Self-Evolving Agent Harness for Fixed-Weight Model Optimization
October 12, 2026
This framework enables agents to iteratively revise their own software scaffolding, including prompts, workflows, and executable code, without updating model weights. It utilizes a feedback-driven process that separates proposal and admission mechanisms to ensure stable, persistent improvements across runs.
HOW THIS AFFECTS YOU
●
builderYou can build agents that autonomously improve their own toolsets and logic flows.
●
researcherYou can study the convergence and reliability of evolutionary optimization in agentic workflows.