🧠 Awesome Agent Memory

A curated collection of systems, benchmarks, and papers etc. 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.

👀 Open-source resources (e.g. papers with reproducible code publicly available on Github) are marked in bold font and ranked higher.

---

• 📰 [OpenAI (2026-06-04)] Dreaming: Better memory for a more helpful ChatGPT
• 📰 [Bloo-Mind AI (2026-05-20)] The Benchmark Theatre: Why Almost Nothing You’ve Read About Agent Memory Scores Is True
• 📰 [Jiayi Weng (2026-05-09)] Learning Beyond Gradients
• 📰 [Anthropic (2026-05-08)] Three key areas Anthropic is working on for their next models
• 📰 [InfoQ (2026-04-30)] Cloudflare Announces Agent Memory, a Managed Persistent Memory Service for AI Agents
• 📰 [OpenAI (2026-04-22)] Chronicle: Build Codex Memories from Recent Screen Context
  • Open-Source Alternatives: OpenChronicle, MemScreen
• 📰 [a16z (2026-04-22)] Why We Need Continual Learning
• 📰 [AI Godfather (2026-04-08)] MemPalace - How Milla Jovovich's AI Project Scammed the Internet
• 📰 [Troy Hua (2026-03-31)] How Anthropic Built 7 Layers of Memory and a Dreaming System for Claude Code
• 📰 [VelvetShark (2026-03-05)] OpenClaw Memory Masterclass: The complete guide to agent memory that survives
• 📰 [Business Insider (2026-01-08 )] AI still needs a breakthrough in one key area to reach superintelligence, according to those who build it

---

🗂️ Table of Contents

• 💿 Products
• 📖 Tutorials
• 📚 Surveys
• 📏 Benchmarks
• 💬 Plain-Text Benchmarks
• 🎬 Multimodal Benchmarks
• 🎮 Dynamic Benchmarks & Simulation Environments
• 🔤 Papers - Nonparametric Memory
• 📝 Text Memory
• 🌐 Graph Memory
• 🎥 Multimodal Memory (for Understanding)
• 🎥 Multimodal Memory (for Generation)
• 🔢 Papers - Parametric Memory
• 📈 Papers - Memory for Agent Evolution
• 🧭 Reinforcement Learning & Continual Learning
• 🧩 Context Engineering & Harness Engineering
• 🔬 Papers - Memory in Cognitive Science
• 🔒 Memory Security & Defense
• 📰 Articles
• 👥 Workshops

If you find this project helpful, please give us a ⭐️ on GitHub for the latest update.

🤝 Contributions welcome! Feel free to open an issue or submit a pull request to add papers, fix links, or improve categorization — see the contributing guide for entry formats.

---

💿 Products

Open-Source

Ordered by the number of Github stars.

1. Claude-Mem (A Plug-in for Claude-Code) [code] [docs] Session capture and compression that re-injects past activity into future sessions across coding agents.

2. Mem0 [code] [docs] [paper] [blog] Universal memory layer for AI agents.

   • TeleMem: A High-Performance Drop-in Replacement for Mem0 [code] [docs] [paper] import telemem as mem0

     🆕 Newly released. Rising star. Stay tuned! 😜

3. Zep (powered by Graphiti) [code] [paper] [blog] Real-time temporal knowledge graphs for AI agents.

4. Letta (formerly MemGPT) [code] [paper] [research] [blog] Stateful-agent platform with hierarchical memory that learns and self-improves over time.

5. agentmemory [code] Persistent memory for AI coding agents.

6. gbrain [code] Garry's opinionated OpenClaw/Hermes agent brain.

7. Cognee [code] [paper] [blog] Memory engine that ingests data into a hybrid graph + vector knowledge graph for cross-session agent recall.

