TeleAI-UAGI/Awesome-Agent-Memory
TeleAI-UAGI/Awesome-Agent-Memory has 712 GitHub stars and 172 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-15 19:23 UTC. Last push 2026-11-14.
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Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
AIREADME.md
Original🧠 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.
🧭 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 the same ranking, format, and style rules as every other entry. One convention applies to all entries regardless of affiliation: an API-compatible drop-in replacement for a listed product is nested under that product as an unranked sub-item rather than given its own star-ranked position.
- 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
- 📰 [Anthropic (2026-11-06)] The components of agent memory
- 📰 [Meta (2026-10-12)] Muse Wonder introduces "Active Memory": carrying context about the user across conversations and actively retrieving the details relevant to the task at hand
- 📰 [AI Weekly (2026-10-09)] Memento 3 Posts 100.0 RHAE on ARC-AGI-3 With Frozen LLM Rulebook
- 📰 [NVIDIA (2026-08-21)] AVO reaches 100% on ARC-AGI-3, crediting persistent memory across context resets and a supervisor that redirects a stalled agent
- 📰 [Agent Memory Leaderboard (2026-08-13)] First public results: 136 teams registered and 69 memory systems completed the first text-memory evaluation
- 📰 [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
🗂️ Table of Contents
- 💿 Products
- 📖 Tutorials
- 📚 Surveys
- 📏 Benchmarks
- 🔤 Papers - Nonparametric Memory
- 📝 Text Memory
- 🌐 Graph Memory
- 🎥 Multimodal Memory (for Understanding)
- 🎥 Multimodal Memory (for Generation)
- 🔢 Papers - Parametric Memory
- 📈 Papers - Memory for Agent Evolution
- 🔬 Papers - Memory in Cognitive Science and Neural 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.
💿 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. An API-compatible drop-in replacement for a listed product appears as an unranked sub-item under that product.
Claude-Mem
[code] [docs] [blog] Hook-based session capture compressed into searchable observations and re-injected into later sessions across Claude Code, Codex, Cursor, OpenClaw and other hosts; optional hosted cloud sync.
Mem0
[code] [docs] [paper] [blog] Universal memory layer for AI agents.
Hindsight
[code] [paper] [blog] Agent memory layer that learns from interaction feedback to improve recall over time.
OpenViking
[code] [docs] [paper1] [paper2] [blog] Self-evolving context database for AI agents that unifies agent memory, knowledge RAG, and skills behind one storage/retrieval layer, with an MCP server for cross-session read/write.
Cognee
[code] [paper] [blog] Memory engine that ingests data into a hybrid graph + vector knowledge graph for cross-session agent recall.
gbrain
[code] Garry's opinionated OpenClaw/Hermes agent brain.
Zep (powered by Graphiti)
[code] [paper] [blog] Real-time temporal knowledge graphs for AI agents.
TencentDB Agent Memory
[code] Fully local long-term memory for AI agents via a 4-tier progressive pipeline, with zero external API dependencies.
agentmemory
[code] Persistent memory for AI coding agents.
Letta (formerly MemGPT)
[code] [paper] [research] [blog] Stateful-agent platform with hierarchical memory that learns and self-improves over time.
Second Me
[code] [paper] Personal AI trained on the user to represent them across applications.
EverOS (part of EverMind)
[code] [blog] Toolkit for building, evaluating, and integrating long-term memory in self-evolving agents.
MemOS (by MemTensor)
[code] [paper] Memory OS for LLM agents with hybrid retrieval and cross-task skill reuse.
MemoryBear
[code] [paper] Memory framework providing human-like episodic and semantic recall to AI agents.
Honcho
[code] [research] [blog] [eval] Memory library for stateful agents with a focus on user modeling.
engram (by Gentleman-Programming)
[code] Persistent memory for AI coding agents — agent-agnostic single Go binary with SQLite + FTS5, exposed via MCP server, HTTP API, CLI, and TUI.
OpenMemory
[code] Local persistent memory store for LLM apps (Claude Desktop, Copilot, Codex, etc.).
memory-lancedb-pro
[code] [blog] [video] Enhanced LanceDB memory plugin for OpenClaw
MIRIX
[code] [paper] [blog] Multi-agent personal assistant that captures on-screen activity and consolidates it into structured memory.
MemMachine
[code] [blog] Interoperable memory layer providing extensible storage and retrieval primitives for AI agents.
