🧠 Awesome Agent Memory

A curated map of memory for AI agents — the systems, benchmarks, and research that give LLM and multimodal agents long-term context, persistent recall, and the ability to improve from experience.

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

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🧭 Start Here

If you want to…	Jump to
Add a memory layer to an agent you're building	💿 Products
Choose a benchmark to evaluate a memory system	📏 Benchmarks
Get oriented in the field	📖 Tutorials · 📚 Surveys
Follow research on memory architectures	🔤 Nonparametric Memory · 🔢 Parametric Memory
Build agents that learn from experience	📈 Memory for Agent Evolution
Protect agent memory from poisoning and abuse	🔒 Memory Security & Defense

📋 How this list is curated

• Open-source products are ordered by GitHub star count — an objective, CI-checked popularity signal, not a quality ranking or an endorsement. Products with fewer than 100 stars sit in a collapsed Emerging projects section and graduate into the main list once they cross that threshold.
• Bold marks resources with reproducible code publicly available.
• Descriptions are factual, not promotional (see the contributing guide).
• This list is maintained by Bloo-Mind AI and the Ubiquitous AGI team at TeleAI. Entries affiliated with the maintainers are marked with † and follow exactly the same ranking, format, and style rules as every other entry.
• Projects that are inactive, archived, or whose claims are disputed move to the Archival subsection with a neutral status label, links to the evidence, and the date the status was last checked.

📰 In the News

• 📰 [Perplexity (2026-06-18)] Perplexity launches Brain, a self-improving memory system
• 📰 [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

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🗂️ 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 page helpful, please give it a ⭐️ — starring also keeps updates in your GitHub feed.

🤝 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.

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💿 Products

Open-Source

Ordered by the number of GitHub stars. Products with fewer than 100 stars continue the list inside the collapsed Emerging projects section below — they graduate into the main list once they cross that threshold.

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 † [code] [docs] [paper] API-compatible high-performance drop-in replacement for Mem0 (import telemem as mem0); listed as a sub-item of Mem0 rather than ranked by stars. Maintainer-affiliated.

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

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

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

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

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

8. Context Mode [code] Context-window optimization for AI coding agents — diverts large tool outputs into a locally searchable store and persists session memory across agent platforms via MCP and hooks.

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

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

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

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

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

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

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

16. engram [code] Persistent memory for AI coding agents — agent-agnostic single Go binary with SQLite + FTS5, exposed via MCP server, HTTP API, CLI, and TUI.

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

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

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

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

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

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

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

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

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

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

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

28. 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.

29. CodeAlmanac [code] Repo-local Markdown wiki for AI coding agents that preserves project conversations, decisions, and implementation context.

30. Compartment [code] Offline, encrypted-at-rest vector memory for agents via MCP server, Python, or CLI; AEAD-encrypted embeddings, hybrid recall, per-record crypto-shred deletion, hash-chained audit log.

31. projectmem [code] [docs] [paper] Local-first, event-sourced memory and judgment layer for AI coding agents: an append-only event log served via MCP, plus a pre-commit gate that warns before repeating a failed fix.

32. Memorix [code] Local-first cross-agent memory layer for coding agents via MCP — SQLite-backed project memory with observation, reasoning, and git-derived fact types, plus task-lensed context briefs.

33. 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.

34. HMS (Holographic Memory System) [code] Long-term memory QA framework that wraps OpenAI clients with automatic recall and retain, PostgreSQL-backed, evaluated on LongMemEval.

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

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

37. Statewave [code] [docs] [blog] Open-source memory runtime for AI agents serving reproducible, provenance-tagged context bundles instead of query-time retrieval; self-hosted on Postgres + pgvector with Python/TypeScript SDKs.

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

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

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

41. 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.

🌱 Emerging projects — open-source products with fewer than 100 GitHub stars, same format and ordering (click to expand)

42. taOSmd [code] [benchmarks] Local-first, offline agent memory: an append-only transcript yields a typed temporal knowledge graph with source-grounded, verifier-checked facts and hybrid retrieval, tuned for small local models.

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

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

45. Wenlan [code] [docs] Local-first AI knowledge base and LLM wiki that distills agent work into source-cited pages and serves them to MCP clients.

46. Mimir [code] MCP-native persistent memory for agents as a single Rust binary — embedded SQLite with FTS5 + vector hybrid search, AES-256-GCM encryption at rest, fully local.

47. 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.

48. Mi-Memory [code] [docs] [paper] Lifecycle memory framework for personal assistant agents from Xiaomi's Darwin Agent team; multi-source user state with provenance, editable correction and forgetting, device-adaptive deployment.

49. ZenBrain [code] [paper] Neuroscience-inspired 7-layer memory architecture for autonomous agents in zero-dependency TypeScript, with FSRS spaced repetition, Hebbian learning, and sleep-cycle consolidation.

50. Data Olympus [code] Governed project memory for AI coding agents: agents propose learnings, humans promote them, and MCP retrieval serves only in-force knowledge after validity and supersession checks.

51. Mnemoverse [code] Persistent memory API for agents over MCP: scores importance on write, builds Hebbian associations, and re-ranks recall from outcome feedback; managed engine, open MCP client.

