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AI Memory

55 articles · Page 1 of 1
ByteDance SE Lab
ByteDance SE Lab
Oct 23, 2026 · Artificial Intelligence

OpenViking Gateway: Enable Agentic Memory for Any AI Client Without Plugins

The OpenViking Gateway sits between AI clients and model services, automatically retrieving and saving conversation memories so clients like Claude Code, Codex CLI, and Cherry Studio gain persistent memory without plugins—just change Base URL and API Key. It supports local or hosted deployment, provides a Studio UI for configuration, and handles multi-step tool calls transparently.

AI MemoryClaude CodeConfiguration
0 likes · 24 min read
OpenViking Gateway: Enable Agentic Memory for Any AI Client Without Plugins
Big Data and Microservices
Big Data and Microservices
Sep 11, 2026 · Artificial Intelligence

Models Change Fast, Memory Lasts Forever: The Real AI Moat

This article argues that AI models are transient compute resources while user memory is a persistent asset, analyzing MemVerge's MemoryBox as a local-first memory layer that separates memory from models, enables multi-model scheduling, and addresses data sovereignty amid the shift to edge AI.

AI MemoryMemVergeMemoryBox
0 likes · 15 min read
Models Change Fast, Memory Lasts Forever: The Real AI Moat
Geek Labs
Geek Labs
Aug 14, 2026 · Artificial Intelligence

How a Fully Local AI Memory System (MemoMind) Gives AI a Brain That Never Forgets

MemoMind is a 100% local, GPU‑accelerated AI memory platform that builds a persistent knowledge graph from every interaction, enabling AI coding assistants to retain decisions, recall context across sessions, and reason over accumulated facts without exposing data to the cloud.

AI MemoryClaude CodeGPU acceleration
0 likes · 15 min read
How a Fully Local AI Memory System (MemoMind) Gives AI a Brain That Never Forgets
Machine Heart
Machine Heart
Jul 8, 2026 · Artificial Intelligence

When AI Starts Rewriting Itself: EverMind’s Raven Agent Redefines Digital Life

EverMind’s newly released Raven Agent, built on the EverOS memory OS, showcases a self‑evolving, proactive AI that internalizes user interactions, offers 100,000 vetted skills, and aims to transition digital agents from stateless tools to autonomous digital life, marking a shift in AI memory and industry dynamics.

AI MemoryAgent OSDigital Life
0 likes · 18 min read
When AI Starts Rewriting Itself: EverMind’s Raven Agent Redefines Digital Life
Machine Heart
Machine Heart
Jul 4, 2026 · Artificial Intelligence

Is RAG Doomed? Exploring Paths to True AI Memory and Continuous Learning

The article examines why Retrieval‑Augmented Generation (RAG) remains an external memory workaround, outlines its three fundamental drawbacks, compares it with internalized knowledge in large models, and discusses how human‑brain‑inspired offline digestion could guide the next generation of continuously learning AI systems.

AI MemoryContinuous LearningKnowledge Retrieval
0 likes · 7 min read
Is RAG Doomed? Exploring Paths to True AI Memory and Continuous Learning
AI Architecture Path
AI Architecture Path
Jul 2, 2026 · Artificial Intelligence

How Cognee’s Single‑Postgres AI Memory Outperforms Traditional RAG (23K+ Stars)

Cognee is an open‑source AI memory platform that combines vector embeddings and knowledge‑graph reasoning on a single Postgres database, delivering dual retrieval, automatic ontology generation, and BEAM benchmark scores up to 0.8—more than double traditional RAG—while offering multi‑language SDKs and flexible deployment options.

AI MemoryKnowledge GraphOpen Source
0 likes · 15 min read
How Cognee’s Single‑Postgres AI Memory Outperforms Traditional RAG (23K+ Stars)
DataFunSummit
DataFunSummit
Jun 26, 2026 · Artificial Intelligence

Why Memory Is the Bottleneck for AI Agents and How MemOS Boosts Performance by Over 200%

The article explains how memory has become the decisive factor for AI agents, details the MemOS framework’s five‑layer architecture and three‑layer memory coordination, compares model‑driven and application‑driven approaches, and shows how MemOS‑powered cloud services achieved 100‑200% monthly growth, 45‑72% token savings, and up to 50% reduction in overall token consumption.

