Self-Evolving Agent Harness
Harness self-evolution revises an agent's software scaffolding, including prompts, memory, workflows, and executable components, while keeping model weights fixed.
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Key points
- We formalize a feedback-driven process in which accepted revisions persist across runs.
- We characterize search through evolutionary optimization and examine its reliability through continual PAC-learning.
- We examine how persistent harness revisions affect knowledge sharing and organizational workflows, with implications for scientific reliability, physical safety, and institutional accountability.
- Cases from prior work illustrate model--harness co-design, distributed execution, and plugin reuse.
Sources (2)
- [1]Self-Evolving Agent HarnessarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 13, 05:48 PM
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.
- [2]Self-Evolving Agent HarnessHugging Face Daily Papers · Oct 13, 12:00 AM · same content
Extractive summary: sentences quoted from the sources.
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