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Long-Term Memory

52 articles · Page 1 of 1
Machine Heart
Machine Heart
Aug 18, 2026 · Artificial Intelligence

How MemoraX Code Gives Coding Agents Long‑Term Memory to Stop Re‑Explaining Projects

The article analyzes the recurring problem that advanced coding agents forget project context across sessions, introduces MemoraX Code’s dual local‑repo and cloud‑based long‑term memory system, and presents benchmark and experimental results that show substantial improvements in task success, cost efficiency, and alignment with developer expectations.

AICoding AgentLong-Term Memory
0 likes · 11 min read
How MemoraX Code Gives Coding Agents Long‑Term Memory to Stop Re‑Explaining Projects
IT Services Circle
IT Services Circle
Aug 17, 2026 · Artificial Intelligence

DeepSeek Harness Plugins Go Viral on GitHub: Long‑Term Memory, Virtual Pet, 18 Mini‑Games

Within a day of release, DeepSeek Harness attracted over 700 GitHub repositories, offering plugins for multi‑agent teams, file referencing, cross‑session memory, Claude integration, UI enhancements, and a collection of 18 nostalgic mini‑games, turning the platform into a highly customizable AI workspace.

AI agentsDeepSeek HarnessGitHub
0 likes · 10 min read
DeepSeek Harness Plugins Go Viral on GitHub: Long‑Term Memory, Virtual Pet, 18 Mini‑Games
Big Data and Microservices
Big Data and Microservices
Aug 11, 2026 · Artificial Intelligence

How to Build an AI Agent That Remembers Everything

The article explains why memory is the decisive factor for AI agents, breaks down short‑term, working, and long‑term memory, quantifies productivity gains, and offers concrete techniques for balancing token costs with task coherence.

AI agentsLong-Term MemoryPrompt Engineering
0 likes · 11 min read
How to Build an AI Agent That Remembers Everything
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Aug 6, 2026 · Artificial Intelligence

Agent Memory Leaderboard Launched: The First Open Benchmark for Long‑Term Memory Systems

The Agent Memory Leaderboard (AML) debuted on July 29, 2026, offering a unified, reproducible evaluation framework that combines multi‑source text and code memory datasets, standardized protocols, ability profiling, and low‑barrier integration to fairly compare memory systems while providing detailed performance diagnostics and incentives for participants.

AIAgent MemoryLong-Term Memory
0 likes · 12 min read
Agent Memory Leaderboard Launched: The First Open Benchmark for Long‑Term Memory Systems
Architect
Architect
Aug 6, 2026 · Artificial Intelligence

Deconstructing TencentDB Agent Memory: How to Keep Agents Accurate Without Being Misled by Errors?

The article analyzes TencentDB Agent Memory’s design, breaking down its three‑stage write‑read‑governance pipeline, four‑level L0‑L3 hierarchy, object types, recall strategies, conflict handling, sharing rules, long‑task traceability, and practical testing guidelines to ensure past information helps future decisions while preserving provenance and error correction.

Agent MemoryLLMLong-Term Memory
0 likes · 22 min read
Deconstructing TencentDB Agent Memory: How to Keep Agents Accurate Without Being Misled by Errors?
DataFunSummit
DataFunSummit
Aug 5, 2026 · Artificial Intelligence

Introducing the First Open Agent Memory Challenge – A Unified Benchmark for Long-Term Memory Systems

The Agent Memory Leaderboard (AML), launched on July 29, 2026 by over twenty universities and research institutes, offers a comprehensive, open benchmark that unifies text and code memory evaluation through standardized data, protocols, ability profiling, low‑barrier APIs, and a global competition with rewards.

Agent MemoryArtificial IntelligenceEvaluation Protocol
0 likes · 13 min read
Introducing the First Open Agent Memory Challenge – A Unified Benchmark for Long-Term Memory Systems
Machine Heart
Machine Heart
Jul 9, 2026 · Artificial Intelligence

How DM0.5 Brings Zero‑Shot, Long‑Term Memory, and Robustness to Real‑World VLA

DM0.5 advances the VLA paradigm by adding zero‑shot capability, efficient fine‑tuning, up to 60‑second memory, stronger resistance to visual and human interference, and cross‑robot transfer, achieved through long‑history modeling, embodied reasoning tasks, trajectory‑alignment supervision, and rigorous multi‑source data cleaning pipelines.