52. GoodMemory [code] [docs] Local-first, auditable memory layer for AI agents and coding hosts, with durable SQLite, embedding-free recall, MCP access, and opt-in governed writeback.

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

54. Tree Ring Memory [code] Local-first memory lifecycle for AI agents with a Rust CLI, SQLite/FTS recall, audit, forgetting, consolidation, and Ratatui TUI.

55. Agentic Task System [code] [npm] Agent-native context layer over your existing task app (TickTick; Notion/Obsidian planned), exposing hybrid retrieval over tasks/notes to agents via a CLI with pluggable storage adapters.

56. FluctlightDB [code] [paper] Embedded database engine for AI agents with experience()/activate() API and reproducible LoCoMo evaluation.

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

58. inspeximus (formerly mnemo) [code] [pypi] Zero-dependency memory layer and MCP server with value-ranked recall, per-type decay, keyed supersession, revert-based correction, signed provenance, tamper-evident receipts, and cross-store erasure.

59. 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.

60. Talamus [code] [docs] [benchmarks] [pypi] Local-first agent memory that stores source-grounded Markdown, preserves bitemporal history and provenance, and exposes search, recall, and review-gated correction through MCP.

61. Lians agent memory [code] [benchmark] Bitemporal agent memory with deterministic supersession, point-in-time recall, MCP access, audit trails, and local SQLite or PostgreSQL storage.

62. RE-call [code] [docs] [benchmarks] Postgres plus pgvector memory retrieval for AI agents, with provenance, trust verdicts, tenant isolation, MCP access, and abstention when evidence is insufficient.

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

64. sqlite-graph-memory [code] Graph RAG memory for agents over a markdown vault: dense retrieval, hand-curated wikilink 1-hop expansion, cross-encoder rerank, per-turn SQLite ledger.

65. kgai [code] Local-first immutable knowledge graph of engineering decisions for AI coding agents; superseded decisions and rejected approaches stay queryable; embedded graph DB, opt-in team sync.

66. memgres [code] Versioned document memory for AI agents over one Postgres; lexical or semantic recall, diff-based history, git-blame line attribution, GDPR-erasable, multi-tenant via MCP/HTTP.

67. ReFind [code] Agentic long-term memory retriever that plans iterative searches over a conversation-level BM25 index and returns contextual evidence blocks; #2 on the Agent Memory Leaderboard academic textual track (2026-08).

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

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

70. Panella [code] Self-hosted governed memory over MCP; agent writes become durable only after human approval with verifiable receipts; Apache-2.0.

71. InvMem [code] Vanilla RAG baseline (chunking, embeddings, FAISS/SQLite vector store) behind a synchronous Add/Search API; #1 on the Agent Memory Leaderboard academic textual track (2026-08).

72. ActiveMemoryIndex [code] Stores memories twice — verbatim timestamped turns and atomic first-person facts — and retrieves by matching the log's own first-person register; #3 on the Agent Memory Leaderboard academic textual track (2026-08).

73. Hybrid Memory Search [code] Local hybrid-retrieval memory service with per-user isolation, synchronous embedding on write, and BM25 + dense fused ranking; #4 on the Agent Memory Leaderboard academic textual track (2026-08).

74. ChronoHybridMem [code] Evidence-only textual memory over SQLite FTS5 with optional LLM fact extraction and multi-route candidate recall; #5 on the Agent Memory Leaderboard academic textual track (2026-08).

75. Hybrid Episodic Memory [code] Fully deterministic memory service fusing BM25 and dense retrieval over raw conversational turns via weighted reciprocal rank fusion, with no LLM in the memory path; #6 on the Agent Memory Leaderboard academic textual track (2026-08).

76. Chronicle Memory [code] Evidence-only memory over SQLite with a hybrid lexical scorer adding phrase, temporal, and session-diversity bonuses; #7 on the Agent Memory Leaderboard academic textual track (2026-08).

77. FlowGrid AML Retriever [code] Deterministic, evidence-first Add/Search retriever that stores every original message and returns ranked source evidence with traceable retrieval views; #8 on the Agent Memory Leaderboard academic textual track (2026-08).

78. MemoryAgent [code] FastAPI + ChromaDB memory system with local sentence-transformers embeddings and similarity-based write deduplication; #9 (as LLLMemoryAgent) on the Agent Memory Leaderboard academic textual track (2026-08).

79. AML Memory MVP [code] Evidence-only retriever indexing English and CJK text with SQLite FTS5 plus character n-grams, typo-tolerant semantic retrieval, and conversation-neighbor expansion; #10 on the Agent Memory Leaderboard academic textual track (2026-08).

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.

• Agentage Memory Remote MCP memory server (OAuth 2.1 + PKCE + DCR) giving Claude, Cursor, and ChatGPT one shared markdown memory mirrored locally as files you own.

• screenpipe [source-available] [license] [docs] Local-first work memory that captures screen, audio, input, browser, and meeting context for search and agent retrieval.

• MemoraX [spec] [partial-code] Memory layer for long-horizon agents from MemoraX AI; core system is API-only, with an open-source coding-memory plugin; #1 on the Agent Memory Leaderboard industry textual track (2026-08).

