<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Dirty South Alpha — Blog</title>
    <link>https://dirtysouthalpha.com/blog</link>
    <atom:link href="https://dirtysouthalpha.com/feed.xml" rel="self" type="application/rss+xml"/>
    <description>Field notes on self-hosted AI: local LLM inference on budget Intel Arc hardware, autonomous agents with guardrails, and a memory brain that remembers across tools. Real numbers, $0 cloud.</description>
    <language>en-us</language>
    <lastBuildDate>Fri, 19 Sep 2026 00:00:00 GMT</lastBuildDate>
    <item>
      <title>Building a shared memory brain for AI agents</title>
      <link>https://dirtysouthalpha.com/blog/memory-brain</link>
      <guid isPermaLink="true">https://dirtysouthalpha.com/blog/memory-brain</guid>
      <dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Brandon Goolsby</dc:creator>
      <pubDate>Fri, 19 Sep 2026 00:00:00 GMT</pubDate>
      <description>A persistent, shared, self-correcting memory that every AI agent and tool reads from and writes to — so nothing gets re-explained twice. The design decisions that make it work: supersede-never-delete, write the mechanism not the answer, dedupe before you write, and automatic write-back. Past 130,000 memories, live.</description>
    </item>
    <item>
      <title>Running 30B LLMs on a $500 Intel Arc B60</title>
      <link>https://dirtysouthalpha.com/blog/intel-arc-30b</link>
      <guid isPermaLink="true">https://dirtysouthalpha.com/blog/intel-arc-30b</guid>
      <dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Brandon Goolsby</dc:creator>
      <pubDate>Fri, 19 Sep 2026 00:00:00 GMT</pubDate>
      <description>Serious local inference doesn't need a 4090. The exact stack — llama.cpp, Vulkan, IPEX-LLM — the driver and VRAM gotchas that actually bite, quantization tradeoffs, and measured tok/s for a dense 30B-class model at every common quant. All at $0 cloud spend.</description>
    </item>
  </channel>
</rss>
