MemAgent: Learning to Manage Heterogeneous Memory Providers for LLM Agents
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
- Memory in the Age of AI Agents
- Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
- Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning
- Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks
- Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis
- Closed-Form Spectral Regularization for Multi-Task Model Merging
- ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization
- MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
- MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory
- SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills
- Memento-Skills: Let Agents Design Agents
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