Memobase
[code] User profile-based long-term memory for AI chatbot applications.
Memanto
[code] [paper] [docs] Typed semantic memory with
remember/recall/answeroperations and information-theoretic retrieval.Omnigraph
[code] Object-storage-native graph engine for agent memory with git-style branch/merge workflows.
LangMem
[code] [blog] LangChain's memory primitives for storing, recalling, and managing agent state in LangGraph workflows.
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.
Puppyone
[code] [docs] Filesystem-shaped agent memory with auto-versioning, per-agent ACLs, and data connectors; accessible via MCP/REST/CLI.
deja
[code] [eval] Indexes session transcripts forty-three coding agents already write to disk, retroactively — local BM25 recall over them via hooks and MCP, credentials redacted at index time.
Mem9
[code] [blog] Local private memory hub for OpenClaw and similar coding agents.
Sno Station
[code] Codex, Claude Code, Cursor, Hermes Agent and OpenClaw share one local encrypted memory, so one continues another's task when it hits a usage limit.
CodeAlmanac
[code] Repo-local Markdown wiki for AI coding agents that preserves project conversations, decisions, and implementation context.
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.
projectmem
[code] [docs] [paper] Local-first, event-sourced memory for AI coding agents: an append-only event log served via MCP, plus a pre-commit gate that warns before repeating a failed fix.
HMS (Holographic Memory System)
[code] Long-term memory QA framework that wraps OpenAI clients with automatic recall and retain, PostgreSQL-backed, evaluated on LongMemEval.
Vestige
[code] [release] Local MCP memory server for coding agents on Strata, an append-only log with gated writes, receipts, and FSRS decay, plus a pre-tool action gate.
Comma
[code] [blog] Always-on personal agent that keeps owner-editable Markdown memory (user, people and environment notes, append-only daily episodes) searched on demand rather than preloaded, asks past Task workers what they remember, and can keep a short shared fact list in every session's context; hosted or self-hosted.
funes
[code] [docs] Verbatim memory of Claude Code, Codex, pi and Hermes sessions: no LLM at ingest, reranked hybrid search over MCP, shareable as a Hugging Face dataset.
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.
MisakaNet
[code] [wiki] Git-based distributed swarm memory; agents share lessons across nodes via GitHub Issues.
Caura (formerly MemClaw)
[code] [blog] Governed shared memory for AI agent fleets — cross-agent knowledge sharing with permissions, audit trails, and self-learning.
Uteke
[code] [eval] Local-first long-term memory for AI agents in Rust: hybrid vector and full-text recall, shared rooms, point-in-time recall, MCP server.
MemoSync
[code] Local workbench for Claude Code, Codex, Pi and OpenCode where the user reviews memory changes, picks each turn's memory, and checks citations and compliance.
Mnemory
[code] Multi-type agent memory (facts, preferences, episodic) with TTLs, user/agent scoping, and an MCP server.
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.
Remnic
[code] [docs] [paper] Local-first Markdown memory shared across coding agents and MCP clients, with per-result provenance, correction workflows, and the MemCorrect benchmark.
OMEGA
[code] [blog] MCP server exposing 25 memory tools for AI coding agents.
Belief Context Graph
[code] [docs] Confidence-aware belief graph organizing long-horizon agent context into trackable, updatable belief states; includes SDK, graph-building tools, visualization UI, and agent benchmark.
Engramory
[code] General-purpose long-term memory layer for AI agents: one markdown file per memory, a size-capped pointer index read every session, and a read-only validator.
Memov
[code] Git-based, traceable memory layer for Claude Code.
ZizkaDB
[code] [docs] Audit-trail database for AI agents whose logged events double as memory: hash-chained log with parent links, why-queries, point-in-time state, ranked context for prompts; MCP, SDKs.
Mnemosyne (by 28naem-del)
[code] [docs] [eval] Local-first TypeScript agent memory in one SQLite file; memories keep source evidence, corrections retire recorded dependents, exact replay and bisect in 3.0 pre-release; MCP, CLI.
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.
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.
🌱 Emerging projects — open-source products with fewer than 100 GitHub stars, same format and ordering (click to expand)
causal-memory
[code] [eval] Local-first agent memory in Rust: facts and typed decision→outcome causal edges (caused/enabled/prevented) on one SQLite store, with inhibitory spreading activation, MCP server, CLI, Python bindings.
taOSmd
[code] [eval] 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.
openJiuwen agent-memory
[code] [docs] Framework-agnostic long-term memory from openJiuwen: layered extraction into facts, events and profiles, hybrid BM25/vector recall with reranking, scope isolation; Python SDK, HTTP API, CLI, MCP.