8. Hindsight [code] [paper] Agent memory layer that learns from interaction feedback to improve recall over time.

9. Second Me [code] [paper] Personal AI trained on the user to represent them across applications.

10. MemU [code] [blog] Memory layer for 24/7 proactive agents.

11. MemOS (by MemTensor) [code] [paper] Memory OS for LLM agents with hybrid retrieval and cross-task skill reuse.

12. EverOS (part of EverMind) [code] [blog] Toolkit for building, evaluating, and integrating long-term memory in self-evolving agents.

13. TencentDB Agent Memory [code] Fully local long-term memory for AI agents via a 4-tier progressive pipeline, with zero external API dependencies.

14. Honcho [code] [research] [blog] [evals] Memory library for stateful agents with a focus on user modeling.

15. MemoryBear [code] [paper] Memory framework providing human-like episodic and semantic recall to AI agents.

16. memory-lancedb-pro [code] [blog] [video] Enhanced LanceDB memory plugin for OpenClaw

17. OpenMemory [code] Local persistent memory store for LLM apps (Claude Desktop, Copilot, Codex, etc.).

18. MIRIX [code] [paper] [blog] Multi-agent personal assistant that captures on-screen activity and consolidates it into structured memory.

19. MemMachine [code] [blog] Interoperable memory layer providing extensible storage and retrieval primitives for AI agents.

20. Memobase [code] [blog] User profile-based long-term memory for AI chatbot applications.

21. LangMem [code] [blog] LangChain's memory primitives for storing, recalling, and managing agent state in LangGraph workflows.

22. Mem9 [code] [blog] Local private memory hub for OpenClaw and similar coding agents.

23. Memanto [code] [paper] [docs] Typed semantic memory with remember/recall/answer operations and information-theoretic retrieval.

24. PowerMem [code] Persistent, self-evolving memory for AI agents — hybrid vector/full-text/graph retrieval with LLM-driven extraction, Ebbinghaus-style decay, and two-layer Experience + Skill distillation; from the OceanBase team.

25. Vestige [code] [release] Local-first cognitive memory MCP server for coding agents, with FSRS-6 decay, spreading activation, active suppression, Receipt Lock, and an inspectable dashboard.

26. Omnigraph [code] Object-storage-native graph engine for agent memory with git-style branch/merge workflows.

27. Puppyone [code] [docs] Filesystem-shaped agent memory with auto-versioning, per-agent ACLs, and data connectors; accessible via MCP/REST/CLI.

28. Memov [code] Git-based, traceable memory layer for Claude Code.

29. OMEGA [code] [blog] MCP server exposing 25 memory tools for AI coding agents.

30. Mnemory [code] Multi-type agent memory (facts, preferences, episodic) with TTLs, user/agent scoping, and an MCP server.

31. CommonGround Kernel [code] PostgreSQL-backed shared work-record substrate for human-agent and multi-agent systems, with durable handoff facts, causal lineage, and pull-first recovery across runtimes.

32. MisakaNet [code] [wiki] Git-based distributed swarm memory; agents share lessons across nodes via GitHub Issues.

33. MemClaw (Caura) [code] [blog] Governed shared memory for AI agent fleets — cross-agent knowledge sharing with permissions, audit trails, and self-learning.

34. widemem-ai [code] Lightweight memory layer with importance scoring, temporal decay, and 3-tier hierarchy.

35. taOSmd [code] [benchmarks] Local-first, offline agent memory built on an append-only transcript (user + agent messages, tool calls and results, decisions, errors). A librarian derives a typed temporal knowledge graph from it; corrected facts supersede old ones via invalidation. Hybrid vector + BM25 retrieval, tuned for small local models (97% on LongMemEval-S, runs on an 8GB Pi).

36. Origin [code] [docs] Local-first AI work memory for Claude Code, Cursor, Codex, and MCP clients, with session handoffs, source-backed wiki pages, graph context, and hybrid retrieval through one local daemon.

37. memclaw (Felo) [code] Persistent project memory for AI coding agents — isolated per-project workspaces, a web dashboard to review what the agent remembers, and team collaboration.

