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Memento-Skills is a self-evolving agent framework where agents learn from failures and rewrite their own skills, improving over time through a Read-Execute-Reflect-Write loop. It was tested on HLE and GAIA benchmarks and supports open-source LLMs like Kimi, MiniMax, and GLM.