Memento 3 Enables Continuous Learning via Reflective Rulebooks
October 7, 2026
Memento 3 allows frozen LLM agents to build explicit world models using a natural-language rulebook as persistent semantic memory. The agent undergoes a loop of observation, reflection, and rule revision, compiling hypotheses into executable code for better environment planning.
HOW THIS AFFECTS YOU
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builderYou can build agents that adapt to new environment dynamics without continuous fine-tuning.
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researcherThis approach explores the intersection of symbolic rulebooks and neural planning for continuous learning.