38. A3M Router [code] Multi-model LLM router with persistent memory (MemoryTree), cross-session context-window management, conversation memory with semantic recall, and ObsidianVault integration.

39. Synap [code] [docs] Long-term memory layer that extracts facts, preferences, episodes, and temporal events from conversations; integrates with most major agent frameworks.

40. archon-memory-core [code] Local-first agent memory with nightly consolidation, active forgetting, and salience scoring.

41. Agent Knowledge Cycle [code] [paper] Six-phase knowledge cycle specification (ADRs, JSON schemas, reference implementation) that turns coding-agent sessions into persistent skills, rules, and memory.

42. PackRat [code] Auto-learning codebook compression that shrinks agent context files while keeping them LLM-readable.

43. Agentic Task System [code] [npm] Agent-native context layer over the task app you already use (TickTick today; Notion/Obsidian on the roadmap); hybrid retrieval (dense + sparse + keyword fused via RRF) over your tasks/notes, exposed to agents via a CLI with pluggable storage adapters.

44. Akephalos [code] Local-first, markdown-based portable agent profile (preferences, rules, durable memories) synced across agents via plain files and Git.

45. 溯忆 (Suyi) [code] Dual-temporal memory engine for AI agents — SQLite-backed, zero-dependency, Ebbinghaus-decayed fact storage with skill crystallization.

46. consciousness-server [code] Self-hosted HTTP services that give multiple local agents one shared memory: notes, chat, tasks, semantic search, agent registry, and opt-in ed25519 auth. Runs fully local (embeddings via Ollama); nothing leaves the host.

Closed-Source

• MemoryLake [blog]

• Supermemory [partial-code] [blog]

• Memories.ai [research] [paper] [blog]

• Macaron Mind Lab [blog] [paper]

• Mem 2.0 [blog]

• M-Flow

• TwinMind [blog]

• Penfield [blog]

• Sonzai

• Threadline [partial-code] [schema] [docs]

• Remio Local-first personal knowledge base that indexes files, webpages, recordings, notes, emails, and messages for agent retrieval via search and RAG.

• AccInt [partial-code] Local-first MCP Work Model for coding agents that retrieves scored memory, records actions, and credits real outcomes; engine is a closed-source binary.

Archival

• MemPalace ❌ (Debunked) [code] [critique1,critique2] Developed by actress Milla Jovovich and her friends

• Memvid ❌ (Debunked) [code] [critique (archived — the GitHub issues were since deleted)]

• Memary ❄️ (Inactive) [code]

---

📖 Tutorials

🗓️ 2026

• Agent Memory Techniques (NirDiamant): 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, Mem0, MemGPT/Letta, Zep, Graphiti, and LoCoMo benchmarks [code]

🗓️ 2025

• ACM SIGIR-AP 2025 Tutorial: Conversational Agents: From RAG to LTM [paper] [code]

• Daily Dose of DS: A Practical Deep Dive Into Memory Optimization for Agentic Systems [Part-A] [Part-B] [Part-C]

---

📚 Surveys

🗓️ 2026

• Memory in the LLM Era: Modular Architectures and Strategies within a Unified Framework [code]

• From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms [code]

• Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey [code]

• Toward Efficient Agents: Memory, Tool learning, and Planning [code]

• LLM Agent Memory: A Survey from a Unified Representation–Management Perspective

• Memory for Autonomous LLM Agents: Mechanisms, Evaluation, and Emerging Frontiers

• Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

• Survey on AI Memory: Theories, Taxonomies, Evaluations, and Emerging Trends

• The AI Hippocampus: How Far are We From Human Memory?