Long-Term MemoryVLAdata cleaning
0 likes · 13 min read
How DM0.5 Brings Zero‑Shot, Long‑Term Memory, and Robustness to Real‑World VLA
Geek Labs
Geek Labs
Jul 7, 2026 · Artificial Intelligence

memU: Enabling Long-Term Memory for AI Coding Agents

memU is an open‑source Python library and CLI that gives AI coding agents persistent memory by converting past conversations, code, documents, and media into a structured Markdown file tree, allowing agents to retrieve only the needed context instead of re‑entering project details each session.

AI agentsCLILong-Term Memory
0 likes · 4 min read
memU: Enabling Long-Term Memory for AI Coding Agents
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
Jul 1, 2026 · Artificial Intelligence

How to Add Claude Code’s Auto‑Memory Mechanism to Spring AI

This article explains how to integrate Claude Code’s auto‑memory mechanism into Spring AI by using AutoMemoryTools and AutoMemoryToolsAdvisor, compares three integration options, shows the request workflow, memory file formats, and provides concrete code snippets and consolidation strategies for persistent, typed long‑term memory.

Chat MemoryClaude CodeLong-Term Memory
0 likes · 12 min read
How to Add Claude Code’s Auto‑Memory Mechanism to Spring AI
FunTester
FunTester
Jun 19, 2026 · Artificial Intelligence

How claude‑mem Gives Claude Code Long‑Term Project Memory

The article analyzes why Claude Code forgets project context across sessions, explains the limitations of short‑term AI chat windows, and shows how the claude‑mem tool extracts, compresses, and re‑injects essential project experience to provide high‑signal long‑term memory for safer, more context‑aware development and testing.

AI agentsAI coding assistantClaude Code
0 likes · 11 min read
How claude‑mem Gives Claude Code Long‑Term Project Memory
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 ContextHybrid Retrieval
0 likes · 13 min read
How TencentDB Agent Memory Boosts Recall by 167% and Redefines Agent Context Management
Amazon Cloud Developers
Amazon Cloud Developers
May 20, 2026 · Artificial Intelligence

AgentCore Memory’s Philosophy: Teaching Agents to Forget and Remember What Matters

This article explains Amazon Bedrock AgentCore Memory’s two‑layer design that separates raw interactions from extracted insights, details built‑in, override and self‑managed strategies, shows Python configuration and three demo scenarios that illustrate cross‑session continuity, semantic deduplication, and episodic reflection, and discusses namespace organization, retrieval settings, and failure handling.

AI agentsAgentCoreAmazon Bedrock
0 likes · 12 min read
AgentCore Memory’s Philosophy: Teaching Agents to Forget and Remember What Matters
FunTester
FunTester
May 19, 2026 · Artificial Intelligence

How Memory Layering Makes AI Agents Smarter Over Time

The article explains why default agent memory is fleeting, proposes a two‑layer design of session and long‑term memory with a post‑session “dreaming” integration step, and shows how selective persistence and shared long‑term storage keep agents continuously improving.

AI architectureAgent MemoryDream Integration
0 likes · 8 min read
How Memory Layering Makes AI Agents Smarter Over Time
IT Services Circle
IT Services Circle
May 11, 2026 · Artificial Intelligence

Can Claude’s Code Generation Replace Agent Memory Systems? Understanding CLAUDE.md, Memory, and RAG

The article explains why large language model agents need dedicated memory systems to overcome limited context windows, outlines short‑term and long‑term memory architectures, storage forms, functional categories, lifecycle operations, control‑policy research, compares leading products, and presents best‑practice engineering guidelines for building scalable, privacy‑aware agent memory pipelines.

Agent MemoryControl PolicyLong-Term Memory
0 likes · 25 min read
Can Claude’s Code Generation Replace Agent Memory Systems? Understanding CLAUDE.md, Memory, and RAG
AI Illustrated Series
AI Illustrated Series
Apr 25, 2026 · Artificial Intelligence

How AI Agents Remember Everything: A Deep Dive into Memory System Design

The article explains why large language models lack persistent memory, introduces a three‑layer memory architecture for AI agents—sensory, working, and long‑term memory—and details how vector databases, embedding models, and retrieval strategies enable cross‑session knowledge retention and personalized assistance.