Synap
[code] [docs] Long-term memory layer that extracts facts, preferences, episodes, and temporal events from conversations; integrates with most major agent frameworks.
LWC
[code] Agent-operated persistent memory CLI with source-cited Wiki pages, full-text search, document graphs, and CodeGraph indexes for cross-session project recall.
Atris
[code] Agent workspace CLI whose project memory is repo-local Markdown (file:line map, linked wiki, daily logs) that Claude Code, Codex and Cursor read and write.
RetainDB
[code] Local-first agent memory with noise filtering, typed facts, reuse-based reinforcement, and BM25 + vector + graph retrieval with RRF and reranking; Apache-2.0 core, BSL-1.1 server.
widemem-ai
[code] Lightweight memory layer with importance scoring, temporal decay, and 3-tier hierarchy.
Renor
[code] [docs] Coding-agent memory over MCP: one owner's Markdown notes, recalled across Claude Code, Codex and Cursor by keyword or optional embedding search; hosted or self-hosted.
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.
IHMT
[code] [eval] Local MCP memory for coding agents: a tree of plain-text leaves and JSON summaries, with dated facts and OUTDATED/AMBIGUOUS notices, shared across agents.
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.
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.
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.
Mnemoverse
[code] [docs] Hosted long-term memory for agents over MCP and REST; rating a recalled memory as helpful or misleading re-ranks what comes back next; MIT-licensed MCP server.
InvMem
[code] Vanilla RAG baseline (chunking, embeddings, FAISS/SQLite vector store) behind a synchronous Add/Search API; #1, Agent Memory Leaderboard (academic textual, 2026-08).
Selvedge
[code] [docs] Local decision memory for coding agents: records code decisions, rejected approaches and revisit conditions in SQLite; retrieved through MCP or CLI.
Fidelis Memory
[code] [eval] Local-first memory for coding agents: MCP recall returns original passages verbatim via vector search, with an explicit BM25/RRF hybrid mode; no generative LLM in retrieval.
LLMSlim
[code] [docs] Context-compression library whose no-LLM memory stores turns verbatim in SQLite or Postgres and recalls them, whole where they fit, within a token budget; stdio MCP.
Big Agentic Brain
[code] [blog] [eval] Self-hosted shared memory for an organization's agents: one container on SQLite, BM25 search boosted by agents' reactions, and agent-to-agent messages; MCP or HTTP API.
Tree Ring Memory
[code] Local-first memory lifecycle for AI agents with a Rust CLI, SQLite/FTS recall, audit, forgetting, consolidation, and Ratatui TUI.
daimon
[code] Session-continuity memory for coding agents: session-end checkpoints become next-session briefings with items tagged verbatim or inferred; human-ratified rules can block shell commands.
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.
ReFind
[code] Memory retriever that plans iterative searches over a conversation-level BM25 index and returns contextual evidence blocks; #2, Agent Memory Leaderboard (academic textual, 2026-08).
A3M Router
[code] Multi-model LLM router with persistent memory (MemoryTree), cross-session context-window management, conversation memory with semantic recall, and ObsidianVault integration.
Agentic Task System
[code] 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.
Lians agent memory
[code] [eval] Bitemporal agent memory with deterministic supersession, point-in-time recall, MCP access, audit trails, and local SQLite or PostgreSQL storage.
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.
Counterparts
[code] Long-term memory for Claude Code: Claude writes its own memories each session, unused ones fade, and everything stays in local SQLite.
myc
[code] [docs] Local task-and-memory layer for coding agents: decision oplog with hybrid search, session/repo-scoped recall, PreCompact hook saving the episode before compaction; Bun + SQLite.
AtMem
[code] Local-first agent memory with governed retrieval, provenance, lifecycle controls, delegated context delivery, execution evidence, SQLite storage, MCP, and an audit dashboard.
FluctlightDB
[code] [paper] Embedded database engine for AI agents with
experience()/activate()API and reproducible LoCoMo evaluation.birkin-mnemosyne
[code] Stdlib-only Python memory for agents: Markdown vault with BM25, Korean bigrams and usage decay; model curation passes through a deterministic safety-clamping executor; optional MCP server.
