<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for extremis</title>
    <link>https://pypi.org/project/extremis/</link>
    <description>Recent updates to the Python Package Index for extremis</description>
    <language>en</language>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/extremis/0.3.1/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Fri, 08 May 2026 06:56:27 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/extremis/0.3.0/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Fri, 08 May 2026 06:31:41 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/extremis/0.2.4/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Fri, 08 May 2026 06:21:23 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/extremis/0.2.3/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Fri, 08 May 2026 05:12:19 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/extremis/0.2.0/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Thu, 07 May 2026 20:12:57 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/extremis/0.1.9/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Thu, 07 May 2026 20:06:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/extremis/0.1.6/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Thu, 07 May 2026 18:43:08 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/extremis/0.1.5/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Thu, 07 May 2026 18:32:45 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/extremis/0.1.4/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Thu, 07 May 2026 18:17:55 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/extremis/0.1.2/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Thu, 07 May 2026 18:03:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/extremis/0.1.1/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Thu, 07 May 2026 17:59:54 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/extremis/0.1.0/</link>
      <description>Layered memory platform for AI agents — log-first, RL-scored, consolidation-backed</description>
<author>ashwanijha04@gmail.com</author>      <pubDate>Thu, 07 May 2026 17:45:20 GMT</pubDate>
    </item>  </channel>
</rss>