AI AgentEmbeddingLong-Term Memory
0 likes · 24 min read
How AI Agents Remember Everything: A Deep Dive into Memory System Design
DataFunTalk
DataFunTalk
Apr 24, 2026 · Databases

DM GDMBASE V4.0: HyperRAG, Long‑Term Memory & NL Agents for Graph‑Vector AI

At the 2026 China Database Technology & Industry Conference, DM unveiled GDMBASE V4.0, a graph database that natively fuses vectors and graphs, introduces HyperRAG, long‑term memory, and a natural‑language agent, and delivers sub‑500 ms retrieval, 30% higher recall and 60% lower hallucination rates for AI workloads.

AI integrationGraph DatabaseHybrid Retrieval
0 likes · 12 min read
DM GDMBASE V4.0: HyperRAG, Long‑Term Memory & NL Agents for Graph‑Vector AI
Machine Heart
Machine Heart
Apr 20, 2026 · Artificial Intelligence

Does OpenClaw Remember You? Cambridge Launches ATM‑Bench for Long‑Term Memory

CAMBRIDGE's new ATM‑Bench evaluates AI assistants' ability to retrieve personal memories spanning years across multimodal data, revealing that leading agents like OpenClaw, Codex, and Claude Code achieve under 40% accuracy and struggle despite extensive toolchains, highlighting a fundamental long‑term memory challenge.

AI BenchmarkATM-BenchClaude Code
0 likes · 8 min read
Does OpenClaw Remember You? Cambridge Launches ATM‑Bench for Long‑Term Memory
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
FunTester
FunTester
Apr 14, 2026 · Artificial Intelligence

Why Long-Term Memory Is the Next Frontier for Large Language Models

The article examines how the evolution of large‑language‑model memory is shifting from expanding context windows to building controllable, auditable long‑term memory systems, comparing strategies of OpenAI, Anthropic, Google, Microsoft and Meta, and outlining future trends such as automatic memory policies, multimodal storage, agent‑shared memory, and memory‑reasoning integration.

AI architectureLarge Language ModelsLong-Term Memory
0 likes · 8 min read
Why Long-Term Memory Is the Next Frontier for Large Language Models
PaperAgent
PaperAgent
Apr 13, 2026 · Artificial Intelligence

How Keyframe‑Chaining VLA Gives Robots Long‑Term Memory and Faster Reasoning

The article introduces the Keyframe‑Chaining VLA (KC‑VLA) framework, which replaces dense video sampling with semantic keyframe linking to provide robots with global temporal awareness, presents a new long‑term memory benchmark, and demonstrates superior performance in both simulation and real‑world robotic experiments.

AIKeyframe ChainingLong-Term Memory
0 likes · 9 min read
How Keyframe‑Chaining VLA Gives Robots Long‑Term Memory and Faster Reasoning
SuanNi
SuanNi
Apr 12, 2026 · Artificial Intelligence

How MemPO Gives AI Agents Long‑Term Memory and Cuts Costs by 70%

The paper introduces MemPO, a self‑memory strategy optimization algorithm that lets large language model agents actively manage their memory, dramatically improving accuracy on complex multi‑step tasks while reducing token consumption by up to 73%, and validates the approach with extensive experiments and analysis.

AIEfficiencyLarge Language Models
0 likes · 11 min read
How MemPO Gives AI Agents Long‑Term Memory and Cuts Costs by 70%
ArcThink
ArcThink
Apr 2, 2026 · Artificial Intelligence

Why LLMs Forget You: Uncovering the Limits and Solutions for Long‑Term Memory

The article explains why large language models lack persistent memory due to the stateless Transformer architecture, breaks down the four dimensions of memory loss, surveys seven technical approaches, three product implementations, and emerging research, and discusses security and privacy implications.

AILLMLong-Term Memory
0 likes · 22 min read
Why LLMs Forget You: Uncovering the Limits and Solutions for Long‑Term Memory
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
Mar 25, 2026 · Artificial Intelligence

Mastering Dify’s Multi‑Turn Context: From Short‑Term Memory to Knowledge‑Enhanced RAG

This guide explains how Dify manages multi‑turn conversation context through short‑term and long‑term memory, offers compression strategies, integrates knowledge‑base retrieval, provides prompt orchestration templates, and shows API examples for fine‑grained control, with practical configuration tips for various use cases.

AIAPIContext Management
0 likes · 6 min read
Mastering Dify’s Multi‑Turn Context: From Short‑Term Memory to Knowledge‑Enhanced RAG
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Mar 24, 2026 · Artificial Intelligence

How Hologres + Mem0 Deliver Low‑Cost, High‑Performance Long‑Memory for LLMs

This article explains how the combination of Hologres, a unified real‑time data warehouse, and Mem0, an open‑source LLM memory framework, overcomes the limited context window of large language models by providing scalable, low‑latency, and cost‑effective long‑term memory for AI applications.

