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Memory Management and Contextual Consistency for Long-Running Low-Code Agents

Computer Science

Memory Management and Contextual Consistency for Long-Running Low-Code Agents

J. Xu

Discover how a hybrid episodic–semantic memory with an Intelligent Decay mechanism keeps AI-native low-code/no-code agents consistent over long tasks by pruning or consolidating memories based on recency, relevance, and user utility. A user-friendly interface lets non-technical users tag facts to retain or forget, and simulations show gains in task completion, contextual consistency, and token-cost efficiency. Research conducted by Jiexi Xu.... show more
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