🗓️ 2025

• Memory in the Age of AI Agents [code]

• Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions [code]

• From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs

• Cognitive Memory in Large Language Models

• Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems (Chapter 3)

• Human-inspired Perspectives: A Survey on AI Long-term Memory

🗓️ 2024

• A Survey on the Memory Mechanism of Large Language Model based Agents [code]

---

📏 Benchmarks

💬 Plain-Text Benchmarks

🗓️ 2026

• Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents [code]

• LoCoMo Refined: Recalibrating LoCoMo with Stricter LLM Judging and A Cleaned Dataset [code]

🗓️ 2025

• Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs (The BEAM Paper) [code] [data]

• MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues (The ZH-4O Paper) [code] [data]

• Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale (The PersonaMem and ImplicitPersona Paper) [code] [data11] [data2]

• Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions (The MemoryAgentBench Paper) [code] [data]

• LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners [code] [data]

• NoLiMa: Long-Context Evaluation Beyond Literal Matching [code] [data]

• HaluMem: Evaluating Hallucinations in Memory Systems of Agents [code] [data]

• LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks [code]

• Minerva: A Programmable Memory Test Benchmark for Language Models [code]

• MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents [code]

• Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

• OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application Workflows

🗓️ 2024

• LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory [data]

• Evaluating Very Long-Term Conversational Memory of LLM Agents (The LoCoMo Paper) [code] [data]

• ∞Bench: Extending Long Context Evaluation Beyond 100K Tokens [code]

• LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding [code]

🗓️ 2023

• StoryBench: A Multifaceted Benchmark for Continuous Story Visualization [code]

🎬 Multimodal Benchmarks

🗓️ 2026

• MBench: A Comprehensive Benchmark on Memory Capability for Video World Models [code] [proj] [leaderboard]

• RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark [code] [data] [proj] [leaderboard]

• DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories [code] [data] [leaderboard]

• Persona-MME: A Benchmark for Long-Term Personalized Multimodal LLMs [code] [data]

🗓️ 2025

• TeleEgo: Benchmarking Egocentric AI Assistants in the Wild [code] [data] [proj] [leaderboard]

• LVBench: An Extreme Long Video Understanding Benchmark [code]

• Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis [code]

🗓️ 2024

• MovieChat+: Question-aware Sparse Memory for Long Video Question Answering [code]

• CinePile: A Long Video Question Answering Dataset and Benchmark [code]

• LongVideoBench: A Benchmark for Long-Context Interleaved Video-Language Understanding [code]

🗓️ 2023

• EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding [code]

• LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

🎮 Dynamic Benchmarks & Simulation Environments

🗓️ 2026

• Beyond Static Dialogues: Benchmarking Realistic, Heterogeneous, and Evolving Long-Term Memory [code] [data] [proj]

• AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations [code] [proj]

• StreamMemBench: Streaming Evaluation of Agent Memory for Future-Oriented Assistance

🗓️ 2025

• MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems [code] [data]

• ARE: Scaling Up Agent Environments and Evaluations (The Gaia2 Paper) [code]

🗓️ 2024

• AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents [code]

---

🔤 Papers - Nonparametric Memory

📝 Text Memory

🗓️ 2026

• RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents [code]

• Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval (RF-Mem) [code]

• MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents [code]

• Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation [code]

• MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search [code]

• SimpleMem: Efficient Lifelong Memory for LLM Agents [code]

• Beyond Similarity Search: Tenure and the Case for Structured Belief State in LLM Memory [code]

• MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents

🗓️ 2025

• LightMem: Lightweight and Efficient Memory-Augmented Generation [code]

• What Deserves Memory: Adaptive Memory Distillation for LLM Agents [code]

• Human-inspired Episodic Memory for Infinite Context LLMs [code]

• MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation [code]

• Evaluating Long-Term Memory for Long-Context Question Answering

• Text2Mem: A Unified Memory Operation Language for Memory Operating System

• O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents

• Omne-R1: Learning to Reason with Memory for Multi-hop Question Answering

• In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents

• SEDM: Scalable Self-Evolving Distributed Memory for Agents

• MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

• Towards LifeSpan Cognitive Systems

🗓️ 2024

• Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations [code]

