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Articles

Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses

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By Zhaochen Yu, Yingcheng Wu, Zhenfei Yin
| huggingface.co
Abstract Recuris introduces a recursive memory architecture that tracks progress and guides skill selection to improve long-horizon agent success through localized, validation-gated updates. Recursive self-improvement (RSI) remains hard in long-horizon tasks, where growing histories obscure the task state and misalign skill invocation.
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