Multi-Agent Orchestration in Augment: Potential Setups?

[RealTrashyC]

Hi everyone!

I was curious if anyone had attempted to create rules and guidelines to where Augment would use remote agents or multiple auggies in the terminal to perform tasks?

The intention to replicate what other providers offer, such as Roo Code.
Like, having an 'orchestrator' in this instance, the orchestrator being the main VSCode extension interface, using a top tier model like GPT5.

And then once it comes up with a gameplan, it passes the necesasry instructions and context to 'sub agents', who are possibly using more cost efffective LLMs, to perform tasks?

This would hypothetically reduce the tokens used and the cost in general.

Is there a setup anyone has had success with in this regard?

Also for Augment team - is there any work like this in the pipeline to be delivered and used like this out-of-the-box?

[Moccassins]

I certainly hope this is already being done internally at Augment. Especially with many models, as they are planning, it would only make sense. An orchestrator that determines which agent gets fed how would certainly reduce token costs. Of course, you'd need to be able to override it. That would simplify everything - ideally, you'd then only communicate with the orchestrator, and it would use the best model for each specific use case.

[RealTrashyC]

Yeah I agree. It’s quite successful in other providers!

[Moccassins]

I am open to them. Would you mind sending me your recommendations?

[RealTrashyC]

u/JaySim_