Agent - Memory
- Notes: Memory system for LLM agents
In this session, our readings cover:
Required Readings: MEMORY SYSTEMS
Exploring how agents maintain, retrieve, and use information across interactions.
Core Component: Agent Memory Architecture - Context, Knowledge, and Persistence Key Concepts: RAG systems, long-term vs short-term memory, context window management, knowledge augmentation, hallucination mitigation, model editing
| Topic | Slide Deck | Previous Semester |
|---|---|---|
| Platform - Context Construction via RAG and Agent | W5.2.Team6-RAGagent | 25course |
| Platform - Long Context vs RAG + Hallucination | W9.2-Team2-longContext | 25course |
| Knowledge Augmented FMs | W8-T1-KnowledgeAugmentedFMs.pdf | 24course |
| LLM Hallucination | W9-Team3-P4-hallucination | 24course |
2025 HIGH-IMPACT PAPERS on this topic
- a. Memory in the Age of AI Agents: A Survey (2025)
- GitHub Repository: https://github.com/Shichun-Liu/Agent-Memory-Paper-List
- Comprehensive Coverage of Memory Systems:
- MIRIX: Multi-Agent Memory System (July 2025)
- Hierarchical Memory: Efficient long-term reasoning (July 2025)
- G-Memory: Tracing memory for multi-agent systems (June 2025)
- MemGuide: Intent-driven memory selection (May 2025)
- EverMemOS: Self-organizing memory operating system (January 2026)
- Key Distinction: Agent memory vs LLM memory vs RAG vs context engineering
- Major Papers:
- A-MEM: Agentic Memory for LLM Agents (Feb 2025)
- WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning (Dec 2025)
- CAM: Constructivist View of Agentic Memory (Oct 2025)