Both take a task and work it through to a change. The comparison is less about autonomy, which they share, than about where the agent runs and whose model it uses.
What they have in common
- An agent that takes a mission rather than completing a line: it explores, edits across files, runs commands and iterates.
- Terminal-class capability: the agent can execute the project's own tools, including its tests.
- Autonomy over long tasks, with the human pulled in at decision points rather than at every step.
- A vendored, first-party agent rather than a thin wrapper over a chat API.
Where the agents differ
| Where the agents differ | ORVYX | Claude Code |
|---|---|---|
| Model choice | ORVYX Code is designed to run on the model you choose, through the ORVYX gateway. | Claude Code is built first-party around Anthropic's models. |
| Execution boundary | The agent is designed to run on your infrastructure, under your contract. | Claude Code runs locally and connects to Anthropic's hosted models. |
| Ecosystem | The agent shares authentication, billing and logs with the rest of the ORVYX platform. | Claude Code sits within Anthropic's own product family. |
| Reversibility | Because the model stays swappable, the agent's behaviour can be re-pointed at a different engine. | The agent's behaviour is tied to the vendor's model line. |
- Model choice
A single-vendor agent is deeply tuned to its model; a model-agnostic agent keeps you able to move as the frontier changes.
- Execution boundary
Both keep the repository local in their default posture; the difference is where the model traffic and the operational control sit.
- Ecosystem
One vendor for the agent, the gateway and the knowledge layer reduces the number of contracts and identity models.
- Reversibility
Reversibility is an architectural property: it is cheap to keep and expensive to add later.
Which setup fits which constraint
- A team already standardised on Anthropic models
A first-party agent tuned to those models is a coherent choice, with no extra layer to run.
- A team that wants to move between models over time
A model-agnostic agent behind a gateway keeps the switch cheap, which is the whole point of the architecture.
- An organisation with a strict execution boundary
Decide from where the agent runs and where model traffic goes, then compare the ergonomics.
Competitor capabilities change quickly. This page compares documented architecture and delivery model; verify current specifics on the vendor's own documentation before deciding.
Run an autonomous agent on your terms.
Try one task with your model, on your infrastructure.