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agent-memory-architectures

Architect persistent, searchable memory for agents — episodic, semantic, and procedural stores with retrieval, consolidation, and forgetting policies. Use when designing how an agent remembers across sessions.

skills/agent-memory-architectures/SKILL.md

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# Persistent Memory Architectures for Agents

An agent that forgets everything between sessions can't learn, personalize, or maintain long 
projects. This skill covers memory as a system architecture: layered stores, retrieval pipelines, 
consolidation jobs, and forgetting policies — protocol- and vendor-neutral.

## Overview

Think of agent memory like a data platform with three layers. The hot layer is working context: 
fast, exact, bounded. The warm layer is searchable episodic and semantic memory: past interactions, 
facts, preferences, indexed for similarity and keyword retrieval. The cold layer is consolidated 
knowledge: distilled playbooks, long-term project state, archived with pointers back to sources. 
Between layers run pipelines — consolidation (compressing hot into warm/cold) and retrieval 
(surfacing warm/cold into hot at decision time). Forgetting is a first-class pipeline too.