AI MemoryMemOSMemory Systems
0 likes · 18 min read
Why Memory Is the Bottleneck for AI Agents and How MemOS Boosts Performance by Over 200%
DataFunSummit
DataFunSummit
Jun 24, 2026 · Artificial Intelligence

Three Forms of Large Model Memory – Parameter, Token, and Latent – Why Top Companies Are All‑In

A new paper unifies AI memory research with a three‑dimensional framework (Forms, Functions, Dynamics), classifies memory as parameter‑level, token‑level, or latent‑space, and evaluates real‑world implementations from OpenAI, Google, Amazon and dozens of open‑source frameworks, highlighting trade‑offs such as retrieval quality, catastrophic forgetting and forgetting mechanisms.

AI Memoryagent architectureframework comparison
0 likes · 19 min read
Three Forms of Large Model Memory – Parameter, Token, and Latent – Why Top Companies Are All‑In
Machine Heart
Machine Heart
Jun 24, 2026 · Industry Insights

Karpathy Backs Engram: AI Memory Startup Aiming for Persistent Enterprise Knowledge

Engram, a newly announced AI memory startup backed by investors such as General Catalyst, Kleiner Perkins, Sequoia and advisors including Andrej Karpathy, aims to move beyond temporary context retrieval by building a continuous‑learning memory layer that lets models absorb and recall enterprise‑specific knowledge, contrasting with typical RAG or long‑context methods.

AI MemoryContinuous LearningEnterprise AI
0 likes · 6 min read
Karpathy Backs Engram: AI Memory Startup Aiming for Persistent Enterprise Knowledge
FunTester
FunTester
Jun 24, 2026 · Artificial Intelligence

What Should Claude‑mem Remember? Practical Guidelines for Effective Long‑Term Memory

The article explains that Claude‑mem’s long‑term memory should store high‑value, decision‑impacting knowledge rather than raw chat logs, outlines six categories of information worth remembering, three types to avoid, and provides concrete formats and cleanup practices to keep the memory useful for future AI‑assisted development.

AI MemoryClaudeClaude-Mem
0 likes · 14 min read
What Should Claude‑mem Remember? Practical Guidelines for Effective Long‑Term Memory
DataFunSummit
DataFunSummit
Jun 19, 2026 · Artificial Intelligence

Why Memory Bottlenecks AI Agents: Inside MemOS Architecture and 200% Cloud Usage Surge

The article analyzes how memory has become the critical bottleneck for AI agents, compares model‑driven and application‑driven memory approaches, details the five‑layer MemOS framework, reports cloud service call growth of over 200% and token‑cost reductions of up to 72%, and shows real‑world enterprise deployments such as OpenClaw and ClawForce.

AI AgentsAI MemoryMemOS
0 likes · 16 min read
Why Memory Bottlenecks AI Agents: Inside MemOS Architecture and 200% Cloud Usage Surge
Alipay Experience Technology
Alipay Experience Technology
Jun 18, 2026 · Artificial Intelligence

Building a Hippocampus for AI: Brain‑Inspired Memory Achieves SOTA

The open‑source Hebb Mind project replicates the brain’s encode‑consolidate‑activate‑forget loop in engineering, replacing simple storage‑retrieval approaches with a four‑stage memory cycle, and demonstrates state‑of‑the‑art performance on LongMemEval and LoCoMo benchmarks while running locally without external services.

