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working memory

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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 agentsPrompt Engineeringlong‑term memory

0 likes · 11 min read

How to Build an AI Agent That Remembers Everything

ZhiKe AI

Jun 18, 2026 · User Experience Design

The 7±2 Memory Limit: How Chunking Lets You Overcome Brain Capacity

Everyday forgetfulness—missing phone digits, skipping items on a shopping list—stems from the brain's limited working‑memory capacity of about 7±2 chunks, a constraint that can be mitigated by grouping information into meaningful chunks, a principle widely used in UX design.

ChunkingMiller 7±2UX design

0 likes · 5 min read

The 7±2 Memory Limit: How Chunking Lets You Overcome Brain Capacity

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 AgentEmbeddingMemory Architecture

0 likes · 24 min read

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