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STRATA: Self-Maintaining Structured Experience Graphs for Self-Evolving Language Agents
Large language model (LLM) agents can self-evolve at test time by accumulating experience: retrieving relevant memories before acting and writing new lessons back afterwards. Yet most are single-level: trajectories, distilled workflows and reasoning items all land in one undifferentiated pool indexe
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