Exo Agent Runtime Enables In-Harness Self-Editing During Task Execution
The shift from offline harness optimization to runtime self-editing could reduce the dataset and compute burden that makes agent tuning expensive. Builders of long-running agents can inspect Exo's approach for keeping edits auditable through a protected execution-history layer. Compared with offline loop tuning, it trades a small architecture change for continuous adaptation on live tasks.
