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Self-Evolving Agent Harness

201 upvotes · 13 OCT 2026 · Chuyang Wei, Haoxiang Guan, Minghang Zhu et al.

This paper proposes a framework for self-evolving agents that can adapt to changing environments by modifying their software scaffolding without changing their model weights. This approach has implications for reliability, accountability, and knowledge sharing in various domains, including scientific research and organizational workflows.

continual learningself-evolving agentsreinforcement learningagent designorganizational workflows