AI MemoryAgent MemoryHebb Mind
0 likes · 13 min read
Building a Hippocampus for AI: Brain‑Inspired Memory Achieves SOTA
AntData
AntData
Jun 12, 2026 · Artificial Intelligence

Rethinking AI Memory: From Raw Ledger to Policy‑Driven Closed Loop

The article argues that AI memory is not mere storage but an external state that feeds decisions, proposes three core propositions—Memory as decision‑usable external state, a minimal closure of Raw Ledger + Views + Policy, and event sequences as the fundamental unit—and details how a System 1 + System 2 architecture, non‑parametric designs, temporal handling, and learnable policies together shape the practical limits of modern agentic memory systems.

AI MemoryRetrieval Augmentationagent architecture
0 likes · 42 min read
Rethinking AI Memory: From Raw Ledger to Policy‑Driven Closed Loop
Data Party THU
Data Party THU
Jun 11, 2026 · Artificial Intelligence

GBrain’s 14K‑Star Open‑Source System Solves AI Agent Forgetting

GBrain, the open‑source AI agent memory platform with over 14,000 GitHub stars, uses a three‑layer architecture—Markdown‑based truth source, hybrid retrieval with PGLite, and 34 skill workflows—to eliminate agent forgetting, achieve a 31.4% retrieval boost, and provide Python integration via the MCP protocol, while outlining practical deployment pitfalls.

AI MemoryGBrainKnowledge Graph
0 likes · 17 min read
GBrain’s 14K‑Star Open‑Source System Solves AI Agent Forgetting
DataFunTalk
DataFunTalk
Jun 7, 2026 · Artificial Intelligence

ChatGPT’s Dreaming V3 Memory Upgrade: Free for a Billion Users

OpenAI unveiled Dreaming V3, a new memory architecture that lets ChatGPT silently replay and consolidate daily conversations, achieving 82.8% context recall, 71.3% preference compliance, five‑fold compute savings, and free access for billions while offering a transparent memory‑summary interface.

AI MemoryChatGPTDreaming V3
0 likes · 9 min read
ChatGPT’s Dreaming V3 Memory Upgrade: Free for a Billion Users
AI Architecture Path
AI Architecture Path
Jun 7, 2026 · Artificial Intelligence

How TencentDB Agent Memory Boosts Recall by 167% and Redefines Agent Context Management

The article examines the inherent limits of traditional AI context memory, surveys three common memory implementations, introduces TencentDB Agent Memory's hierarchical long‑term and symbolic short‑term architecture, presents benchmark gains (recall up to 167% and token savings over 60%), and provides step‑by‑step deployment and optimization guidance.

AI MemoryAgent ContextLong-Term Memory
0 likes · 13 min read
How TencentDB Agent Memory Boosts Recall by 167% and Redefines Agent Context Management
AI Architecture Path
AI Architecture Path
Jun 5, 2026 · Artificial Intelligence

Supermemory Tops Three Authority Benchmarks, Solving AI Forgetting

Supermemory, the open‑source AI memory engine, eliminates repeated forgetting by offering a zero‑configuration, multi‑modal memory layer that tops LongMemEval, LoCoMo and ConvoMo benchmarks, integrates automatic learning, mixed RAG‑Memory search, built‑in connectors, privacy tags, and multiple deployment options from no‑code web to local offline versions.

AI MemoryOpen SourceRAG
0 likes · 14 min read
Supermemory Tops Three Authority Benchmarks, Solving AI Forgetting
Design Hub
Design Hub
May 24, 2026 · Artificial Intelligence

How Claude’s New Memory System Turns AI Agents into Self‑Organizing Assistants

Claude’s latest memory and Dreaming features combine cross‑session memory, project workspaces, persistent memory files, and a background “Dreaming” organizer, shifting AI agents from forgetful bots to systems that selectively retain useful experience, reduce rework, and behave more like human assistants.