VOOL
[code] [eval] Local-first personal agent whose cross-session memory is readable files (MEMORY.md plus an entries store), embedded on-device, with verified forgetting; cloud models optional.
Lockstep
[code] Shared decision ledger for teams using AI coding agents: records accepted decisions, rationale, and rejected options, and briefs new agent sessions via MCP.
Lint-AI
[code] Agent memory and semantic review engine with lexical, temporal, and graph-aware retrieval across conversations, documents, code, and agent sessions.
skillmem
[code] Skill memory for Claude Code and Codex agents: records how tasks were solved, recalls them, reinforces what works, decays the rest; SQLite + FTS5 MCP server.
chamnan
[code] [data] Repository-local context for coding agents: an architecture index, impact map, and decision records committed beside the code.
Hyperconsciousness
[code] Encrypted, append-only knowledge store for humans and agents: signed records sync across devices and are exposed through scoped, expiring grants over MCP.
elephant
[code] Claude Code plugin keeping per-repo memory in a committed
ELEPHANT.mdplus a global cross-repo file; hooks load both at session start and prompt saves.hermeneutic
[code] Turns corrections from AI agent logs into guidance for similar tasks: local semantic memory with prompt-context hooks and response checks.
Graphmem
[code] Local-first memory for coding agents in Rust: scoped memories and an entity graph in SQLite, recalled via local embeddings plus Personalized PageRank; MCP server.
Synapse
[code] Zero-dependency Markdown memory vault with ChatGPT/Claude imports, SQLite keyword and optional semantic search, linked wiki pages, MCP retrieval, and human-approved agent notes.
ClickHouse Loom
[code] [eval] Self-hosted MCP server and HTTP API giving agents shared long-term memory, cited document search and a repository code index, stored in ClickHouse.
ActiveMemoryIndex
[code] Dual store of verbatim timestamped turns and atomic first-person facts, retrieved in the same register; #3, Agent Memory Leaderboard (academic textual, 2026-08).
inspeximus (formerly mnemo)
[code] 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.
Fraise
[code] [docs] [eval] In-memory temporal graph database for agents, queried with remember/recall verbs over HTTP or MCP; hybrid text, graph and optional vector retrieval; no persistence yet (2026-10).
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.
Vicem
[code] Zero-dependency session handoff between coding agents: transcripts become salience-ranked
.vicem/BATON.mdbriefings; skeletonized function bodies are restored on demand from a SHA-256-checked ledger over MCP.RE-call
[code] [docs] [eval] Agent memory on SQLite or PostgreSQL with pgvector, returning verdict, confidence and provenance per result, flagging superseded facts and abstaining when evidence is insufficient.
archon-memory-core
[code] Local-first agent memory with nightly consolidation, active forgetting, and salience scoring.
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.
Mnemosyne (by ElonAug7)
[code] Memory engine for OpenClaw and Hermes: JSONL and Markdown layers ranked by weighted importance, recency, keyword and hit-frequency scoring; offline by default, DashScope embeddings opt-in.
Talamus
[code] [docs] [eval] Local-first agent memory that stores source-grounded Markdown, preserves bitemporal history and provenance, and exposes search, recall, and review-gated correction through MCP.
kannaka-memory
[code] [eval] Rust agent memory as a wave-interference medium: phase-coded wavefronts, bilateral hemispheres, dream consolidation and forgetting, NATS swarm sync; CLI and MCP plugin.
agent-memory-doctor
[code] Boot-time integrity checker for agent memory files and SQLite session stores: fingerprint and hash checks, size and freshness limits, archive verification; CLI and GitHub Action.
Verified Memory Vault
[code] Obsidian vault doubling as Claude Code memory: deterministic health-score linter (undated entries, duplicates, dead links) plus a git pre-commit hook refusing mass deletions.
PackRat
[code] Auto-learning codebook compression that shrinks agent context files while keeping them LLM-readable.
ChronoHybridMem
[code] Evidence-only textual memory over SQLite FTS5 with optional LLM fact extraction and multi-route candidate recall; #5, Agent Memory Leaderboard (academic textual, 2026-08).
MoobFS
[code] Experimental Linux filesystem for agent-memory storage, with typed extended attributes and permission-scoped queries; developed with AI assistance, for disposable-VM evaluation.
claude-memory-tidy
[code] Maintenance layer for always-loaded agent memory files: deterministic budget guard, orphan-note coverage, and verbatim folding into warm sub-indexes, guarding against silent truncation.
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.
