MemCo: Memory-Centric Collaboration for Generalizing LLM Agents to Unseen Environments
cs.AI
Submitted: 2026-10-05
Updated: 2026-10-05
Code: https://github.com/SYannL/nvdamas
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
- MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- Memp: Exploring Agent Procedural Memory
- Multi-Agent Transactive Memory
- Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization
- FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents
- Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory
- RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory
- What Deserves Memory: Adaptive Memory Distillation for LLM Agents
- MemGPT: Towards LLMs as Operating Systems
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- MIRIX: Multi-Agent Memory System for LLM-Based Agents
- Meta-Policy Reflexion: Reusable Reflective Memory and Rule Admissibility for Resource-Efficient LLM Agent
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
- PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
- ReAct: Synergizing Reasoning and Acting in Language Models
- G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
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