HaluMem

Exposing Memory Hallucinations in AI Systems

50%+ Failure Rate
4 Types of Hallucinations
3 Core Operations

The Memory Crisis in AI

Modern AI systems are experiencing a critical memory crisis. When you tell a chatbot you enjoy science fiction, it might later recommend romance novels. Share news about your promotion, and minutes later it asks about your job.

This isn't just forgetfulness—it's memory hallucination, a fundamental flaw where AI systems fabricate, misremember, and generate contradictory content, contaminating all subsequent reasoning.

Four Types of Memory Hallucinations

Fabrication

Creating memories that never happened

User: "I like parrots now" → System stores: "User dislikes parrots"

Error

Wrong details in retrieved memories

User: "My friend Joseph..." → System remembers: "Friend Mark..."

Conflict

Contradictory memories coexist

Memory 1: "Good health" + Memory 2: "Poor health" (both active)

Omission

Failing to retrieve crucial information

User mentions promotion → System forgets it in next conversation

Core Memory Operations

Extract

Identify key information from conversation

Store

Save as structured memory points

Update

Modify when encountering new info

Retrieve

Fetch relevant memories for context

43%

Max Recall Rate

Best systems only retrieve less than half of important memories

62%

Max Accuracy

Large portion of stored memories are fabricated or incorrect

74%+

Update Omission

Systems fail to update memories when new info arrives