wuyang
1576 lines
54 KiB
JSON
1576 lines
54 KiB
JSON
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"published": "2026-07-01",
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"title": "Multi-Head Recurrent Memory Agents",
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"title": "ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts",
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{
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|
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|
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"title": "Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents",
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|
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"title": "Are We Ready For An Agent-Native Memory System?",
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"title": "State Contamination in Memory-Augmented LLM Agents",
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
|
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|
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|
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"title": "Zep: A Temporal Knowledge Graph Architecture for Agent Memory",
|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
"title": "Learning What Not to Forget: Long-Horizon Agent Memory from a Few Kilobytes of Learning",
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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"title": "MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing",
|
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{
|
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|
|
"published": "2026-05-15",
|
|
"title": "FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast",
|
|
"score": 8,
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"url": "https://arxiv.org/abs/2605.16233"
|
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|
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{
|
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"arxiv_id": "2605.13941",
|
|
"published": "2026-05-13",
|
|
"title": "EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents",
|
|
"score": 8,
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"url": "https://arxiv.org/abs/2605.13941"
|
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|
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{
|
|
"arxiv_id": "2605.12493",
|
|
"published": "2026-05-12",
|
|
"title": "LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2605.12493"
|
|
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|
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{
|
|
"arxiv_id": "2605.07242",
|
|
"published": "2026-05-08",
|
|
"title": "MEMOREPAIR: Barrier-First Cascade Repair in Agentic Memory",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2605.07242"
|
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|
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{
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"title": "Task Memory Engine: Spatial Memory for Robust Multi-Step LLM Agents",
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
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|
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|
|
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|
|
"title": "Joint Optimization of Multi-agent Memory System",
|
|
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|
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|
|
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|
|
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|
|
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|
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|
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|
|
"title": "Agent Memory Below the Prompt: Persistent Q4 KV Cache for Multi-Agent LLM Inference on Edge Devices",
|
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|
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|
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|
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|
|
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|
|
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|
|
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|
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|
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|
|
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|
|
"title": "Who Does This Name Remind You of ? Nationality Prediction via Large Language Model Associative Memory",
|
|
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|
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|
|
"title": "Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices",
|
|
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|
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|
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|
|
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|
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|
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{
|
|
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|
|
"published": "2026-04-03",
|
|
"title": "Poison Once, Exploit Forever: Environment-Injected Memory Poisoning Attacks on Web Agents",
|
|
"score": 4,
|
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"url": "https://arxiv.org/abs/2604.02623"
|
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|
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{
|
|
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|
|
"published": "2026-04-02",
|
|
"title": "DeltaMem: Towards Agentic Memory Management via Reinforcement Learning",
|
|
"score": 4,
|
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"url": "https://arxiv.org/abs/2604.01560"
|
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|
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|
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|
|
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|
|
"title": "ElasticMem: Latent Memory as a Learnable Resource for LLM Agents",
|
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|
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|
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|
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|
|
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|
|
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|
|
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|
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|
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|
|
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|
|
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|
|
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|
|
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|
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|
|
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|
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{
|
|
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|
|
"published": "2026-02-24",
|
|
"title": "MemoPhishAgent: Memory-Augmented Multi-Modal LLM Agent for Phishing URL Detection",
|
|
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|
|
"url": "https://arxiv.org/abs/2602.21394"
|
|
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|
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{
|
|
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|
|
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|
|
"title": "MMA: Multimodal Memory Agent",
|
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|
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|
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{
|
|
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|
|
"published": "2025-12-02",
|
|
"title": "WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning",
|
|
"score": 8,
|
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"url": "https://arxiv.org/abs/2512.02425"
|
|