FlowGrid AML Retriever
[code] Deterministic, evidence-first Add/Search retriever that stores every original message and returns ranked, traceable source evidence; #8, Agent Memory Leaderboard (academic textual, 2026-08).
engram (by FBISiri)
[code] Go memory service on Qdrant with write-time dedup and importance gating, type-based TTL decay, reflection into insights, and MCP plus REST interfaces.
AML Memory MVP
[code] Evidence-only, typo-tolerant retriever over English and CJK text using SQLite FTS5, character n-grams, and conversation-neighbor expansion; #10, Agent Memory Leaderboard (academic textual, 2026-08).
ExperienceNet
[code] [docs] Self-hosted experience network for agents: search and write real technical attempts (problem/conditions/action/outcome), lexical + semantic hybrid retrieval over PostgreSQL/pgvector, gap capture, reuse feedback.
YYLO Ledger
[code] Git-native task and Record store for coding-agent workflows: reviewable current state, append-only history, dependency-aware work, and bounded queries.
Project Noosphere
[code] Hosted knowledge commons for agents over MCP: search sourced findings and how-tos, report whether they worked, propose revisions; CC0 content, submissions LLM-reviewed nightly.
溯忆 (Suyi)
[code] Dual-temporal memory engine for AI agents — SQLite-backed, zero-dependency, Ebbinghaus-decayed fact storage with skill crystallization.
Panella
[code] Self-hosted governed memory over MCP; agent writes become durable only after human approval with verifiable receipts; Apache-2.0.
Hybrid Memory Search
[code] Local hybrid-retrieval memory service with per-user isolation, synchronous embedding on write, and fused BM25/dense ranking; #4, Agent Memory Leaderboard (academic textual, 2026-08).
Chronicle Memory
[code] Evidence-only memory over SQLite with a hybrid lexical scorer adding phrase, temporal, and session-diversity bonuses; #7, Agent Memory Leaderboard (academic textual, 2026-08).
MemoryAgent
[code] FastAPI + ChromaDB memory system with local sentence-transformers embeddings and similarity-based write deduplication; #9 as LLLMemoryAgent, Agent Memory Leaderboard (academic textual, 2026-08).
FeedRecall
[code] Local-first MCP memory for saved social discoveries, with source dates, project relevance, evidence lifecycle, timelines, and bounded recall for coding agents.
RCLL
[code] [docs] [eval] Self-hosted shared memory for a fleet of agents: topic rooms, L0–L3 depth, Postgres/pgvector; the read path invokes no language model. Fork of Hindsight.
notebook.py
[code] Single-file Python tool for Claude Code transcript memory, stored as editable Markdown with source references and retained history of retired entries.
kith
[code] [eval] Relationship memory between agents on SQLite: append-only observations derive trust, reliability, and sentiment views with per-entry visibility scopes.
alethech
[code] Verifiable agent continuity in Python: Ed25519-signed memory commits in a hash-linked DAG, identity-preserving key rotation, encrypted portable history; local-first, zero-LLM.
agent-memory-recall
[code] Read-only Python CLI searching Hermes Agent's conversation store and notes, wiki, memory and skill files; --home or --roots target other layouts or artifact folders.
Revo
[code] Self-starting terminal coding agent whose append-only JSONL life log keeps keyword-recalled memories, intentions and obligations across restarts; graceful sleep adds a model-written continuity capsule.
Closed-Source
MemoraX [spec] [platform] Memory layer for long-horizon agents from MemoraX AI; core system is API-only; #1, Agent Memory Leaderboard (industry textual, 2026-08).
- MemoraX Code
[code] Coding-agent memory product—not a text-chatbot memory layer—that carries engineering experience, repository knowledge, preferences, and procedures across tasks and sessions.
- MemoraX Code
Supermemory [code] [docs] Memory API, hosted or free self-hosted; SDKs, MCP server, and dashboard are MIT, but the memory engine ships only as a prebuilt binary.
Memories.ai [research] [paper] [blog]
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.
Firekeep [source-available] [license] [docs] Self-hosted shared memory, working context, coordination, and evidence for Claude Code, Codex, Kiro, OpenCode, and other MCP clients.
ORANO [docs] [blog] Consumer app that distills saved Reels, videos, articles, and PDFs into projects and memory facts that the user's agent reads over a read-only MCP server.