AI MemoryClaudeCross-Session Memory
0 likes · 10 min read
How Claude’s New Memory System Turns AI Agents into Self‑Organizing Assistants
DataFunSummit
DataFunSummit
May 22, 2026 · Artificial Intelligence

Why Memory Is the Bottleneck for AI Agents and How MemOS Achieves 200% Cloud Call Growth

The article analyses how memory has become the critical limitation for AI agents, details the MemOS framework’s five‑layer architecture that fuses model‑driven and application‑driven approaches, presents cloud service usage surging over 200%, and explains how these advances address scalability, privacy, and performance challenges in enterprise deployments.

AI MemoryCloud AI servicesKnowledge Retrieval
0 likes · 18 min read
Why Memory Is the Bottleneck for AI Agents and How MemOS Achieves 200% Cloud Call Growth
James' Growth Diary
James' Growth Diary
May 18, 2026 · Artificial Intelligence

Turning AI’s Short‑Term Memory into a Persistent Knowledge Base with memdir

This article examines Claude Code’s memdir system, explaining how it transforms fleeting AI conversation context into a durable, file‑based knowledge base by using markdown files as memories, a lightweight index, AI‑driven relevance selection, parallel prefetching, and careful type‑specific guidelines.

AI MemoryClaude CodeKnowledge Base
0 likes · 17 min read
Turning AI’s Short‑Term Memory into a Persistent Knowledge Base with memdir
Data Party THU
Data Party THU
May 17, 2026 · Artificial Intelligence

Personalizing AI Agents: Memory, Rolling Context, and Advanced Retrieval Techniques

The article explains how AI agents use memory to retain conversation context, why sending the full history to large language models is inefficient, and presents rolling context windows, inverted‑index pruning, semantic embedding retrieval, and GraphRAG as complementary strategies to build more accurate and personalized agents.

AI MemoryGraphRAGLLM Optimization
0 likes · 10 min read
Personalizing AI Agents: Memory, Rolling Context, and Advanced Retrieval Techniques
Data Party THU
Data Party THU
May 11, 2026 · Artificial Intelligence

How a 1930‑Era AI Model Without Any Computer Knowledge Learned to Write Python

The talkie‑1930‑13b language model, trained exclusively on English texts published before 1931, surprisingly understands historical events, solves Python coding problems, and exhibits scaling‑law behavior, prompting a detailed comparison with its modern twin talkie‑web‑13b and an analysis of training pipelines, memory categories, and common deployment pitfalls.

AI MemoryLLMPython code generation
0 likes · 10 min read
How a 1930‑Era AI Model Without Any Computer Knowledge Learned to Write Python
DataFunSummit
DataFunSummit
May 4, 2026 · Artificial Intelligence

Best Practices for Persistent, Reliable AI Agent Memory: Insights from the ‘Memory in the Age of AI Agents’ Paper

The article analyzes the 2025 "Memory in the Age of AI Agents" paper, presenting its three‑dimensional classification of AI memory (Forms, Functions, Dynamics), comparing token‑level, parameter‑level and latent‑space approaches, evaluating major frameworks such as Mem0, Letta, Zep, ReMem, and offering concrete guidance on design, forgetting mechanisms, retrieval strategies, and future research directions.

AI MemoryAgentic AIlatent space memory
0 likes · 17 min read
Best Practices for Persistent, Reliable AI Agent Memory: Insights from the ‘Memory in the Age of AI Agents’ Paper
Architect's Must-Have
Architect's Must-Have
Apr 29, 2026 · Artificial Intelligence

Deep Dive into Hermes Agent: The Memory Architecture That Makes AI Smarter

This article provides a comprehensive technical analysis of Hermes Agent, detailing its layered memory system, persistent knowledge storage, skill generation, tool registry, prompt assembly, security model, deployment options, and how these components enable AI agents to continuously learn and improve their performance over time.

AI MemoryHermes Agentautonomous agents
0 likes · 52 min read
Deep Dive into Hermes Agent: The Memory Architecture That Makes AI Smarter
DataFunTalk
DataFunTalk
Apr 26, 2026 · Artificial Intelligence

How a Post‑00 Team Open‑Sourced OpenAI’s Chronicle Within 48 Hours

OpenAI’s Chronicle introduced paid screen‑reading and continuous memory for ChatGPT Pro, but within 48 hours a young developer team released OpenChronicle as an open‑source, locally‑run, model‑agnostic memory layer that reshapes AI interaction, sparks massive community discussion, and raises ownership questions.

