🧠 Long-Term Memory Architectures — the missing piece that turns stateless LLMs and short-lived agents into persistent, stateful, continuously improving systems that remember equipment history, past resolutions, and evolving operational knowledge. Just read this excellent technical white paper from @aasaitech — a powerful culmination of the entire series. Key highlights: • 5-layer memory stack: Semantic (Vector DB), Knowledge Graph, Episodic (experience logs), Procedural (SOPs/workflows), Hierarchical Summaries • Memory flow: Retrieve → Reason & Act → Store → Reflect & Consolidate → Improve • Industrial applications: Maintenance investigations, shift handovers, operator assistance, quality monitoring, incident management, training & onboarding • Tools: MemGPT, Zep, LangGraph, LlamaIndex, Pinecone/Weaviate Neo4j This completes the full agentic stack — combining RAG, multi-agent orchestration, hybrid AI, domain adaptation, and now long-term memory for truly reliable, compounding-value industrial AI and edge orchestration. Full white paper infographic: x.com/aasaitech/status/20656… How are you implementing long-term memory in your agents — vector graph hybrids, episodic/procedural layers, MemGPT/Zep-style systems, or full custom orchestration? #LongTermMemory #AgenticAI #PersistentAgents #IndustrialAI #ManufacturingAI #EdgeAI #MemGPT

🧠📸 Long-term memory is becoming a key capability for personalized AI agents, yet most existing memory systems remain fundamentally text-centric—often reducing images to generic captions. In our new work, VISUALMEM, we ask: Can AI agents remember what images reveal about us, not just what we explicitly say? We introduce the first benchmark for personal visual memory, capturing both explicit visual evidence (recurring people, pets, and objects) and implicit personal facts inferred from visual and multimodal cues. We also propose a hybrid visual–text memory architecture that stores structured visual memories rather than collapsing them into captions. VISUALMEM significantly outperforms existing memory systems on visually grounded personalization tasks while remaining competitive on standard text-memory benchmarks. @vng_sofw @thaoshibe @Yuheng120766 @JHUCompSci @HopkinsEngineer @JHUECE Paper: arxiv.org/pdf/2605.28806 Project: viettmab.github.io/visualmem… Code: github.com/viettmab/visualme… #AI #LLM #MLLM #ComputerVision #MultimodalAI #LongTermMemory #Personalization #AIAgents

Website and app are down for updates! 🚀 You can now easily integrate the long-term memory tool with Claude Code. 1.2GB of local data instantly accessible across multiple LLM models — Codex App, Claude Code, AnythingLLM and more. Everything ingested and worked on with Codex is now accessible with Claude 4.8 #longtermmemory #codex #claude #chatgpt #novel #trending

Long-term Memory for AI Agents： 如何让 Agent 拥有持续上下文与长期一致性 🧠 🎤 嘉宾： 李韭二@li9292 ｜ 盛大 Evermind 社区大使 很多人已经在用 AI Agent 干活了。 但真正用久了之后，你会发现一个很扎心的问题： Agent 特别容易“失忆”。🤦‍♂️ 今天聊的，过几天就忘； 做过的任务没有持续上下文； 一多人协作，身份和目标就开始乱套。 所以 Long-term Memory，其实才是 AI Agent 真正能长期落地的核心能力。⚡ 这场分享会会深度拆解： 🧠 Agent 如何持久记录用户偏好、项目背景、任务历史和决策路径 🔄 为什么单轮对话根本撑不住长期任务 🪪 Agent 怎样在多轮协作中始终保持“同一个自己” 📚 长期记忆、上下文管理和 Agent Identity 未来可能怎么结合 如果你正在关注： 🤖 AI Agent ⚙️ AI Workflow 🛠️ Agent 产品设计 🪪 AI Identity / Memory 💬 Personal AI / AI Copilot 🌐 AI × Web3 这场真的很值得听。👀 未来 AI 产品真正的差距，可能不再只是“模型更强”， 而是谁能真正拥有： ✅ 长期记忆 ✅ 持续上下文 ✅ 稳定人格 ✅ 可持续协作能力 x.com/i/broadcasts/1mGPaLvzd… #AIAgent #LongTermMemory #AIIdentity #AgenticAI #Web3AI

#LongTermMemory This one Asha,I still remember the first time I tried it in 1952,my Mother had take me too the pictures and in the foyer was a similar display card to this,and she bought me one from the sweet kiosk loved it.