AI infrastructureHologresLLM
0 likes · 11 min read
How Hologres + Mem0 Deliver Low‑Cost, High‑Performance Long‑Memory for LLMs
Ubiquitous Tech
Ubiquitous Tech
Mar 24, 2026 · Artificial Intelligence

How Adding MemOS Long‑Term Memory to OpenClaw Slashed Token Usage

The article explains the shortcomings of OpenClaw's built‑in memory, introduces MemOS as a cloud‑or‑local long‑term memory service that reduces token consumption by up to 72%, details installation and configuration steps, compares cloud and local plugins, and demonstrates improved recall and multi‑agent collaboration.

Long-Term MemoryMemOSOpenClaw
0 likes · 12 min read
How Adding MemOS Long‑Term Memory to OpenClaw Slashed Token Usage
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 14, 2026 · Artificial Intelligence

From Single to Multi-Granularity: How MemGAS Keeps Conversational Agents from Forgetting

The ICLR 2026 paper introduces MemGAS, a multi‑granularity memory framework that organizes dialogue history into session, turn, summary, and keyword levels, dynamically associates them with a Gaussian‑Mixture Model, selects the optimal granularity via entropy‑based routing, and achieves state‑of‑the‑art retrieval and QA performance on long‑term conversational benchmarks.

Long-Term MemoryMemGASconversational agents
0 likes · 11 min read
From Single to Multi-Granularity: How MemGAS Keeps Conversational Agents from Forgetting
ShiZhen AI
ShiZhen AI
Mar 11, 2026 · Artificial Intelligence

Build Persistent AI Agents with OpenClaw: A 40‑Day Hands‑On Guide

This article details a 40‑day workflow for creating and evolving eight continuous‑running OpenClaw AI agents using a three‑layer markdown file system—Identity, Operations, and Knowledge—showing how to give agents long‑term memory, self‑healing checks, and coordinated collaboration without databases or message queues.

AI agentsLong-Term MemoryOpenClaw
0 likes · 17 min read
Build Persistent AI Agents with OpenClaw: A 40‑Day Hands‑On Guide
AI Waka
AI Waka
Feb 27, 2026 · Artificial Intelligence

How to Add Persistent Long‑Term Memory to LangGraph Agents with Trustcall

This article explains how to integrate durable long‑term memory into LangGraph agents, covering memory types, their coordination, limitations of native LangGraph storage, and a step‑by‑step implementation using Trustcall’s schema‑driven extractors for both user profiles and paper collections.

AILLM agentsLangGraph
0 likes · 16 min read
How to Add Persistent Long‑Term Memory to LangGraph Agents with Trustcall
Data STUDIO
Data STUDIO
Feb 22, 2026 · Artificial Intelligence

Building AI Agents with LangGraph: Implementing RAG and Long‑Term Memory

This tutorial walks through adding Retrieval‑Augmented Generation (RAG) and persistent long‑term memory to a LangGraph AI agent, covering concepts, step‑by‑step code for document loading, vector store creation, prompt engineering, memory management, and best‑practice pitfalls.

AI AgentEmbeddingLangChain
0 likes · 16 min read
Building AI Agents with LangGraph: Implementing RAG and Long‑Term Memory
Architecture and Beyond
Architecture and Beyond
Feb 8, 2026 · Artificial Intelligence

Designing Scalable Long-Term Memory for AI Agents: Capture, Compress, Retrieve

This article explains how to build a controllable, editable, and cost‑effective long‑term memory system for AI agents by categorizing memory types, structuring a three‑stage pipeline of capture, AI‑driven compression, and smart retrieval, and choosing appropriate storage back‑ends such as files, knowledge bases, or databases.

Agent designArtificial IntelligenceKnowledge Base
0 likes · 18 min read
Designing Scalable Long-Term Memory for AI Agents: Capture, Compress, Retrieve
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 30, 2026 · Artificial Intelligence

How Memory Systems Empower AI Agents: From Short‑Term Context to Long‑Term Knowledge

This article explains how memory systems—both short‑term session memory and cross‑session long‑term memory—address the context‑window limits, token costs, and personalization challenges of AI agents, detailing core concepts, framework differences, integration architectures, context‑engineering strategies, technical components, challenges, and emerging industry trends.