AI MemoryAgentOpen Source
0 likes · 8 min read
How a Post‑00 Team Open‑Sourced OpenAI’s Chronicle Within 48 Hours
Machine Heart
Machine Heart
Apr 25, 2026 · Artificial Intelligence

How a Post‑00 Team Open‑Sourced OpenChronicle After OpenAI’s $100/Month Feature

OpenAI’s Chronicle introduced screen‑seeing, persistent AI memory behind a $100‑per‑month subscription, but within 48 hours a group of young developers released OpenChronicle as an open‑source, locally‑run, model‑agnostic memory layer that can be shared across agents, sparking a wave of community discussion and raising fundamental questions about control and ownership of AI memory.

AI MemoryAgentChronicle
0 likes · 8 min read
How a Post‑00 Team Open‑Sourced OpenChronicle After OpenAI’s $100/Month Feature
AI Architecture Path
AI Architecture Path
Apr 23, 2026 · Artificial Intelligence

MemPalace: Offline, Local‑First AI Memory System Built on a Memory‑Palace Architecture

MemPalace is an open‑source, local‑first AI memory library that stores raw conversation and project content without summarisation, uses a hierarchical "memory palace" structure for fast semantic retrieval, provides plug‑in retrieval back‑ends, knowledge‑graph support, and achieves the highest publicly reported offline benchmark scores.

AI MemoryKnowledge GraphOpen Source
0 likes · 17 min read
MemPalace: Offline, Local‑First AI Memory System Built on a Memory‑Palace Architecture
Big Data and Microservices
Big Data and Microservices
Apr 19, 2026 · Artificial Intelligence

Why Do AI Agents Forget? Understanding Short‑Term and Long‑Term Memory

This article explains how AI agents store information using short‑term (context window) and long‑term (vector database, RAG, knowledge graph) memory, illustrates the concepts with everyday analogies, and shows how proper memory design improves real‑world applications like customer service bots and personal assistants.

AI AgentsAI MemoryKnowledge Graph
0 likes · 6 min read
Why Do AI Agents Forget? Understanding Short‑Term and Long‑Term Memory
ArcThink
ArcThink
Apr 17, 2026 · Artificial Intelligence

Why AI Forgetting So Much? HyperMem’s Hypergraph Memory Sets New SOTA

The article analyzes why large language models struggle with long‑term memory, introduces the HyperMem hypergraph‑based memory system that organizes information in three hierarchical layers (topic, episode, fact), and shows it achieves 92.73% accuracy on the LoCoMo benchmark, surpassing GraphRAG, Mem0 and other prior methods.

AI MemoryHypergraphKnowledge Graph
0 likes · 20 min read
Why AI Forgetting So Much? HyperMem’s Hypergraph Memory Sets New SOTA
AI Explorer
AI Explorer
Apr 16, 2026 · Artificial Intelligence

Build an AI Agent Memory Engine with Just Six Lines of Code

The open‑source Cognee project lets developers give AI agents a dynamic, long‑term memory by combining vector search, graph databases and cognitive techniques, and it can be set up with only six lines of Python code, as demonstrated with a quick‑start example.

AI MemoryCogneeGraph Database
0 likes · 6 min read
Build an AI Agent Memory Engine with Just Six Lines of Code
Alibaba Cloud Native
Alibaba Cloud Native
Apr 14, 2026 · Artificial Intelligence

The Hidden Memory Crisis in AI Agents—and a Scalable Solution

AI agents often forget user intents after a few interactions, leading to poor experience and lost business, and while building a reliable memory system is technically feasible, teams face challenges in storage, retrieval, consistency, scalability, compliance, and operational overhead, which AgentLoop MemoryStore aims to solve with a serverless, enterprise‑grade architecture.

