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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
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
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
James' Growth Diary
James' Growth Diary
Apr 10, 2026 · Artificial Intelligence

Designing Agent Memory Systems: Short‑Term, Long‑Term, and Knowledge Graph Layers

The article breaks down how to build a three‑layer memory architecture for AI agents—short‑term context windows with sliding‑window summarization, long‑term semantic retrieval via vector databases with selective storage and time decay, and a knowledge‑graph layer for relational reasoning—plus implementation tips and common pitfalls.

Agent MemoryKnowledge GraphLangChain
0 likes · 19 min read
Designing Agent Memory Systems: Short‑Term, Long‑Term, and Knowledge Graph Layers
大转转FE
大转转FE
Mar 30, 2026 · Industry Insights

5 Cutting‑Edge AI Agent & AICoding Analyses Shaping Enterprise Development

This newsletter curates five in‑depth industry analyses covering Claude‑driven AICoding engineering, large‑model integration in e‑commerce data warehouses, AI agent identity‑permission governance, a step‑by‑step AI agent construction guide, and Tair‑based short‑term memory architecture for millisecond‑level response.

AI AgentsAI codingEnterprise AI
0 likes · 6 min read
5 Cutting‑Edge AI Agent & AICoding Analyses Shaping Enterprise Development
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 memoryAgent FrameworksContext Engineering
0 likes · 20 min read
Unlocking AI Agent Memory: Short‑Term vs Long‑Term Strategies and Framework Integration
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