Learning from Others, Acting for You: Cross-User Memory Sharing for LLM Agents
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- FedWorld: Scope-Aware Federation of Agent World Models
- SkillClaw: Let Skills Evolve Collectively with Agentic Evolver
- MemGPT: Towards LLMs as Operating Systems
- Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
- Cognitive Architectures for Language Agents
- Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Agent Workflow Memory
- Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
- FederatedSkill: Federated Learning for Agentic Skill Evolution
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