Tagged articles

non‑parametric memory

3 articles · Page 1 of 1

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 memoryAgent ArchitectureRetrieval Augmentation

0 likes · 42 min read

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

dbaplus Community

May 5, 2026 · Artificial Intelligence

The True Nature of Agent Memory: Deep Dive into Architecture and Design

The article analyses why a real agent must have memory, defining memory as an external state that feeds decision‑making, proposing a three‑part architecture (Raw Ledger, Views, Policy), contrasting parametric and non‑parametric approaches, and detailing bottlenecks, temporal handling, and procedural extensions.

Agent MemoryMemory ArchitectureRetrieval

0 likes · 46 min read

The True Nature of Agent Memory: Deep Dive into Architecture and Design

Alibaba Cloud Developer

Apr 7, 2026 · Artificial Intelligence

Rethinking Agent Memory: From Raw Ledgers to Non‑Parametric Systems

This article analyses the nature of memory for LLM‑based agents, arguing that memory is a closed‑loop system composed of a raw ledger, derived views, and a policy layer, and explores how non‑parametric designs, system‑2 architectures, temporal structuring, and skill‑based execution can bridge the gap between parametric and non‑parametric memory while highlighting key bottlenecks and practical design guidelines.

LLMTemporal Reasoningmemory systems

0 likes · 50 min read

Rethinking Agent Memory: From Raw Ledgers to Non‑Parametric Systems