AI MemoryAgentLoopOpenClaw
0 likes · 21 min read
The Hidden Memory Crisis in AI Agents—and a Scalable Solution
Machine Heart
Machine Heart
Apr 14, 2026 · Artificial Intelligence

EverOS Global Beta Unveils Self‑Evolving Memory Layer for AI Agents

EverOS launches a global beta of its next‑generation memory infrastructure that lets autonomous agents automatically extract experience, cluster it semantically, and evolve reusable skills, boosting OpenClaw task success rates by up to 234.8% while addressing context‑window limits, multimodal retrieval, and developer transparency.

AI MemoryEverOSEvoAgentBench
0 likes · 21 min read
EverOS Global Beta Unveils Self‑Evolving Memory Layer for AI Agents
ShiZhen AI
ShiZhen AI
Apr 13, 2026 · Artificial Intelligence

Who Owns Your AI Memory? The Risks of Closed Agent Harnesses

The article explains that Agent Harnesses are essential for managing AI memory and context, argues that closed‑source harnesses give vendors control over user data, outlines three risk levels of memory lock‑in, and advocates open, user‑controlled harnesses such as OpenClaw and Deep Agents.

AI MemoryLangChainMemory Lock-in
0 likes · 14 min read
Who Owns Your AI Memory? The Risks of Closed Agent Harnesses
AI Engineering
AI Engineering
Apr 11, 2026 · Artificial Intelligence

GBrain: Open-Source AI Memory Engine that Gives OpenClaw and Hermes Long-Term Recall

GBrain, an open‑source AI memory hub created by YC partner Garry Tan, combines Postgres tsvector keyword search with pgvector semantic search via RRF, manages thousands of Markdown notes, and runs an automated nightly agent that refines and links memories, offering a practical long‑term recall layer for agents like OpenClaw and Hermes.

AI MemoryGBrainHermes
0 likes · 4 min read
GBrain: Open-Source AI Memory Engine that Gives OpenClaw and Hermes Long-Term Recall
Geek Labs
Geek Labs
Apr 10, 2026 · Artificial Intelligence

Boost AI Smarts and Cut Costs with Open‑Source Memory and Compression Tools

The article analyzes why AI chats are costly—repeating context each time—and presents two open‑source projects, mempalace and caveman, that together provide a large‑scale memory system and aggressive token compression, dramatically reducing token usage and expenses while preserving reasoning ability.

AI MemoryCavemanLLM efficiency
0 likes · 7 min read
Boost AI Smarts and Cut Costs with Open‑Source Memory and Compression Tools
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Mar 31, 2026 · Artificial Intelligence

How to Build a Production‑Ready AI Memory System with Mem0 and Elasticsearch

This guide explains how to overcome the stateless nature of large language models by using the Mem0 framework together with Elasticsearch to create a persistent, vector‑searchable memory layer, covering architecture, real‑world scenarios, step‑by‑step deployment, and integration with the OpenClaw agent framework.

AI MemoryElasticsearchLLM
0 likes · 15 min read
How to Build a Production‑Ready AI Memory System with Mem0 and Elasticsearch
Subtle Storm
Subtle Storm
Mar 30, 2026 · Artificial Intelligence

How OpenClaw’s Memory System Makes Your AI Truly Remember You

Many users see their OpenClaw AI forget rules and preferences after a restart because only conversational context is saved, but the guide explains OpenClaw’s four‑layer file‑based memory, the automatic 8‑file loading, Memory Flush protection, and three concrete best‑practice steps to keep the AI’s memory persistent.

AI MemoryKnowledge BaseLLM
0 likes · 11 min read
How OpenClaw’s Memory System Makes Your AI Truly Remember You
Architecture and Beyond
Architecture and Beyond
Mar 29, 2026 · Artificial Intelligence

Designing Efficient Memory for Claude Code: Typed Storage, Indexed Management, Triggered Retrieval, and Pre‑Use Validation

This article analyzes Claude Code's memory system, explaining how typed storage separates user, feedback, project, and reference data, how an indexed MEMORY.md file keeps the index lightweight, how triggered retrieval balances relevance, freshness, and reliability, and why pre‑use validation prevents stale or incorrect facts from contaminating model responses.