},
|
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{
|
|
"arxiv_id": "2607.03726",
|
|
"published": "2026-07-04",
|
|
"title": "SelfMem: Self-Optimizing Memory for AI Agents",
|
|
"score": 7,
|
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"url": "https://arxiv.org/abs/2607.03726"
|
|
},
|
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{
|
|
"arxiv_id": "2606.29788",
|
|
"published": "2026-06-29",
|
|
"title": "MemLeak: Diagnosing Information Leaks in Multimodal Agent Memory",
|
|
"score": 7,
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"url": "https://arxiv.org/abs/2606.29788"
|
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|
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{
|
|
"arxiv_id": "2606.25161",
|
|
"published": "2026-06-23",
|
|
"title": "TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory",
|
|
"score": 7,
|
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"url": "https://arxiv.org/abs/2606.25161"
|
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{
|
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|
|
"published": "2026-06-22",
|
|
"title": "Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation",
|
|
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"url": "https://arxiv.org/abs/2606.23127"
|
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|
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{
|
|
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|
|
"published": "2026-05-14",
|
|
"title": "GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations",
|
|
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|
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"url": "https://arxiv.org/abs/2605.14498"
|
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|
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{
|
|
"arxiv_id": "2605.08442",
|
|
"published": "2026-05-08",
|
|
"title": "Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2605.08442"
|
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|
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{
|
|
"arxiv_id": "2512.12818",
|
|
"published": "2025-12-14",
|
|
"title": "Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2512.12818"
|
|
},
|
|
{
|
|
"arxiv_id": "2508.12630",
|
|
"published": "2025-08-18",
|
|
"title": "Semantic Anchoring in Agentic Memory: Leveraging Linguistic Structures for Persistent Conversational Context",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2508.12630"
|
|
},
|
|
{
|
|
"arxiv_id": "2505.22657",
|
|
"published": "2025-05-28",
|
|
"title": "3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2505.22657"
|
|
},
|
|
{
|
|
"arxiv_id": "2607.08716",
|
|
"published": "2026-07-09",
|
|
"title": "Remember When It Matters: Proactive Memory Agent for Long-Horizon Agents",
|
|
"score": 6,
|
|
"url": "https://arxiv.org/abs/2607.08716"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.27499",
|
|
"published": "2026-06-25",
|
|
"title": "DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection",
|
|
"score": 6,
|
|
"url": "https://arxiv.org/abs/2606.27499"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.05684",
|
|
"published": "2026-06-04",
|
|
"title": "AdaMEM: Test-Time Adaptive Memory for Language Agents",
|
|
"score": 6,
|
|
"url": "https://arxiv.org/abs/2606.05684"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.06090",
|
|
"published": "2026-06-04",
|
|
"title": "Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents",
|
|
"score": 6,
|
|
"url": "https://arxiv.org/abs/2606.06090"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.03374",
|
|
"published": "2026-06-02",
|
|
"title": "eMEM: A Hybrid Spatio-Temporal Memory System For Embodied Agents",
|
|
"score": 6,
|
|
"url": "https://arxiv.org/abs/2606.03374"
|
|
}
|
|
],
|
|
"systems_efficiency": [
|
|
{
|
|
"arxiv_id": "2606.12945",
|
|
"published": "2026-06-11",
|
|
"title": "Learning What to Remember: A Cognitively Grounded Multi-Factor Value Model for Agentic Memory",
|
|
"score": 9,
|
|
"url": "https://arxiv.org/abs/2606.12945"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.20954",
|
|
"published": "2026-06-18",
|
|
"title": "Learning What Not to Forget: Long-Horizon Agent Memory from a Few Kilobytes of Learning",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2606.20954"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.15903",
|
|
"published": "2026-06-14",
|
|
"title": "Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2606.15903"
|
|
},
|
|
{
|
|
"arxiv_id": "2605.30690",
|
|
"published": "2026-05-29",
|
|
"title": "ElasticMem: Latent Memory as a Learnable Resource for LLM Agents",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2605.30690"
|
|
},
|
|
{
|
|
"arxiv_id": "2605.23986",
|
|
"published": "2026-05-16",
|
|
"title": "MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2605.23986"
|
|
},
|
|
{
|
|
"arxiv_id": "2605.16233",
|
|
"published": "2026-05-15",
|
|
"title": "FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2605.16233"
|
|
},
|
|
{
|
|
"arxiv_id": "2605.12493",
|
|
"published": "2026-05-12",
|
|
"title": "LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2605.12493"
|
|
},
|
|
{
|
|
"arxiv_id": "2605.07242",
|
|
"published": "2026-05-08",
|
|
"title": "MEMOREPAIR: Barrier-First Cascade Repair in Agentic Memory",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2605.07242"
|
|
},
|
|
{
|
|
"arxiv_id": "2605.08538",
|
|
"published": "2026-05-08",
|
|
"title": "Human-Inspired Memory Architecture for LLM Agents",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2605.08538"
|
|
},
|
|
{
|
|
"arxiv_id": "2604.11563",
|
|
"published": "2026-04-13",
|
|
"title": "Synthius-Mem: Brain-Inspired Hallucination-Resistant Persona Memory Achieving 94.4% Memory Accuracy and 99.6% Adversarial Robustness on LoCoMo",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2604.11563"
|
|
},
|
|
{
|
|
"arxiv_id": "2603.13017",
|
|
"published": "2026-03-13",
|
|
"title": "Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2603.13017"
|
|
},
|
|
{
|
|
"arxiv_id": "2601.06282",
|
|
"published": "2026-01-09",
|
|
"title": "Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2601.06282"
|
|
},
|
|
{
|
|
"arxiv_id": "2512.11303",
|
|
"published": "2025-12-12",
|
|
"title": "Unifying Dynamic Tool Creation and Cross-Task Experience Sharing through Cognitive Memory Architecture",
|
|
"score": 8,
|
|
"url": "https://arxiv.org/abs/2512.11303"
|
|
},
|
|
{
|
|
"arxiv_id": "2607.03726",
|
|
"published": "2026-07-04",
|
|
"title": "SelfMem: Self-Optimizing Memory for AI Agents",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2607.03726"
|
|
},
|
|
{
|
|
"arxiv_id": "2607.01523",
|
|
"published": "2026-07-01",
|
|
"title": "Multi-Head Recurrent Memory Agents",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2607.01523"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.29914",
|
|
"published": "2026-06-29",
|
|
"title": "MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2606.29914"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.24535",
|
|
"published": "2026-06-23",
|
|
"title": "Governed Shared Memory for Multi-Agent LLM Systems",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2606.24535"
|
|
},
|
|
{
|
|
"arxiv_id": "2606.09900",
|
|
"published": "2026-06-05",
|
|
"title": "Less Context, More Accuracy: A Bi-Temporal Memory Engine for LLM Agents Where a Lean Retrieved Context Beats the Full History",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2606.09900"
|
|
},
|
|
{
|
|
"arxiv_id": "2605.29630",
|
|
"published": "2026-05-28",
|
|
"title": "Entity-Collision: A Stratified Protocol for Attributing Retrieval Lift in Agent Memory",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2605.29630"
|
|
},
|
|
{
|
|
"arxiv_id": "2605.17625",
|
|
"published": "2026-05-17",
|
|
"title": "Episodic-Semantic Memory Architecture for Long-Horizon Scientific Agents",
|
|
"score": 7,
|
|
"url": "https://arxiv.org/abs/2605.17625"
|
|
}
|
|
]
|
|
}
|
|
}
|