes sense
Three profiles.
Freelancer or small team
You drive. The AI suggests, you approve. Controlled cost, no enterprise subscription.
Strong confidentiality constraints
Client code, regulated code, sensitive IP: nothing should leave for a third-party execution cloud.
You want to compare models
Claude for this, Codex for that, Gemini for exploration: Tramya leaves the choice to you, Devin imposes it.
Frequently asked questions
Can you use both?
Technically yes: Devin for simple tickets, Tramya on your machine for everything else. Economically rarely worthwhile.
Does Devin have persistent project memory?
Each ticket is largely isolated. Continuity across tickets remains a weak spot of the autonomous model.
Can Tramya drive an autonomous agent?
No, that's not its purpose. Tramya assists a human who pilots one or several AI agents.
Staying in command
Take back the reins after Devin.
Devin runs tasks autonomously: you get back a result, rarely the full reasoning or a reusable thread. Tramya serves the opposite logic — keeping a legible, sovereign record of what was decided, on your own machine.
It indexes the sessions of your installed agents (Claude Code, Codex, Cursor…) by repo and branch, and generates a context capsule at each agent handoff, so that you — or a teammate — pick up exactly where the work left off. Local by default, encrypted Cloud sync optional for teams.