Helios runs autonomous research loops over SSH

This feels more like an experiment operator than a generic AI assistant, and that is exactly why it’s interesting. Helios is trying to close the loop between planning, execution, monitoring, and comparison on real machines, not just in a toy local demo.

• –SSH-first execution means it can use remote GPU boxes and multiple machines without forcing everything through a single laptop session
• –Metric parsing and `compare_runs` turn it into a numbers-first research loop, which is much more useful than “agent vibes”
• –Memory checkpointing is the feature that makes long-running experiments believable once context starts to fill up
• –The repo’s own warning about missing permissions/security controls is a real caveat; this is powerful enough that isolation matters
• –Compared with broader research agents, Helios is more about controlling compute and iterating on experiments than just gathering web sources