A curated collection of systems, benchmarks, and papers et. on memory mechanisms for Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs), exploring how different approaches enable long-term context, retrieval, and efficient reasoning.
๐ Open-source resources (e.g. papers with reproducible code publicly available on Github) are marked in bold font and ranked higher.
- ๐ฐ [AI Godfather (2026-04-08)] MemPalace - How Milla Jovovich's AI Project Scammed the Internet
- ๐ฐ [Troy Hua (2026-03-31)] How Anthropic Built 7 Layers of Memory and a Dreaming System for Claude Code
- ๐ฐ [VelvetShark (2026-03-05)] OpenClaw Memory Masterclass: The complete guide to agent memory that survives
- ๐ฐ [Business Insider (2026-01-08 )] AI still needs a breakthrough in one key area to reach superintelligence, according to those who build it
๐๏ธ Table of Contents
- ๐ฟ Products
- ๐ Tutorials
- ๐ Surveys
- ๐ Benchmarks
- ๐ค Papers - Nonparameteric Memory
- ๐ Text Memory
- ๐ Graph Memory
- ๐ฅ Multimodal Memory (for Understanding)
- ๐ฅ Multimodal Memory (for Generation)
- ๐ข Papers - Parameteric Memory
- ๐ Papers - Memory for Agent Evolution
- ๐ฌ Papers - Memory in Cognitive Science
- ๐ฐ Articles
- ๐ฅ Workshops
If you find this project helpful, please give us a โญ๏ธ on GitHub for the latest update.
๐ค Contributions welcome! Feel free to open an issue or submit a pull request to add papers, fix links, or improve categorization.
Ordered by the number of Github stars.
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TeleMem: A High-Performance Drop-in Replacement for Mem0 [code] [paper]
import telemem as mem0๐ Newly released. Rising star. Stay tuned! ๐
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Letta (formerly MemGPT)
[code] [paper] [research] [blog]
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memory-lancedb-pro
[code] [blog] [video] Enhanced LanceDB memory plugin for OpenClaw
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MemMachine
[code] [blog]
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MemoryBear
[code] [paper]
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agentmemory
[code] Persistent memory for AI coding agents.
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Memov
[code] Git-based, traceable memory layer for Claude Code.
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OMEGA
[code] [pypi] Persistent memory for AI coding agents. MCP server with 25 tools. Ranks #1 on LongMemEval (95.4%).
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widemem-ai
[code] [pypi] Lightweight memory layer with importance scoring, temporal decay, 3-tier hierarchy, YMYL prioritization, and batch conflict resolution. Local-first with SQLite + FAISS.
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Memories.ai [research] [paper] [blog]
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MemPalace โ (Debunked) [code] [critique1,critique2] Developed by actress Milla Jovovich and her friends
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ACM SIGIR-AP 2025 Tutorial: Conversational Agents: From RAG to LTM [paper] [code]
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Daily Dose of DS: A Practical Deep Dive Into Memory Optimization for Agentic Systems [Part-A] [Part-B] [Part-C]
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Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey [code]
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Toward Efficient Agents: Memory, Tool learning, and Planning [code]
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Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
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Survey on AI Memory: Theories, Taxonomies, Evaluations, and Emerging Trends [code]
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From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
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Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions [code]
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From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
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Human-inspired Perspectives: A Survey on AI Long-term Memory
- LoCoMo Refined: Recalibrating LoCoMo with Stricter LLM Judging and A Cleaned Dataset [code]
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Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs (The BEAM Paper) [code] [data]
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MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues (The ZH-4O Paper) [code] [data]
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Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale (The PersonaMem and ImplicitPersona Paper) [code] [data11] [data2]
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Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions (The MemoryAgentBench Paper) [code] [data]
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LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners [code] [data]
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NoLiMa: Long-Context Evaluation Beyond Literal Matching [code] [data]
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MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems [code] [data]
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HaluMem: Evaluating Hallucinations in Memory Systems of Agents [code] [data]
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LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks [code]
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Minerva: A Programmable Memory Test Benchmark for Language Models [code]
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MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents [code]
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Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
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OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows
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LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory [data]
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Evaluating Very Long-Term Conversational Memory of LLM Agents (The LoCoMo Paper) [code] [data]
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โBench: Extending Long Context Evaluation Beyond 100K Tokens [code]
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LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding [code]
- DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories [code] [data] [leaderboard]
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TeleEgo: Benchmarking Egocentric AI Assistants in the Wild [code] [proj]
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LVBench: An Extreme Long Video Understanding Benchmark [code]
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Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis [code]
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MovieChat+: Question-aware Sparse Memory for Long Video Question Answering [code]
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CinePile: A Long Video Question Answering Dataset and Benchmark [code]
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LongVideoBench: A Benchmark for Long-Context Interleaved Video-Language Understanding [code]
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EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding [code]
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LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering
- ARE: Scaling Up Agent Environments and Evaluations (The Gaia2 Paper) [code]
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LightMem: Lightweight and Efficient Memory-Augmented Generation [code]
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Nemori: Self-Organizing Agent Memory Inspired by Cognitive Science [code]
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Text2Mem: A Unified Memory Operation Language for Memory Operating System
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O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents
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Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering
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In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents
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MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
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Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations [code]
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MemoryBank: Enhancing Large Language Models with Long-Term Memory [code]
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Toward Conversational Agents with Context and Time Sensitive Long-term Memory [data]
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InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory
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MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents [code]
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TraceMem: Weaving Narrative Memory Schemata from User Conversational Traces [code]
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PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents [code]
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From RAG to Memory: Non-Parametric Continual Learning for Large Language Models [code]
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MIRIX: Multi-Agent Memory System for LLM-Based Agents [code]
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Hierarchical Memory Organization for Wikipedia Generation [code]