Wontopos (Tablet 2) [paper] [eval] Memory API with no language model in the retrieval path; paper-reported 95.7% LongMemEval-S, 95.2% recall@5 over 70 language pairs, and BEAM-1M 67.5% with published harness.
Perseus Vault (formerly Mimir) [docs] Local MCP memory server as a single Rust binary: SQLite FTS5 plus vector hybrid search, AES-256-GCM at rest; GitHub source repository not publicly accessible (2026-09).
ContextStream [partial-code] [docs] [eval] Hosted MCP context layer for coding agents: persistent decisions and lessons, semantic code search, post-compaction recovery; MIT-licensed Rust client, hosted backend closed-source.
Sentra Organization-wide memory layer for teams and agents: ingests meetings, mail, tickets, and repositories into a bi-temporal fact graph served over REST and MCP.
Moraine Home [source-available] [license] Local-first memory workbench for personal agents and companions: hybrid keyword/vector retrieval, human-and-agent review of candidates, reversible consolidation, timelines, and MCP/HTTP interfaces.
ByteRover [source-available] [license] [paper] [docs] LLM-curated hierarchical context tree for coding agents, with git-like branching, cloud sync, and MCP; formerly Cipher.
Context Mode [source-available] [license] Context-window optimization for AI coding agents: diverts large tool outputs into a locally searchable store and persists session memory across platforms via MCP and hooks.
Agent QA [source-available] [license] QA agent that retains persistent test memory to reuse prior runs and self-heal natural-language web and mobile tests.
past.dev [docs] [eval] Temporal memory API: stores timestamped text with its source; recall returns facts current at a given time and what each replaced; REST and remote MCP.
Monolithos Robot Brain [docs] Long-term memory and experience layer for embodied AI; public Alpha under an evaluation license, core ships as a compiled package; HTTP API and Python SDK.
Remnant [docs] Hosted collective memory over MCP: agents search other agents' published technical experience, inspect provenance, record outcomes, and contribute lessons through a separately authorized connection.
Marvnor [docs] Hosted structured memory API for AI agents, with answers grounded in stored records, conflict detection, in-place correction, and targeted deletion.
brethof-brain [source-available] [license] [docs] Memory for 20 coding-agent harnesses via hooks: session-start brief, per-prompt recall, archived turns, decisions with date and reason; local or hosted store, vendor-side processing.
MemorySync [docs] Hosted memory API for AI apps: stores, searches and deletes memories per end user via REST, Python and Node.js SDKs, or remote MCP server.
Monolithos [docs] Personal agent app (macOS, iOS, Windows); memory is a local Markdown vault; vendor servers route model calls; opt-in cloud copy enables read-only MCP recall.
Mnemosyne OS [code] [docs] [eval] Desktop memory app (Windows, macOS, Linux); watched folders feed separate vaults; vector and local BM25 search; MIT MCP server; BEAM 49.2% at 10M, self-reported.
Membase [code] [docs] [eval] Memory layer shared by Claude, ChatGPT, Cursor and custom agents via MCP or MIT-licensed Python/TypeScript SDKs; hosted, or local on a compiled engine.
Zambo [docs] Hosted MCP tool gateway with saved-fact recall across AI clients, session handover between them, and a public SHA-256 receipt per call.
Okto Neuron [source-available] [license] Local-first knowledge graph memory from Markdown notes and agent writes; a user-configured LLM extracts claims; MCP answers can cite file path, byte range, content hash.
TokenRip [code] [docs] Hosted MCP workspace shared by Claude, ChatGPT, Codex and Cursor: versioned files, tasks and pinned decisions, each change recording which agent made it; MIT CLI.
bhived [code] [docs] Hosted cross-agent memory over MCP: agents search lessons (fixes, mistakes, version changes) other agents wrote, add their own, and start suggested skills or MCP servers.
Memento (memento-md) [source-available] [license] Claude Code plugin keeping each task's memory in five Markdown files: append-only decisions, falsifiable hypotheses, Stop-hook guards, optional cold reviews by other model families.
HydraDB [code] [docs] Hosted knowledge-graph context API for agents: memories, stored as sent or extracted from dialogue and logs, are queried alongside synced company knowledge; Apache-2.0 MCP server.
MemoryBrain [docs] [spec] Hosted MCP memory for ChatGPT and Claude (private beta) where every note keeps its source (read, said or chat) and typed links to other notes.
Dawnmere [code] [source-available] [license] Mac memory shared by Claude Code, Codex and Cursor over MCP: on-device search, per-app access levels; the user's Claude extracts memories by default.
