<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agent Memory on Uni Matrix Zero</title><link>https://unimatrixz.com/tags/agent-memory/</link><description>Recent content in Agent Memory on Uni Matrix Zero</description><generator>Hugo</generator><language>en</language><copyright>Stephan Froede</copyright><lastBuildDate>Wed, 12 Aug 2026 22:12:36 +0200</lastBuildDate><atom:link href="https://unimatrixz.com/tags/agent-memory/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent Memory Architecture: Working, Episodic, Semantic and Procedural Memory</title><link>https://unimatrixz.com/topics/ai-production-architecture/agent-memory-architecture/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://unimatrixz.com/topics/ai-production-architecture/agent-memory-architecture/</guid><description>&lt;p&gt;An agent memory architecture determines more than where conversation history is stored. It decides which observations become memories, what type they become, who may retrieve them, when they expire and whether they can influence an action without being mistaken for current truth.&lt;/p&gt;</description></item><item><title>Graph RAG vs. Agent Memory vs. World State</title><link>https://unimatrixz.com/topics/ai-production-architecture/graph-rag-agent-memory-world-state/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://unimatrixz.com/topics/ai-production-architecture/graph-rag-agent-memory-world-state/</guid><description>&lt;p&gt;Graph RAG, agent memory and world state are often grouped under “giving the model more context.” That description is too broad for architecture. They solve different problems and carry different levels of authority.&lt;/p&gt;</description></item><item><title>Stateful AI Agents: Why Memory Is Not State</title><link>https://unimatrixz.com/topics/ai-production-architecture/stateful-ai-agents/</link><pubDate>Wed, 12 Aug 2026 00:00:00 +0000</pubDate><guid>https://unimatrixz.com/topics/ai-production-architecture/stateful-ai-agents/</guid><description>&lt;p&gt;A stateful AI agent can continue work across steps, interruptions and sessions. That does not mean the model itself “has state.” Reliable statefulness comes from external persistence and explicit transition rules around the model.&lt;/p&gt;</description></item></channel></rss>