AIAgent ArchitectureLong-Term Memory
0 likes · 21 min read
How Memory Systems Empower AI Agents: From Short‑Term Context to Long‑Term Knowledge
DataFunSummit
DataFunSummit
Jan 9, 2026 · Artificial Intelligence

Designing Scalable Memory for AI Agents: Short‑Term, Long‑Term, and Guardrails

This article distills OpenAI's Build Hour on agent memory patterns, explaining why memory is treated as context engineering, detailing short‑term and long‑term memory architectures, outlining practical challenges like token limits, context explosion, and safety guardrails, and offering engineering best‑practices for production‑grade AI agents.

AIAgent MemoryContext Engineering
0 likes · 20 min read
Designing Scalable Memory for AI Agents: Short‑Term, Long‑Term, and Guardrails
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
Architect's Journey
Architect's Journey
Dec 19, 2025 · Artificial Intelligence

Why Context Engineering Is the Hottest AI Skill in 2025

The article explains how context engineering—building a dynamic system that supplies AI with user intent, dialogue history, long‑term memory, external knowledge and tool definitions—outperforms traditional prompt engineering, eliminates hallucinations, and enables AI to complete complex, end‑to‑end tasks.

AIAI agentsContext Engineering
0 likes · 8 min read
Why Context Engineering Is the Hottest AI Skill in 2025
Code Wrench
Code Wrench
Dec 9, 2025 · Artificial Intelligence

Building Memory v3: Adding Long‑Term Memory to Your Go AI Agent

This guide walks you through creating a Memory v3 module for a Go‑based AI agent, enabling long‑term storage of preferences, tasks, and context so the agent can recall and leverage past interactions for more personalized responses.

AgentLong-Term Memorybackend
0 likes · 4 min read
Building Memory v3: Adding Long‑Term Memory to Your Go AI Agent
Tencent Technical Engineering
Tencent Technical Engineering
Dec 8, 2025 · Artificial Intelligence

Building Persistent Long‑Term Memory for LLM Agents with LangGraph – A Complete Guide

This article explains how to give large language model agents lasting memory by combining short‑term and long‑term storage in LangGraph, covering concepts, implementation details, database persistence, tool integration, semantic search, memory‑management strategies, checkpoint handling, and a multi‑agent supervisor example.

Agent MemoryLLMLangGraph
0 likes · 43 min read
Building Persistent Long‑Term Memory for LLM Agents with LangGraph – A Complete Guide
ShiZhen AI
ShiZhen AI
Dec 5, 2025 · Artificial Intelligence

Can AI Achieve Human‑Like Long‑Term Memory? Inside Google’s Titans Architecture

Google’s newly unveiled Titans architecture tackles AI’s “forgetfulness” by embedding a Neural Long‑Term Memory (LMM) module that updates model weights during inference using a test‑time training approach and a MIRAS surprise metric, enabling over 2 million‑token context with linear O(N) computation and superior benchmark results versus GPT‑4 RAG.

AI architectureGoogle TitansLong-Term Memory
0 likes · 5 min read
Can AI Achieve Human‑Like Long‑Term Memory? Inside Google’s Titans Architecture
AI Large Model Application Practice
AI Large Model Application Practice
Dec 1, 2025 · Artificial Intelligence

Which Open‑Source Agent Memory Engine Wins? Deep Dive into Mem0, Graphiti & Cognee

This article examines the limitations of LLM short‑term context windows and compares three open‑source long‑term memory frameworks—Mem0, Graphiti, and Cognee—by detailing their architectures, storage modes, integration steps, code examples, strengths, drawbacks, and practical selection guidance for building smarter AI agents.

Agent MemoryGraphitiLLM
0 likes · 20 min read
Which Open‑Source Agent Memory Engine Wins? Deep Dive into Mem0, Graphiti & Cognee
Fun with Large Models
Fun with Large Models
Oct 31, 2025 · Artificial Intelligence

How to Use Coze Variables and Long‑Term Memory in Low‑Code Agent Development (Part 6)

This guide walks through Coze’s variable and long‑term memory features, showing how to define and use variables for user data, configure persistent memory, and combine both to build personalized, context‑aware AI agents, with step‑by‑step screenshots, code snippets, and real‑world scenarios.

