ERRAND: Budgeted Maintenance of Agent Memory
cs.AI
Submitted: 2026-09-02
Updated: 2026-09-02
Terminology
Sources
- SafeCommit: Certifying When Memory-Grounded Agents May Safely Act
- Memory Reward Inflation in Self-Improving LLM Agents
- Registry Descriptions Go Stale Unevenly: An 89-Day Measurement of Model Context Protocol Drift, and Why Drift-Ranked Re-Auditing Under-Covers It
- A Scalable Crawling Algorithm Utilizing Noisy Change-Indicating Signals
- STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure
- Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks
- Skill Drift Is Contract Violation: Proactive Maintenance for LLM Agent Skill Libraries
- Shared Spatial Memory Through Predictive Coding
- Inference-Time Budget Control for LLM Search Agents
- MirrorCraft: Paired Evaluation under Hidden Rule Changes in Minecraft
- Self-Authored Verification Is Unreliable in Heuristic Self-Improving Agents
- Feedback Friction: LLMs Struggle to Fully Incorporate External Feedback
- MemTX: Transactional Belief Commit for Stateful Agent Memory
- A belief-state restless bandit model for treatment adherence: Whittle indexability via partial conservation laws
- MemGPT: Towards LLMs as Operating Systems
- Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architectures
- Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents
- Zep: A Temporal Knowledge Graph Architecture for Agent Memory
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