Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents
cs.AI
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- MemToolAgent: Leveraging Memory for Tool Using Agents Based on Environment and User Feedback
- Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents
- MemRefine: LLM-Guided Compression for Long-Term Agent Memory
- Escaping the Context Bottleneck: Active Context Curation for LLM Agents via Reinforcement Learning
- SkillOS: Learning Skill Curation for Self-Evolving Agents
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Decocted Experience Improves Test-Time Inference in LLM Agents
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents
- Agent Workflow Memory
- MemHarness: Memory Is Reconstructed, Not Replayed
- Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents
- Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses
- MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
- Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
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