AI agentsCozeLong-Term Memory
0 likes · 14 min read
How to Use Coze Variables and Long‑Term Memory in Low‑Code Agent Development (Part 6)
Amazon Cloud Developers
Amazon Cloud Developers
Oct 23, 2025 · Artificial Intelligence

Boosting AI Agents with AgentCore Memory: A Long‑Term Memory System

The article explains how Amazon Bedrock AgentCore Memory transforms AI agents from short‑term responders into continuously learning entities by extracting valuable insights, integrating them intelligently, handling edge cases, supporting custom strategies, and delivering high compression rates and low latency for large‑scale deployments.

AI agentsAgentCore MemoryAmazon Bedrock
0 likes · 17 min read
Boosting AI Agents with AgentCore Memory: A Long‑Term Memory System
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Oct 9, 2025 · Artificial Intelligence

How Short‑Term and Long‑Term Memory Power LLM‑Based Agents

This article explains the definitions, technical implementations, functions, limitations, and collaborative workflow of short‑term and long‑term memory in large‑language‑model agents, detailing context windows, attention mechanisms, vector storage, retrieval strategies, and future research directions for building personalized, continuously learning AI agents.

Agent MemoryArtificial IntelligenceLLM
0 likes · 11 min read
How Short‑Term and Long‑Term Memory Power LLM‑Based Agents
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Aug 4, 2025 · Artificial Intelligence

How RAG and Long‑Term Memory Turn AI into a Truly Remembering Assistant

This article explains how Retrieval‑Augmented Generation (RAG) and long‑term memory systems like MenoBase enable large language models to overcome short‑term memory limits, dynamically retrieve up‑to‑date knowledge, and personalize interactions, with practical Dify implementation steps and real‑world use cases across industries.

AIDifyKnowledge Base
0 likes · 18 min read
How RAG and Long‑Term Memory Turn AI into a Truly Remembering Assistant
Smart Era Software Development
Smart Era Software Development
Mar 11, 2025 · Artificial Intelligence

Why Agentic AI Tools Like Cursor Struggle with Large Codebases

The article analyzes how Agentic AI coding assistants such as Cursor falter when projects exceed a few thousand lines due to limited context windows, leading to spatial mismatches, temporal forgetting, and redundant implementations, and proposes document‑driven development and long‑term memory as possible remedies.

CursorDocument-driven developmentLong-Term Memory
0 likes · 13 min read
Why Agentic AI Tools Like Cursor Struggle with Large Codebases
Baidu Tech Salon
Baidu Tech Salon
May 27, 2024 · Artificial Intelligence

Intelligent Agent Technology in Commercial Advertising Platforms: Architecture and Applications

The paper describes Baidu’s AI‑native advertising platform that employs a multi‑agent architecture built on large‑language models—combining large‑small model collaboration, domain SOP‑driven coordination, and long‑term memory—to enable natural‑language understanding, proactive planning, execution and human‑like responses, illustrated by GBI analytics and JarvisBot operations, delivering higher consumption, accuracy, speed and efficiency.

AI-native platformsAIOpsBusiness Intelligence
0 likes · 16 min read
Intelligent Agent Technology in Commercial Advertising Platforms: Architecture and Applications
Baobao Algorithm Notes
Baobao Algorithm Notes
Feb 4, 2024 · Industry Insights

Balancing Fun, Utility, and Slow Thinking: The Future of AI Agents

In this talk, the speaker examines the dual goals of AI agents—being entertaining and useful—while introducing the concepts of fast and slow thinking, multimodal perception, long‑term memory, retrieval‑augmented generation, and tool integration as essential steps toward building truly valuable digital companions.

AI agentsFuture AILong-Term Memory
0 likes · 18 min read
Balancing Fun, Utility, and Slow Thinking: The Future of AI Agents
DataFunSummit
DataFunSummit
Feb 24, 2023 · Artificial Intelligence

Baidu PLATO Open‑Domain Dialogue Model: Technology, Challenges, and Applications

The article presents Baidu's PLATO open‑domain dialogue system, detailing its evolution from expert‑rule to retrieval‑based and large‑scale generative models, describing its hidden‑variable architecture, major research challenges such as persona stability, long‑term memory, knowledge accuracy, and showcasing real‑world applications and Q&A from a DataFunSummit2022 livestream.

AIKnowledge RetrievalLong-Term Memory
0 likes · 25 min read
Baidu PLATO Open‑Domain Dialogue Model: Technology, Challenges, and Applications