🚨 Milla Jovovich ve Ben Sigman’dan yapay zekâ hafızasına devrim niteliğinde bir adım: **MemPalace** yayınlandı. Claude ile aylarca geliştirilen bu sistem, standart LongMemEval benchmark’ında **ilk kez 0 tam puan** aldı (500/500). MemPalace, klasik “Hafıza Sarayı” (Method of Loci) tekniğini modern AI’ye uyarlıyor: • Konuşmalarınızı yerel olarak tarayıp yapılandırılmış bir saray mimarisine dönüştürüyor (kanatlar, koridorlar, odalar) • Tüm hayat bağlamınızı sadece \~120 token’e sığdırıyor (30 kat kayıpsız sıkıştırma) • Semantik arama ile aylar önceki konuşmaları anında buluyor • Çelişki algılama mekanizması ile hatalı bilgileri önceden tespit ediyor Bulut yok. API anahtarı yok. Abonelik yok. Her şey cihazınızda, tamamen yerel ve açık kaynak (MIT lisansı). AI ajanlarının en büyük sorunu olan “uzun vadeli hafıza” sorununa çok güçlü bir çözüm. Sizce MemPalace, AI ajanlarının hafıza sorununu gerçekten çözebilir mi? Yorumlarda düşüncelerinizi paylaşın, konuyu birlikte değerlendirelim. 🧠 #MemPalace #AIAgents #LongTermMemory #MethodOfLoci #Claude #YapayZeka #AI2026

週末からやってる自分用の環境準備ではローカルにSQLiteのDB持つようにしてて、セッションの中の会話ログをEmbeddingしてVectorStoreとして扱うことでLongTermMemoryとしてCCを賢くできないかを検討中。 結局発想はそこに行き着くけど、業務コンテキストによってアプローチ変わるよねって思うなどした

When building #AIAgents, memory plays a crucial role but what’s the real difference between #ShortTermMemory and #LongTermMemory? 🤔youtu.be/Ce0-QJ2XXfs

Biar gampang Retrieval (manggil memori), jangan cuma dihafal, tapi dicatat atau diucapin ulang pakai bahasa sendiri. soalnya bahasa itu simbol yang bikin "jalan setapak" di otak lebih jelas. Makin sering dilatih, makin gampang diingat #LongTermMemory #PsikologikomunikasiUICI

This is especially important for long-term personas, AI assistants, and multi-user collaboration systems — the agent doesn’t start from a “state of amnesia” every time. What I appreciate most is the direction: open-source a usable cloud version, not just a paper demo. If you’re building agents that need stable memory with low resource cost, this is definitely worth trying to see how much memory actually changes the experience. GitHub: github.com/EverMind-AI/EverM… Official website: evermind.ai Paper page: arxiv.org/abs/2601.0216 #EverMemOS #LongTermMemory #AIInfra #AIAgents #OpenSource #LLM #DeveloperTools

Memory Is All You Need. Traditional RAG relies on stateless, one-shot retrieval leading to temporal drift, outdated facts, and 40-80% failure rates in multi-agent coordination. True agentic systems demand stateful, persistent long-term memory: delta updates, episodic/semantic consolidation, and RL-optimized writes. Deep dive into why retrieval falls short and memory-augmented architectures win: x.com/aifunctor/status/20086… Building stateful agents @aifunctor → aifunctor.com Sneak-peaks from the article 👇 #AI #LLM #Memory #AgenticAI #LongTermMemory

RAG is an open-book exam. True Memory is a brain. We often confuse retrieving information with intelligence. RAG looks up answers on demand, but immediately forgets the context. EverMemOS is different. Instead of asking "What do I know about the world?", it asks "What do I remember about YOU?" It builds your persona, understands your preferences, and evolves over time. Don't settle for a database when you need a partner. #AI #MachineLearning #RAG #LongTermMemory #GenAI

