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 architecturenon‑parametric memory

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

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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 Architecturenon‑parametric memory

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

policy control

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

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