AI Agent AI-Powered Dealer Training Optimizer Active

Memory Manager Agent

Manages short-term and long-term memory banks with importance scoring and relevance-based retrieval. Performs memory consolidation to prevent context window overflow.

View Core Logic Back to Worker

Parent Worker AI-Powered Dealer Training Optimizer

Agent ID

memory-manager-agent

Portal Nexgile-AudiSense Nexus

Sector Customer Service, Partner Management & Enterprise Operations

Status

Operational

Problem Statement

The challenge addressed

LLM context windows are limited. Without proper memory management, agents lose important context, repeat work, or exceed token limits during complex multi-step reasoning.

Core Logic

How the agent solves it

Manages short-term and long-term memory banks with importance scoring and relevance-based retrieval. Performs memory consolidation to prevent context window overflow. Supports episodic, semantic, and... Manages short-term and long-term memory banks with importance scoring and relevance-based retrieval. Performs memory consolidation to prevent context window overflow. Supports episodic, semantic, and procedural memory types. Metadata tracked: importance score (0-1), access count, last accessed timestamp.

System Navigation

Explore related components

Portal

Nexgile-AudiSense Nexus

Digital Worker

AI-Powered Dealer Training Optimizer

Current Agent

Memory Manager Agent

Here