AI MemoryClaudepre‑use validation
0 likes · 17 min read
Designing Efficient Memory for Claude Code: Typed Storage, Indexed Management, Triggered Retrieval, and Pre‑Use Validation
SuanNi
SuanNi
Mar 23, 2026 · Artificial Intelligence

Can AI Agents Master Long-Term Memory? Supermemory’s Near‑99% Accuracy Breakthrough

The Supermemory team’s new ASMR (Agentic Search and Memory Retrieval) system achieves almost 99% accuracy on the LongMemEval benchmark by replacing vector‑database retrieval with parallel, specialized AI agents that ingest, search, and synthesize massive conversational histories entirely in memory, offering a potential solution to longstanding AI memory challenges.

AI MemoryASMRLLM Benchmark
0 likes · 8 min read
Can AI Agents Master Long-Term Memory? Supermemory’s Near‑99% Accuracy Breakthrough
DataFunSummit
DataFunSummit
Mar 23, 2026 · Artificial Intelligence

How to Build Long‑Term Memory for AI Agents: Foundations and Practical Techniques

This article explores the challenges and state of long‑term memory for AI agents, reviews mainstream industry solutions such as RAG, HRM, Titans and Engram, and proposes a four‑layer memory architecture with data acquisition, organization, utilization, and feedback loops to enable agents that remember and forget like humans.

AI MemoryLong‑Term MemoryModel Fine‑Tuning
0 likes · 12 min read
How to Build Long‑Term Memory for AI Agents: Foundations and Practical Techniques
PaperAgent
PaperAgent
Mar 6, 2026 · Artificial Intelligence

Unlocking AI Memory: A Comprehensive Survey of Theory, Architectures, and Future Trends

This extensive survey presents a panoramic view of AI memory, introducing a novel 4W classification, detailing single‑agent and multi‑agent memory architectures, outlining evaluation metrics, showcasing real‑world applications, and highlighting open challenges and emerging research directions.

4W TaxonomyAI MemoryEvaluation Metrics
0 likes · 12 min read
Unlocking AI Memory: A Comprehensive Survey of Theory, Architectures, and Future Trends
PaperAgent
PaperAgent
Feb 9, 2026 · Artificial Intelligence

Can Online Evaluation Unlock AI Assistants' Long-Term Memory? Inside AMemGym

AMemGym introduces an on‑policy, interactive benchmark that evaluates and trains AI assistants' long‑term memory by structuring state evolution, diagnosing memory failures, and enabling agents to self‑evolve, revealing that selective memory writing outperforms passive approaches across various LLM and agent architectures.

AI MemoryAgentLLM
0 likes · 8 min read
Can Online Evaluation Unlock AI Assistants' Long-Term Memory? Inside AMemGym
Architect
Architect
Jan 28, 2026 · Artificial Intelligence

How to Build a Reliable Long-Term Memory System for AI Agents

Designing a robust AI memory for long-running agents requires separating context from persistent storage, using markdown files, pre‑compaction flushing, hybrid vector‑BM25 retrieval, session pruning, and rebuildable SQLite indexes, ensuring explainable, editable, and portable recall while preventing context bloat and security leaks.

AI MemoryClawdbotcontext compression
0 likes · 19 min read
How to Build a Reliable Long-Term Memory System for AI Agents
AI Large Model Application Practice
AI Large Model Application Practice
Jan 13, 2026 · Artificial Intelligence

Why MemOS Is the Next‑Generation Memory OS for AI Agents

This article explains MemOS’s novel approach to treating AI memory as an operating‑system resource, detailing its layered architecture, core modules, three memory forms, and practical SDK usage for cloud or self‑hosted deployments, while highlighting performance benefits and engineering constraints.

