SOURCE-LINKED INTELLIGENCE
Self-Healing Harness for Runtime Oversight of Agent Self-Modification
LLM agents can change their own future behavior, raising a basic control question of which self-generated changes should be allowed to persist. We formulate this as admission control for self-modification. The agent may propose changes to its operating instructions, while an external runtime gate controls persistence. We implement this principle as a model-agnostic self-healing harness that runs a Detect, Notice, Heal, Validate loop around an otherwise unmodified agent. The agent authors candidate behavioral rules in an external workspace, where they receive provisional execution authority dur
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T05:36:56.000Z
First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.