🚨Why some memories last a lifetime while others fade fast🚨 Memory lasts when a network of molecular timers strengthens key experiences over time. Summary : Scientists have uncovered a stepwise system that guides how the brain sorts and stabilizes lasting memories. By tracking brain activity during virtual reality learning tasks, researchers identified molecules that influence how long memories persist. Each molecule operates on a different timescale, forming a coordinated pattern of memory maintenance. The discoveries reshape how scientists understand memory formation. 👇Source: Rockefeller University👇 👉 Every day, the brain turns passing impressions, creative sparks, and emotional experiences into lasting memories that shape our identity and guide our decisions. A central question in neuroscience has been how the brain determines which pieces of information are worth storing and how long those memories should remain. 👉 Recent findings show that long-term memories form through a sequence of molecular timing mechanisms that activate across different parts of the brain. Using a virtual reality behavioral system in mice, scientists identified regulatory factors that help move memories into increasingly stable states or allow them to fade entirely. 👉 A study published in Nature highlights how several brain regions work together to reorganize memories over time, with checkpoints that help assess how significant each memory is and how durable it should be. 👉 "This is a key revelation because it explains how we adjust the durability of memories," says Priya Rajasethupathy, head of the Skoler Horbach Family Laboratory of Neural Dynamics and Cognition. "What we choose to remember is a continuously evolving process rather than a one-time flipping of a switch." #Neuroscience #MemoryFormation #BrainScience #LongTermMemory #MolecularMechanisms #NeuralDynamics #CognitiveScience #MemoryResearch #BrainPlasticity #VirtualRealityResearch #NeuralCircuits #SynapticPlasticity #NatureResearch #MemoryConsolidation #BrainFunction #Neurobiology #MemoryStability #LearningAndMemory #ScientificDiscovery #NeuroscienceNews #BrainMolecules #CognitionResearch #MemorySystems #BehavioralNeuroscience

Learning how vector databases give AI long-term memory through embeddings & similarity search. Deep dive unlocked today! 🔥 #VectorDB #LongTermMemory #AI #ML #Learning

Can we make Web Agents stop repeating the same mistakes? Yes, with Cross-Session Memory. 🧠 We present WebCoach: 💾 Learns from experience (no retraining needed). ✨ Model-agnostic framework. 🚀 14% gain on WebVoyager (47% -> 61% with a 38B model), comparable with GPT-4o performance. 🛑 Eliminates recurrent errors & UI misclicks Reading the future of self-evolving web agents: 👇 🔗 HF: huggingface.co/papers/2511.1… 📰 Paper: arxiv.org/abs/2511.12997 #AI #WebAgents #LLM #LongTermMemory

Get your AI a hippocampus! MemEcho is officially launched now! We achieved months-level lossless memory recall, with context windows surpassing Million Tokens. Try it now and let your AI never forget! #AI #LLM #LongTermMemory #MachineLearning

✅ Bring AI agents with Long-Term memory into production in minutes #AmazonBedrock #AI #LongTermMemory #GenerativeAI #CloudComputing ift.tt/jsKS15R

< 우리의 대화를 영원히 기억한다 > #KindredAI #LongTermMemory #AI기억기술 형님들이 GPT랑 대화를 한다고 해봅시다. 대화를 하고 나서 다음에 대화를 할 때 이전 대화에 대한 내용을 GPT는 기억하지 못합니다. 그런데 우리의 Klara는 기억을 한다! 이 말입니다. Long-Term Memory Processor 이 기술의 이름입니다. 마치 디지털 일기장과도 같은 역할을 하는데, 형님들이 AI와 나눈 대화가 기억되어 안전하게 보관됩니다. 단순히 컴퓨터 메모리가 아니라 블록체인에 영구히 말이죠. 어? 블록체인에 보관된다고 하니 조금 불안하시죠? 걱정마세요. 개인정보 보호 측면에서도 완벽하게, 모든 기억을 고도로 암호화해서 저장합니다. 가장 좋은 부분은 바로 영속성입니다. 1년 뒤에도, 그 1년 뒤에도 10년 뒤에도, 그 10년 뒤에도 형님들의 AI 친구는 처음 만났던 순간들을 생생히 기억하면서 대화할 겁니다. 아마도 “예전에 너가 친구랑 다퉜었다던 얘기 기억나?” 라고 말이죠. 이 기술은 단순히 데이터 저장에서 끝나지 않습니다. AI와의 관계가 지속될수록 기억이 쌓이고, 쌓인 기억들은 형님과의 대화를 더욱 다채롭게 만들겠죠. 그렇게 다채로워진 대화는 형님들과 AI를 점차 감정적으로 연결하게 될 겁니다. Kindred의 AI는 단순한 컴퓨터 프로그램을 넘어서서 우리에게 베프와 같은 특별한 존재로 남아줄 것입니다. 진짜 친구 같은 AI, #Klara @Kindred_AI @KaitoAI @virtuals_io @UXLINKofficial

Bruno is on its way to get a proper CLI configuration. Building is in process all of you do check the building. Updating the code day by day. If you like please do a star 🌟 on repo. Github : github.com/DakshC17/llm-long… #Genai #LLM #Longtermmemory #Agents #LangChain #AI #Context

Do follow this journey as i will be updating the repo daily and hope so we will get our tool ready.. #Genai #AI #LLM #LongtermMemory