• Agent Workflow Memory [code]

• MemoryBank: Enhancing Large Language Models with Long-Term Memory (AAAI 2024) [code]

• Toward Conversational Agents with Context and Time Sensitive Long-term Memory [data]

• InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

🗓️ 2023

• RET-LLM: Towards a General Read-Write Memory for Large Language Models

🌐 Graph Memory

🗓️ 2026

• HyperMem: Hypergraph Memory for Long-Term Conversations [code]

• Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory [code]

• MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents [code]

• TraceMem: Weaving Narrative Memory Schemata from User Conversational Traces [code]

• PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents [code]

• SAGE: A Self-Evolving Agentic Graph-Memory Engine for Structure-Aware Associative Memory

🗓️ 2025

• From RAG to Memory: Non-Parametric Continual Learning for Large Language Models [code]

• MIRIX: Multi-Agent Memory System for LLM-Based Agents [code]

• From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents (MemGAS) [code]

• Hierarchical Memory Organization for Wikipedia Generation [code]

• From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory

• Bridging Intuitive Associations and Deliberate Recall: Empowering LLM Personal Assistant with Graph-Structured Long-term Memory

• HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model

• Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning

🗓️ 2024

• HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models [code]

• AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents [code]

🎥 Multimodal Memory (for Understanding)

🗓️ 2026

• SE-GA: Memory-Augmented Self-Evolution for GUI Agents [code]

• Visual Agentic Memory: Enabling Online Long Video Understanding via Online Indexing, Hierarchical Memory, and Agentic Retrieval [code]

• PersonaVLM: Long-Term Personalized Multimodal LLMs [code] [proj]

• Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory [code]

• HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding [code]

• EventMemAgent: Hierarchical Event-Centric Memory for Online Video Understanding with Adaptive Tool Use [code]

🗓️ 2025

• WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning [code]

• MemVerse: Multimodal Memory for Lifelong Learning Agents [code]

• MGA: Memory-Driven GUI Agent for Observation-Centric Interaction [code]

• Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory [code]

• HippoMM: Hippocampal-inspired Multimodal Memory for Long Audiovisual Event Understanding [code]

• Infinite Video Understanding

• Episodic Memory Representation for Long-form Video Understanding

• Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding

• Contextual Experience Replay for Self-Improvement of Language Agents

🗓️ 2024

• VideoAgent: Long-form Video Understanding with Large Language Model as Agent [code]

• VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling [code]

• LongVLM: Efficient Long Video Understanding via Large Language Models [code]

• KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systems [code]

🎥 Multimodal Memory (for Generation)

🗓️ 2026

• LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory [code]

• OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory

🗓️ 2025

• MagicWorld: Towards Long-Horizon Stability for Interactive Video World Exploration [code]

• Yume-1.5: A Text-Controlled Interactive World Generation Model [code]

• StoryMem: Multi-shot Long Video Storytelling with Memory [code]

• MemFlow: Flowing Adaptive Memory for Consistent and Efficient Long Video Narratives [code]

• MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation [code]

• VideoRAG: Retrieval-Augmented Generation over Video Corpus [code]

• Pretraining Frame Preservation in Autoregressive Video Memory Compression

• EgoLCD: Egocentric Video Generation with Long Context Diffusion

• Pack and Force Your Memory: Long-form and Consistent Video Generation

• Video World Models with Long-term Spatial Memory

• Mixture of Contexts for Long Video Generation

• Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval

🔢 Papers - Parametric Memory

🗓️ 2026

• Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models (The DeepSeek Engram Paper) [code]

  • Beyond Conditional Computation: Retrieval-Augmented Genomic Foundation Models with Gengram [code]
  • Pooling Engram Conditional Memory in Large Language Models using CXL
  • A Collision-Free Hot-Tier Extension for Engram-Style Conditional Memory: A Controlled Study of Training Dynamics