AI MemoryKnowledge BaseMemOS
0 likes · 17 min read
Why MemOS Is the Next‑Generation Memory OS for AI Agents
Alibaba Cloud Native
Alibaba Cloud Native
Dec 27, 2025 · Artificial Intelligence

Unlocking AI Agent Memory: Short‑Term vs Long‑Term Strategies and Framework Integration

This article explains how AI agents overcome context window limits by using memory systems, distinguishes short‑term (session) and long‑term (cross‑session) memory, compares implementations in Google ADK, LangChain and AgentScope, and outlines context‑engineering techniques, core components, challenges, and emerging trends.

AI MemoryContext EngineeringLLM
0 likes · 20 min read
Unlocking AI Agent Memory: Short‑Term vs Long‑Term Strategies and Framework Integration
PaperAgent
PaperAgent
Dec 6, 2025 · Artificial Intelligence

How Titans and MIRAS Enable AI Models to Remember 1 Million Tokens

Google's Titans architecture and the MIRAS theoretical framework introduce a deep neural memory that lets large language models learn in real time, retain surprising information, and handle context windows of up to two million tokens, outperforming existing Transformers and linear RNNs on a range of benchmarks.

AI MemoryMIRAS frameworkSequence Modeling
0 likes · 10 min read
How Titans and MIRAS Enable AI Models to Remember 1 Million Tokens
大转转FE
大转转FE
Nov 10, 2025 · Artificial Intelligence

5 Essential AI Breakthroughs: Evaluation, Memory, Fault Postmortem, Coding Loop & TinyAI

This newsletter curates five insightful articles that explore AI evaluation engineering, the evolution of AI memory from RAG to Agentic RAG and Agent Memory, AI‑driven fault postmortem agents, a test‑driven AI coding‑deployment‑self‑test loop, and the lightweight Java‑based TinyAI framework.

AI MemoryAI coding workflowEvaluation Engineering
0 likes · 4 min read
5 Essential AI Breakthroughs: Evaluation, Memory, Fault Postmortem, Coding Loop & TinyAI
AI Large Model Application Practice
AI Large Model Application Practice
Jul 29, 2025 · Artificial Intelligence

8 Memory Strategies for AI Agents: From Full Recall to Vector Stores

The article examines eight common AI memory techniques—from simple full‑history retention to sophisticated vector‑store and knowledge‑graph approaches—detailing their principles, Python‑style implementations, advantages, drawbacks, and ideal application scenarios for large‑language‑model agents in production environments.

AI MemoryKnowledge GraphLLM Context Management
0 likes · 23 min read
8 Memory Strategies for AI Agents: From Full Recall to Vector Stores
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Jun 16, 2025 · Artificial Intelligence

How LangGraph Implements Shared Memory for Multi‑Agent Systems: Techniques, Tools, and Future Directions

This article examines the theory and practice of shared memory in multi‑agent systems, tracing its evolution from classic blackboard models to modern solutions like Mem0.ai, Open Memory, and A‑MEM, and provides concrete design patterns, integration strategies, and future research directions for LangGraph users.

AI MemoryLLMLangGraph
0 likes · 37 min read
How LangGraph Implements Shared Memory for Multi‑Agent Systems: Techniques, Tools, and Future Directions
21CTO
21CTO
Jan 2, 2025 · Artificial Intelligence

2025 AI Breakthroughs: Unlimited Memory & Intelligent Agents, Says Eric Schmidt

Former Google CEO Eric Schmidt warns that AI is on the brink of a transformative era, highlighting three 2025 breakthroughs—unlimited context memory, autonomous AI agents, and text‑to‑action programming—while also stressing the looming risks of energy consumption, security threats, and the need for ethical safeguards.

AI MemoryAI researchAI safety
0 likes · 14 min read
2025 AI Breakthroughs: Unlimited Memory & Intelligent Agents, Says Eric Schmidt