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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2604.04660/</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/2604.04660/feed.xml" rel="self" type="application/rss+xml" /><item><title>Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception — HN submission</title><link>https://news.ycombinator.com/item?id=47785663</link><guid isPermaLink="false">urn:hackerpapers:submission:2604.04660:47785663</guid><pubDate>Wed, 15 Apr 2026 21:41:39 GMT</pubDate><description>&lt;p&gt;Show HN: Springdrift – A persistent runtime for long-lived LLM agents&lt;/p&gt;&lt;p&gt;I wanted to share something that I have been working on since about 2019, in one form or another. Springdrift is a persistent, auditable runtime for long-lived agents written in Gleam on the BEAM. It is my attempt at filling in some of the gaps in agent development. It is designed to do all the things an agent like Openclaw can do (and more eventually), but it can diagnose its own errors and failures. It has a sophisticated safety metacognition system. It has a character that should not drift. It started out as a machine ethics prototype in Java and gradually morphed into a full agent…&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2604.04660/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception — mentioned by s_brady</title><link>https://news.ycombinator.com/item?id=47745724</link><guid isPermaLink="false">urn:hackerpapers:mention:2604.04660:47745724</guid><pubDate>Sun, 12 Apr 2026 23:43:15 GMT</pubDate><description>&lt;p&gt;A runtime for a long-lived LLM agent with ambient continuous self-perception, persistent memory, defined authority, domain-specific autonomy, and forensic accountability, all in a long ongoing relationship with a human. I call this type of system an Artificial Retainer, a non-human cross between a guide dog and someone like your accountant or lawyer. It is not designed to be your friend, but it could be a valuable colleague. Think of this as an attempt to build a trusted stable agent with a stable character that could last decades. https://github.com/seamus-brady/springdrift…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2604.04660/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception — HN submission</title><link>https://news.ycombinator.com/item?id=47744005</link><guid isPermaLink="false">urn:hackerpapers:submission:2604.04660:47744005</guid><pubDate>Sun, 12 Apr 2026 20:17:37 GMT</pubDate><description>&lt;p&gt;Springdrift: An Auditable Persistent Runtime for LLM Agents&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2604.04660/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
