New Paper Introduces Harness Continual Learning to Curb Agent Self-Update Forgetting

A new paper on Harness Continual Learning addresses how agents accumulate experience in their harness (prompts, memory, tools, routing) rather than weights. Rewriting these components can cause forgetting of existing capabilities, which the work aims to mitigate.

2026-08-21 ~ 2026-08-22 · 2 related posts

• Paper introduces "harness-level forgetting": agent prompt/memory updates can break reliable behavior — omarsar0 · 2026-08-21
• New paper proposes Harness Continual Learning to solve agent behavioral drift — rohanpaul_ai · 2026-08-22