<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Knowledge Freshness on Fondsites</title><link>https://fondsites.com/tags/knowledge-freshness/</link><description>Recent content in Knowledge Freshness on Fondsites</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 29 May 2026 13:43:57 +0300</lastBuildDate><atom:link href="https://fondsites.com/tags/knowledge-freshness/feed.xml" rel="self" type="application/rss+xml"/><item><title>AI Agent Knowledge Freshness: Keeping Sources From Going Stale</title><link>https://fondsites.com/ai-agents/guidebooks/agent-knowledge-freshness/</link><pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate><guid>https://fondsites.com/ai-agents/guidebooks/agent-knowledge-freshness/</guid><description>&lt;p&gt;Agents do not only fail because they lack knowledge. They also fail because they use knowledge that used to be true. A policy was revised. A customer record changed. A dependency moved. A project preference was corrected. A prior summary captured the old state. A checkpoint says a test passed before the latest edit. The agent may still sound fluent because stale context is often well written. That makes it more dangerous, not less.&lt;/p&gt;</description></item></channel></rss>