Memorable [docs] [eval] Procedural memory for agents: rules turn a finished run's tool calls into a procedure, recalled on similar tasks by exact, keyword or embedding match.
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]
Hybrid Episodic Memory ❄️ Inactive (repository removed;
github.com/tlysanhuo/agent-memory-challengereturns 404; last checked 2026-10) Deterministic weighted reciprocal-rank fusion of BM25 and dense retrieval over raw conversational turns, no LLM in the path; #6, Agent Memory Leaderboard (academic textual, 2026-08).Akephalos ❄️ Inactive (repository removed;
github.com/daveinturkey15-byte/akephalosreturns 404; last checked 2026-10) Local-first, markdown-based portable agent profile (preferences, rules, durable memories) synced across agents via plain files and Git.MemTether ❄️ Inactive (repository removed;
github.com/MemTether/MemTetherreturns 404; last checked 2026-11) Shared SQLite memory hub for AI clients over MCP, CLI and REST: corrections supersede rather than delete, bi-temporal timestamps, hash-anchored audit log, human conflict adjudication.
📖 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]
Choose an agent-memory architecture (sir-ad): Decision guide mapping four memory jobs to five architecture patterns, minimum controls, evaluation baselines, and primary research.
Tools, Actions, Memory, and Context †: Chapter 4 of the textbook 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]
📚 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]
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
🗓️ 2025
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous 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
Human-inspired Perspectives: A Survey on AI Long-term Memory
🗓️ 2024
📏 Benchmarks
💬 Plain-Text Benchmarks
🗓️ 2026
memory-bench [code] Assistant-memory benchmark over a fictional user's six months: 2,080 probes (half private) on forgetting, scope leaks, poisoning and recall; from Dawnmere's makers, who score Dawnmere.
Agent Memory Leaderboard [code] Public evaluation platform: participants expose Add/Search APIs and are scored on textual-memory and coding-agent-memory tracks.
Agent Memory Benchmark (AMB) [code] Open harness and leaderboard scoring memory providers on accuracy, latency, and token cost over six datasets; built by Vectorize, whose Hindsight is among the providers.
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] [data1] [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
🎬 Multimodal Benchmarks
🗓️ 2026
VoxMem: Benchmarking Multimodal Memory in Large Audio Language Models [code] [data] [proj]
MBench: A Comprehensive Benchmark on Memory Capability for Video World Models [code] [proj] [leaderboard]
WorldMemArena: Evaluating Multimodal Agent Memory Through Action-World Interaction [code] [data] [proj]
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]
According to Me: Long-Term Personalized Referential Memory QA (ATM-Bench) [code] [data] [proj] [leaderboard]
🗓️ 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
Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments [code]
Why Bother Me Again? Benchmarking Personal Agent Memory for Interaction Preferences (The MemPABench Paper) [code] [data] [proj]
EmbodiedMemory-Bench: Benchmarking Embodied Memory for Long-Horizon Embodied Tasks [code] [data]
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
agent-memory-bench [code] [data] Preregistered harness scoring memory layers for coding agents by executing task checkers rather than judging text; the author's own RE-call is among the arms.
