# Introduction
Modern AI agents are powerful but forgetful.
Most systems lose information after conversations end, making long-term intelligence difficult.
This paper investigates persistent memory systems capable of storing, retrieving and ranking information across sessions.
# Problem Statement
Current AI systems:
- Lose context
- Cannot remember experiences
- Restart reasoning repeatedly
- Have limited long-term continuity
# Proposed Architecture
User
↓
AI Agent
↓
Memory Manager
├── Working Memory
├── Episodic Memory
├── Semantic Memory
↓
Vector Store
↓
Retrieval Engine
↓
Response Generator
# AltMemory
AltMemory is a persistent memory infrastructure for autonomous AI agents.
Features:
- Semantic Retrieval
- Long-term Memory
- Persistent Context
- Memory Ranking
# Experiments
We will evaluate:
- Retrieval accuracy
- Context retention
- Search latency
- Memory ranking effectiveness
# Future Work
Future versions will include:
- Memory compression
- Forgetting mechanisms
- Multi-agent memory sharing
- Hierarchical memory systems