Recursive Self-Improvement and Agent Memory

Recuris and Meta^n continue to provide empirical evidence that recursive memory and meta-operations can improve frontier-model reasoning and ARC-AGI-2 performance. WikiSkill strengthens the case for persistent, transferable knowledge, while harness-aware training and generated harnesses make the agent scaffold itself an object of optimization.