<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2604.22085/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2604.22085/feed.xml" rel="self" type="application/rss+xml" /><item><title>Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents — mentioned by majidfekri</title><link>https://news.ycombinator.com/item?id=48586324</link><guid isPermaLink="false">urn:hackerpapers:mention:2604.22085:48586324</guid><pubDate>Thu, 18 Jun 2026 14:51:20 GMT</pubDate><description>&lt;p&gt;I assure you it is not a vibe coded pg_vector wrapper. It is built on top of a custom made search engine that is state-of-the-art in semantic search. Check out moorcheh.ai, cloud infrastructure, moorcheh on-prem and moorcheh-on-edge. Here is the paper explaining how we came up with the idea of memanto: https://arxiv.org/abs/2604.22085&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2604.22085/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
