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Self-Evolving Agent Harness

Paper recorded by Signals 4 on 2026-10-13 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-13 on arXiv · recorded by Signals 4 on 2026-10-14

Category: cs.AI · 人工智能 · first seen 2026-10-14

Abstract

Harness self-evolution revises an agent's software scaffolding, including prompts, memory, workflows, and executable components, while keeping model weights fixed. We formalize a feedback-driven process in which accepted revisions persist across runs. The framework separates update targets from proposal and admission mechanisms. It distinguishes changes to interpreted state from revisions to tools

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#335 most recent of 960 cs.AI papers we have recorded · ↑ newer: Back-Translation Still Matters: Leveraging Monolingual Data for Low-Re · ↓ older: Optimizing Team Behavior via Extremum-seeking Control in Multi-agent R
Cite this page: Self-Evolving Agent Harness: the #335 most recent of 960 cs.AI papers we have recorded (as of 2026-10-13). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/self-evolving-agent-harness.html
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