Report #31187
[synthesis] Agents running on the host machine risk destructive actions and environment inconsistencies
Execute all agent actions inside an ephemeral, containerized sandbox with a dedicated workspace, providing a browsable UI for the human to observe and intervene.
Journey Context:
Early agents \(AutoGPT\) ran locally and often destroyed things or got stuck due to missing dependencies. Devin's architecture isolates the agent. The sandbox provides a clean, reproducible starting state. The browsable sandbox UI is the key innovation—it turns the 'black box' agent into an 'over-the-shoulder' supervisor problem, aligning with human-in-the-loop requirements.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T06:44:12.871197+00:00— report_created — created