<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MemPalace on SoloSoft</title><link>https://www.solosoft.dev/tags/mempalace/</link><description>Recent content in MemPalace on SoloSoft</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.solosoft.dev/tags/mempalace/index.xml" rel="self" type="application/rss+xml"/><item><title>MemPalace: The Best-Benchmarked Open-Source AI Memory System</title><link>https://www.solosoft.dev/post/mempalace-ai-memory-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/mempalace-ai-memory-2026/</guid><description>&lt;p&gt;AI agents struggle with long-term memory. Without it, every conversation starts from zero &amp;ndash; no recollection of past tasks, user preferences, or ongoing projects. MemPalace takes direct aim at this limitation with a uniquely ambitious approach: a spatial hierarchy modeled on the ancient &lt;strong&gt;method of loci&lt;/strong&gt;, the same mnemonic technique Roman orators used to memorize entire speeches. The result is an open-source AI memory system that achieves &lt;strong&gt;96.6% recall on LongMemEval&lt;/strong&gt;, the highest score among open-source systems at time of writing.&lt;/p&gt;
&lt;p&gt;MemPalace is built by &lt;a href="https://github.com/MemPalace/mempalace"&gt;MemPalace&lt;/a&gt;, a team exploring biologically inspired architectures for AI memory. The project is local-first, meaning your agent&amp;rsquo;s memory lives on your machine rather than in a cloud API. This matters for both privacy and latency &amp;ndash; memory retrieval happens in milliseconds without a network round trip.&lt;/p&gt;</description></item></channel></rss>