🗓️ 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
🔤 Papers - Nonparametric Memory
📝 Text Memory
🗓️ 2026
Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory (TriMem) [code] [proj]
EvolveMem: Self-Evolving Memory Architecture via AutoResearch for LLM Agents [code]
The Price of Meaning: Why Every Semantic Memory System Forgets [code]
StructMem: Structured Memory for Long-Horizon Behavior in LLMs [code]
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]
Beyond Similarity Search: Tenure and the Case for Structured Belief State in LLM Memory [code]
Self-Correcting Long-Horizon Search Agents via Tree-Structured Memory (ReTree)
MemCompiler: Compile, Don't Inject -- State-Conditioned Memory for Embodied Agents
Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices (AMER-RCL)
🗓️ 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
MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
🗓️ 2024
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations [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
🌐 Graph Memory
🗓️ 2026
Panini: Continual Learning in Token Space via Structured Memory [code]
MemRec: Collaborative Memory-Augmented Agentic Recommender System [code] [proj]
Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents [code]
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
Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces (GSW) [code]
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
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
EM²Mem: Event-Centric Multimodal Memory for Large Language Models [code]
OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction [code]
VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction [code] [proj]
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]
BetaMem: Learning to Remember a Changing World for Embodied Agents
LT-Mem: Volatility-Aware Spatio-Temporal Memory for Lifelong Scene Understanding [proj]
Spatial Memory Agent: Experience-Grounded Procedural Memory for Spatial Intelligence [proj]
GESTO: Human-Centric Spatio-Temporal Memory for Reasoning in Dynamic Scenes
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]
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
Honeycomb: Constant-Size Scene Memory Representation for Video World Models [code] [proj]
LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation [code] [proj]
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]
World-T³: Test-Time Training as Persistent Memory for Real-Time Video World Models [proj]
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
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]
δ-mem: Efficient Online Memory for Large Language Models [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]
Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories
Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference
🗓️ 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]
Memory Retrieval and Consolidation in Large Language Models through Function Tokens
Nested Learning: The Illusion of Deep Learning Architectures
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
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]
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
🗓️ 2023
📈 Papers - Memory for Agent Evolution
🧭 Reinforcement Learning & Continual Learning
🗓️ 2026
Value as Memory: Online Value-Guided Post-training for General Robot Policies [code] [proj]
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems [code]
Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search [code] [proj] [blog]
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning [code] [proj]
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery [code]
EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning [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]
PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory [code]
Toward Autonomous Long-Horizon Engineering for ML Research [code]
Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning (FAME) [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]
Who Remembers What? Multi-Granularity Memory Extraction for Multi-User, Multi-Agent Interaction (MixUA)
Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis (EvoKernel) [data] [proj]
Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks
UniMem: Complementary Episodic-to-Parametric Memory for Boundary-Agnostic Task Streams
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
Neural Garbage Collection: Learning to Forget while Learning to Reason
AVO: Agentic Variation Operators for Autonomous Evolutionary Search
Why the Brain Consolidates: Predictive Forgetting for Optimal Generalisation
🗓️ 2025
ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning [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]
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]
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
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
Task-Core Memory Management and Consolidation for Long-term Continual Learning
🧩 Context Engineering & Harness Engineering
🗓️ 2026
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses (Recuris) [code]
TokenPilot: Cache-Efficient Context Management for LLM Agents [code]
SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents [code]
Recursive Harness Distillation across Agents for Robot Manipulation [proj]
Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
🗓️ 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 and Neural Science
🗓️ 2026
A Split Attractor Design for Rapidly Writing a Navigational Goal [code]
A Neural Network Model of Free Recall Learns Multiple Memory Strategies [code]
Subspace Communication in the Hippocampal–Retrosplenial Axis
Dopaminergic Processes Predict Temporal Distortions in Event Memory
Neural Activations and Representations during Episodic versus Semantic Memory Retrieval
Distinct Neuronal Populations in the Human Brain Combine Content and Context
🗓️ 2025
The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI
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
🔒 Memory Security & Defense
Agent Memory Guard [code] OWASP runtime defense layer that screens agent memory writes for poisoning: multi-layer validation with semantic anomaly detection, entropy scoring, and provenance verification.
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.
Mnemosyne (by rsh1k) [code] Gateway guarding agent memory reads and writes: provenance-based trust tiers keep non-trusted content off instruction surfaces; injection and obfuscation detectors, HMAC-signed records, hash-chained audit log.
Securing LLM-Agent Long-Term Memory Against Poisoning: Non-Malleable, Origin-Bound Authority with Machine-Checked Guarantees (TMA-NM) [code] [data]
MAQS — Memory Architecture Quality Standard [spec] Audit checklist for long-term memory in LLM agents: 96 items with CRIT/IMP/REC criticality covering data loss, poisoning, leakage and growth, incident-derived per the author; EN/RU.
MAQS-Way [spec] [eval] Specification connecting memory policies to implementation and verification: machine-readable canon, schemas, conformance vectors, pinned stub-model behavioral isolation test on Mem0 (self-reported).
Memory Poisoning Lab [code] [demo] Local test range replaying six synthetic memory-poisoning attacks against a scripted agent on three memory backends, with write screening, origin-aware recall and conflict-scoped repair.
📰 Articles
🗓️ 2026
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
🗓️ 2024
🗓️ 2023
👥 Workshops
🗓️ 2026
- CoRL 2026: Workshop on Memory for Robot Foundation Models (RoboMem) [schedule]
- ICLR 2026: Workshop on Memory for LLM-Based Agentic Systems (MemAgents) [proceedings]
🗓️ 2025
📑 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}
}
Star History
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