Archival

Projects that are inactive or whose claims have been disputed by third parties. Status labels link to the evidence and note when the status was last checked.

• MemPalace ⚠️ Disputed (third-party critiques challenge the project's core claims; last checked 2026-07) [code] [critique1, critique2] Developed by actress Milla Jovovich and her friends

• Memvid ⚠️ Disputed (technical critique raised in GitHub issues, since deleted but archived; last checked 2026-07) [code] [critique (archived)]

• Memary ❄️ Inactive (no significant development activity; last checked 2026-07) [code]

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📖 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]

• Memory, Context, and Retrieval †: Chapter 7 of the book Multi-Agent Systems: A Contemporary Treatment.

🗓️ 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]

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📚 Surveys

🗓️ 2026

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

• 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]

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

• Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations [code]

• Memory for Large Language Models

• 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

• AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents [code]

• 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]

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📏 Benchmarks

💬 Plain-Text Benchmarks

🗓️ 2026

• Agent Memory Leaderboard [code] Public evaluation platform: participants expose Add/Search APIs and are scored on textual-memory and coding-agent-memory tracks.

• OmniMemEval [code]

• Are We Ready For An Agent-Native Memory System? (The MemoryData Paper) [code]

• 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]

• Agent-Memory Integrity Benchmark [code]

• Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models [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]

• RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design [code] [proj]

🗓️ 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

• SEAGym: An Evaluation Environment for Self-Evolving LLM Agents [code]

• 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]

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🔤 Papers - Nonparametric Memory

📝 Text Memory

🗓️ 2026

• Memory Efficiency and Resource-Rational Encoding in Sentence Processing [code]

• AutoMem: Automated Learning of Memory as a Cognitive Skill [code] [proj]

• Mandol: An Agglomerative Agent Memory System for Long-Term Conversations [code]

• 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 [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

• Rethinking Memory as Continuously Evolving Connectivity (FluxMem) [code]

• GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs [code]

• 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

• MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management [code] [proj]

• FluxMem: Adaptive Hierarchical Memory for Streaming Video Understanding [code] [proj]

• 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]

• M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions [code]

• NativeMEM: Native Memory Compression for Long-Horizon Robotic Manipulation [proj]

🗓️ 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

• MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision [code] [proj]

• 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]

• MeMo: Memory as a Model [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]

• Little By Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts [code] [proj]

• How Much Do Language Models Memorize?

• 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 [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

• SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning [code] [proj]

• 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]

• UniMem: Complementary Episodic-to-Parametric Memory for Boundary-Agnostic Task Streams

• Self-Evolving Multi-Agent Systems via Decentralized Memory

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

• Mem-π: Adaptive Memory through Learning When and What to Generate

• Useful Memories Become Faulty When Continuously Updated by LLMs

• 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]

• Self-Harness: Harnesses That Improve Themselves [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

• A Neural Network Model of Free Recall Learns Multiple Memory Strategies [code]

• 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

🗓️ 2024

• A Generative Model of Memory Construction and Consolidation

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🔒 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)

• inspeximus (formerly mnemo) poisoning probes [attack] [defense] Runnable probe scripts demonstrating that provenance written into a memory record is forgeable, and that a retrieval-time corroboration gate raises the cost of memory-poisoning attacks.

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📰 Articles

🗓️ 2026

• Harness Engineering for Self-Improvement

• Why Character.AI Forgets You — And What Persistent Memory Actually Requires (archived; original site currently unreachable)

• 221 Agents: Multi-Agent Coordination Lessons (archived; original site currently unreachable)

• OpenClaw Multi-Tenancy: Why VM-Per-User Does Not Scale (archived; original site currently unreachable)

🗓️ 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

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👥 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]

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📑 Citation

To cite this collection itself, use the metadata in CITATION.cff (GitHub's "Cite this repository" button), or:

@misc{zhang2025awesomeagentmemory,
        author = {Zhang, Dell and Sun, Changzhi and Luo, Jixiang and Chen, Xiangyu and Li, Xuelong},
        title = {Awesome Agent Memory: Curated Systems, Benchmarks, and Papers on Memory for {LLMs}/{MLLMs}},
        year = {2025},
        howpublished = {\url{https://github.com/TeleAI-UAGI/Awesome-Agent-Memory}}
}

This list grew out of the maintainers' SIGIR-AP 2025 tutorial, which you can cite as the related publication:

@inproceedings{zhangConversationalAgentsRAG2025,
        author = {Zhang, Dell and Feng, Yue and Liu, Haiming and Sun, Changzhi and Luo, Jixiang and Chen, Xiangyu and Li, Xuelong},
        title = {Conversational Agents: From {RAG} to {LTM}},
        year = {2025},
        isbn = {9798400722189},
        doi = {10.1145/3767695.3769671},
        booktitle = {Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP)},
        pages = {447–452},
        location = {China}
}

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Star History

_{Regenerated weekly by a scheduled workflow; the previous star-history.com live chart broke when GitHub restricted the stargazers API to repo admins and collaborators in June 2026.}

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