Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception
Fuente:
arXiv
Saved in:
| Main Author: | Brady, Seamus |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DriftScript: A Domain-Specific Language for Programming Non-Axiomatic Reasoning Agents
by: Brady, Seamus
Published: (2026)
by: Brady, Seamus
Published: (2026)
ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Agents Learn Their Runtime: Interpreter Persistence as Training-Time Semantics
by: May, Victor, et al.
Published: (2026)
by: May, Victor, et al.
Published: (2026)
NeuSymMS: A Hybrid Neuro-Symbolic Memory System for Persistent, Self-Curating LLM Agents
by: Sultan, Mujahid, et al.
Published: (2026)
by: Sultan, Mujahid, et al.
Published: (2026)
AgentWall: A Runtime Safety Layer for Local AI Agents
by: Aravind, Ashwin
Published: (2026)
by: Aravind, Ashwin
Published: (2026)
AgentTrust: Runtime Safety Evaluation and Interception for AI Agent Tool Use
by: Yang, Chenglin
Published: (2026)
by: Yang, Chenglin
Published: (2026)
Hierarchical Memory Orchestration for Personalized Persistent Agents
by: Liu, Junming, et al.
Published: (2026)
by: Liu, Junming, et al.
Published: (2026)
Counterfactual Trace Auditing of LLM Agent Skills
by: Zhou, Xiaolin, et al.
Published: (2026)
by: Zhou, Xiaolin, et al.
Published: (2026)
Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections
by: Yang, Xianglin, et al.
Published: (2026)
by: Yang, Xianglin, et al.
Published: (2026)
Adapting the Interface, Not the Model: Runtime Harness Adaptation for Deterministic LLM Agents
by: Xu, Tianshi, et al.
Published: (2026)
by: Xu, Tianshi, et al.
Published: (2026)
Formal Skill: Programmable Runtime Skills for Efficient and Accurate LLM Agents
by: Zhang, Xi, et al.
Published: (2026)
by: Zhang, Xi, et al.
Published: (2026)
Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework
by: Lam, Chingkwun, et al.
Published: (2026)
by: Lam, Chingkwun, et al.
Published: (2026)
AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code
by: Rajput, Prateek, et al.
Published: (2026)
by: Rajput, Prateek, et al.
Published: (2026)
MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection
by: Tan, Zhewen, et al.
Published: (2026)
by: Tan, Zhewen, et al.
Published: (2026)
VIGIL: A Reflective Runtime for Self-Healing Agents
by: Cruz, Christopher
Published: (2025)
by: Cruz, Christopher
Published: (2025)
Separating Diagnosis from Control: Auditable Policy Adaptation in Agent-Based Simulations with LLM-Based Diagnostics
by: Zhong, Shaoxin, et al.
Published: (2026)
by: Zhong, Shaoxin, et al.
Published: (2026)
MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
by: Srivastava, Saksham Sahai, et al.
Published: (2025)
by: Srivastava, Saksham Sahai, et al.
Published: (2025)
STARS: Skill-Triggered Audit for Request-Conditioned Invocation Safety in Agent Systems
by: Zhang, Guijia, et al.
Published: (2026)
by: Zhang, Guijia, et al.
Published: (2026)
Auditable Agents
by: Nian, Yi, et al.
Published: (2026)
by: Nian, Yi, et al.
Published: (2026)
AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software
by: Yang, Rui, et al.
Published: (2025)
by: Yang, Rui, et al.
Published: (2025)
A Case-Based Persistent Memory for a Large Language Model
by: Watson, Ian
Published: (2023)
by: Watson, Ian
Published: (2023)
Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems
by: Sun, Yuan
Published: (2026)
by: Sun, Yuan
Published: (2026)
Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey
by: Schotschneider, Albert, et al.
Published: (2025)
by: Schotschneider, Albert, et al.
Published: (2025)
Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing
by: Yuan, Wenhao, et al.
Published: (2026)
by: Yuan, Wenhao, et al.
Published: (2026)
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
by: Zhang, Haozhen, et al.
Published: (2026)
by: Zhang, Haozhen, et al.
Published: (2026)
Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge
by: Yang, Wei, et al.
Published: (2026)
by: Yang, Wei, et al.
Published: (2026)
Facts as First Class Objects: Knowledge Objects for Persistent LLM Memory
by: Zahn, Oliver, et al.
Published: (2026)
by: Zahn, Oliver, et al.
Published: (2026)
MIRIX: Multi-Agent Memory System for LLM-Based Agents
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
by: Wei, Tianxin, et al.
Published: (2025)
by: Wei, Tianxin, et al.
Published: (2025)
Towards Security-Auditable LLM Agents: A Unified Graph Representation
by: Li, Chaofan, et al.
Published: (2026)
by: Li, Chaofan, et al.
Published: (2026)
Agent Audit: A Security Analysis System for LLM Agent Applications
by: Zhang, Haiyue, et al.
Published: (2026)
by: Zhang, Haiyue, et al.
Published: (2026)
PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection
by: Camarato, Steffen J., et al.
Published: (2026)
by: Camarato, Steffen J., et al.
Published: (2026)
SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety
by: Liu, Zhe, et al.
Published: (2026)
by: Liu, Zhe, et al.
Published: (2026)
Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs
by: Huang, Siyuan, et al.
Published: (2026)
by: Huang, Siyuan, et al.
Published: (2026)
PrivacyPeek: Auditing What LLM-Based Agents Acquire, Not Just What They Say
by: Zhang, Mingxuan, et al.
Published: (2026)
by: Zhang, Mingxuan, et al.
Published: (2026)
A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents
by: Srinivasan, Vasundra
Published: (2026)
by: Srinivasan, Vasundra
Published: (2026)
Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents
by: Al-Tawaha, Ahmad, et al.
Published: (2026)
by: Al-Tawaha, Ahmad, et al.
Published: (2026)
Runtime Governance for AI Agents: Policies on Paths
by: Kaptein, Maurits, et al.
Published: (2026)
by: Kaptein, Maurits, et al.
Published: (2026)
Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation and Explainable AI Architectures
by: Lankford, Séamus
Published: (2024)
by: Lankford, Séamus
Published: (2024)
Similar Items
-
DriftScript: A Domain-Specific Language for Programming Non-Axiomatic Reasoning Agents
by: Brady, Seamus
Published: (2026) -
ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety
by: Wang, Haoyu, et al.
Published: (2025) -
Agents Learn Their Runtime: Interpreter Persistence as Training-Time Semantics
by: May, Victor, et al.
Published: (2026) -
NeuSymMS: A Hybrid Neuro-Symbolic Memory System for Persistent, Self-Curating LLM Agents
by: Sultan, Mujahid, et al.
Published: (2026) -
AgentWall: A Runtime Safety Layer for Local AI Agents
by: Aravind, Ashwin
Published: (2026)