• δ-mem: Efficient Online Memory for Large Language Models [code]

• Language Model Memory and Memory Models for Language [code]

• MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens [code]

• GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent [code]

• MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling [code]

• STEM: Scaling Transformers with Embedding Modules [code]

• Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories

• Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference

• Training Transformers for KV Cache Compressibility

• Contextual Agentic Memory is a Memo, Not True Memory

• Memory Caching: RNNs with Growing Memory

• Fast-weight Product Key Memory

🗓️ 2025

• MoM: Linear Sequence Modeling with Mixture-of-Memories [code]

• MLP Memory: Language Modeling with Retriever-pretrained External Memory [code]

• Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models [code]

• Memory Retrieval and Consolidation in Large Language Models through Function Tokens

• Nested Learning: The Illusion of Deep Learning Architectures

• Improving Factuality with Explicit Working Memory

• R³Mem: Bridging Memory Retention and Retrieval via Reversible Compression

• May the Memory Be With You: Efficient and Infinitely Updatable State for Large Language Models

• MeMo: Towards Language Models with Associative Memory Mechanisms

• REFRAG: Rethinking RAG based Decoding

• EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts

• Disentangling Memory and Reasoning Ability in Large Language Models

🗓️ 2024

• InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory [code]

• MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding (CVPR 2024) [code]

• MemoryLLM: Towards Self-Updatable Large Language Models [code]

• WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models [code]

• Titans: Learning to Memorize at Test Time

• Memory³: Language Modeling with Explicit Memory

• Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache

• MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool

• WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models

• Ultra-Sparse Memory Network

🗓️ 2023

• Augmenting Language Models with Long-Term Memory [code]

• Efficient Memory Management for Large Language Model Serving with PagedAttention [code]

📈 Papers - Memory for Agent Evolution

🧭 Reinforcement Learning & Continual Learning

🗓️ 2026

• MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery [code]

• SkillOpt: Executive Strategy for Self-Evolving Agent Skills [code]

• Learning, Fast and Slow: Towards LLMs That Adapt Continually [code] [blog]

• CASCADE: Case-Based Continual Adaptation for Large Language Models During Deployment (The DTLBench Paper) [code]

• Memory Intelligence Agent [code]

• PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory [code]

• Toward Autonomous Long-Horizon Engineering for ML Research [code]

• OpenClaw-RL: Train Any Agent Simply by Talking [code]

• Memento-Skills: Let Agents Design Agents [code]

• Memento 2: Learning by Stateful Reflective Memory [code]

• MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents [code]

• ProcMEM: Learning Reusable Procedural Memory from Experience via Non-Parametric PPO for LLM Agents [code]

• MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory [code]

• Self-Evolving Multi-Agent Systems via Decentralized Memory

• Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents

• MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents

• Neural Garbage Collection: Learning to Forget while Learning to Reason

• Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation

• Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents

🗓️ 2025

• End-to-End Test-Time Training for Long Context [code]

• ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning [code]

• MemEvolve: Meta-Evolution of Agent Memory Systems [code]

• Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution [code]

• EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle [code]

• Learning on the Job: An Experience-Driven, Self-Evolving Agent for Long-Horizon Tasks [code]

• Mem-α: Learning Memory Construction via Reinforcement Learning [code]

• Memento: Fine-tuning LLM Agents without Fine-tuning LLMs [code]

• Goal-Directed Search Outperforms Goal-Agnostic Memory Compression in Long-Context Memory Tasks [code]

• General Agentic Memory via Deep Research [code]

• AgentEvolver: Towards Efficient Self-Evolving Agent System [code]

• FLEX: Continuous Agent Evolution via Forward Learning from Experience [code]

• MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent [code]