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From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
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Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning
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HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models [code]
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AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents [code]
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HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding [code]
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EventMemAgent: Hierarchical Event-Centric Memory for Online Video Understanding with Adaptive Tool Use [code]
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WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning [code]
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MemVerse: Multimodal Memory for Lifelong Learning Agents [code] [blog]
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MGA: Memory-Driven GUI Agent for Observation-Centric Interaction [code]
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Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory [code]
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HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding [code]
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Episodic Memory Representation for Long-form Video Understanding
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Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding
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Contextual Experience Replay for Self-Improvement of Language Agents
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VideoAgent: Long-form Video Understanding with Large Language Model as Agent [code]
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VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling [code]
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LongVLM: Efficient Long Video Understanding via Large Language Models [code]
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KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systems [code]
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LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory [code]
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OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory
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Yume-1.5: A Text-Controlled Interactive World Generation Model [code]
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StoryMem: Multi-shot Long Video Storytelling with Memory [code]
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MemFlow: Flowing Adaptive Memory for Consistent and Efficient Long Video Narratives [code]
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MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation [code]
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VideoRAG: Retrieval-Augmented Generation over Video Corpus [code]
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Pretraining Frame Preservation in Autoregressive Video Memory Compression
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EgoLCD: Egocentric Video Generation with Long Context Diffusion
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Pack and Force Your Memory: Long-form and Consistent Video Generation
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Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
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MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens [code]
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GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent [code]
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MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling [code]
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Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models (The DeepSeek Engram Paper) [code]
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MLP Memory: Language Modeling with Retriever-pretrained External Memory [code]
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Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models [code]
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Nested Learning: The Illusion of Deep Learning Architectures
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R3Mem: Bridging Memory Retention and Retrieval via Reversible Compression
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May the Memory Be With You: Efficient and Infinitely Updatable State for Large Language Models
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MeMo: Towards Language Models with Associative Memory Mechanisms
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EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts
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Disentangling Memory and Reasoning Ability in Large Language Models
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InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory [code]
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MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding [code]
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MemoryLLM: Towards Self-Updatable Large Language Models [code]
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WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models [code]
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Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
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MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
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WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
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MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents [code]
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ProcMEM: Learning Reusable Procedural Memory from Experience via Non-Parametric PPO for LLM Agents [code]
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MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory [code]
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Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation
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ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning [code]
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Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution [code]
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Learning on the Job: An Experience-Driven, Self-Evolving Agent for Long-Horizon Tasks [code]
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Mem-ฮฑ: Learning Memory Construction via Reinforcement Learning [code]
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Memento: Fine-tuning LLM Agents without Fine-tuning LLMs [code]
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Goal-Directed Search Outperforms Goal-Agnostic Memory Compression in Long-Context Memory Tasks [code]
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AgentEvolver: Towards Efficient Self-Evolving Agent System [code]
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FLEX: Continuous Agent Evolution via Forward Learning from Experience [code]
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MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent [code]
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Beyond Heuristics: A Decision-Theoretic Framework for Agent Memory Management
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Nested Learning: The Illusion of Deep Learning Architecture [blog]
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Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
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ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
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MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
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ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization
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MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
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Task-Core Memory Management and Consolidation for Long-term Continual Learning
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Everything is Context: Agentic File System Abstraction for Context Engineering [code]
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AgentFold: Long-Horizon Web Agents with Proactive Context Management [code]
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ACON: Optimizing Context Compression for Long-horizon LLM Agents [code]
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Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
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Neural Activations and Representations during Episodic versus Semantic Memory Retrieval
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Distinct Neuronal Populations in the Human Brain Combine Content and Context
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Neural Population Activity for Memory: Properties, Computations, and Codes
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How Prediction Error Drives Memory Updating: Role of Locus CoeruleusโHippocampal Interactions
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Towards Large Language Models with Human-Like Episodic Memory
If you find this project helpful, please give us a โญ๏ธ.
Made with โค๏ธ by the Ubiquitous AGI team at TeleAI.
