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Episodic Memory Agent

A Sensor-Agnostic Cognitive Architecture for Event-Segmented Memory Formation

A modular cognitive agent framework that models how experience becomes memory.

An event-segmented episodic memory agent designed to simulate how an intelligent system perceives, interprets, and organizes experience over time. The architecture centers on a strict cognitive loop—resolving location, identifying entities, detecting change—and freezing those moments into structured episodes. Built with swappable modules, strict invariants, and full logging, the system prioritizes learning over hardcoded assumptions, user-defined semantics over predefined categories, and reproducible behavior over opaque heuristics.

Project Details

Active (Development)
StartedJan 2026
Last UpdatedFeb 2026

Category

AI Model

Domain

Technology

Tags

PythonMachine Learning