• Beyond Heuristics: A Decision-Theoretic Framework for Agent Memory Management

• Nested Learning: The Illusion of Deep Learning Architecture [blog]

• LightSearcher: Efficient DeepSearch via Experiential Memory

• Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

• Latent Learning: Episodic Memory Complements Parametric Learning by Enabling Flexible Reuse of Experiences

• Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

• ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

• Long Term Memory: The Foundation of AI Self-Evolution

• REFRAG: Rethinking RAG based Decoding

• MemGen: Weaving Generative Latent Memory for Self-Evolving Agents

• ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

• MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding

• Continual Learning via Sparse Memory Finetuning

• Task-Core Memory Management and Consolidation for Long-term Continual Learning

🧩 Context Engineering & Harness Engineering

🗓️ 2026

• Code as Agent Harness [code]

• SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents [code]

• LCM: Lossless Context Management [code]

• CL-bench: A Benchmark for Context Learning [code]

• Is Grep All You Need? How Agent Harnesses Reshape Agentic Search

• M*: Every Task Deserves Its Own Memory Harness

🗓️ 2025

• Everything is Context: Agentic File System Abstraction for Context Engineering [code]

• AgentFold: Long-Horizon Web Agents with Proactive Context Management [code]

• ACON: Optimizing Context Compression for Long-horizon LLM Agents [code]

• Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

🔬 Papers - Memory in Cognitive Science

🗓️ 2026

• Subspace Communication in the Hippocampal–Retrosplenial Axis

• A Neural State Space for Episodic Memories

• Dopaminergic Processes Predict Temporal Distortions in Event Memory

• Awareness as the Heart of Working Memory

• Neural Activations and Representations during Episodic versus Semantic Memory Retrieval

• Distinct Neuronal Populations in the Human Brain Combine Content and Context

🗓️ 2025

• Neural Population Activity for Memory: Properties, Computations, and Codes

• How Prediction Error Drives Memory Updating: Role of Locus Coeruleus–Hippocampal Interactions

• Towards Large Language Models with Human-Like Episodic Memory

---

🔒 Memory Security & Defense

• Agent Memory Guard [code] [pypi] OWASP runtime defense layer that screens agent memory writes for poisoning before they reach the agent — multi-layer validation with semantic anomaly detection, entropy scoring, provenance verification, and cross-reference and temporal checks.

• From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents (The MPBench Paper)

---

📰 Articles

🗓️ 2026

• Why Character.AI Forgets You — And What Persistent Memory Actually Requires

• 221 Agents: Multi-Agent Coordination Lessons

• OpenClaw Multi-Tenancy: Why VM-Per-User Does Not Scale

🗓️ 2025

• Survey of AI Agent Memory Frameworks

🗓️ 2024

• Memory in Language Model-Enabled Agents

• Mastering LLM Memory: A Comprehensive Guide

🗓️ 2023

• LLM Powered Autonomous Agents

---

👥 Workshops

🗓️ 2026

• ICLR 2026: Workshop on Memory for LLM-Based Agentic Systems (MemAgents) [schedule]

🗓️ 2025

• ACL 2025: The First Workshop on Large Language Model Memorization (L2M2) [proceedings]

---

📑 Citation

If this list is useful for your research or product, please cite it:

@misc{awesome-agent-memory,
  title        = {Awesome Agent Memory: Curated Systems, Benchmarks, and Papers on Memory for LLMs/MLLMs},
  author       = {{Bloo-Mind AI Ltd} and {TeleAI Ubiquitous AGI Team}},
  year         = {2026},
  howpublished = {\url{https://github.com/TeleAI-UAGI/Awesome-Agent-Memory}}
}

See also the companion tutorial: Conversational Agents: From RAG to LTM (ACM SIGIR-AP 2025).

---

Star History

---

If you find this project helpful, please give us a ⭐️.

Made with ❤️ by Bloo-Mind AI Ltd and the Ubiquitous AGI team at TeleAI.