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    <title>PyPI recent updates for anomaly-agent</title>
    <link>https://pypi.org/project/anomaly-agent/</link>
    <description>Recent updates to the Python Package Index for anomaly-agent</description>
    <language>en</language>    <item>
      <title>0.13.2</title>
      <link>https://pypi.org/project/anomaly-agent/0.13.2/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sat, 18 Apr 2026 20:13:18 GMT</pubDate>
    </item>    <item>
      <title>0.13.1</title>
      <link>https://pypi.org/project/anomaly-agent/0.13.1/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sun, 01 Feb 2026 17:04:15 GMT</pubDate>
    </item>    <item>
      <title>0.13.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.13.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sun, 01 Feb 2026 10:34:46 GMT</pubDate>
    </item>    <item>
      <title>0.12.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.12.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sun, 01 Feb 2026 09:34:41 GMT</pubDate>
    </item>    <item>
      <title>0.11.5</title>
      <link>https://pypi.org/project/anomaly-agent/0.11.5/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sat, 31 Jan 2026 16:30:47 GMT</pubDate>
    </item>    <item>
      <title>0.11.3</title>
      <link>https://pypi.org/project/anomaly-agent/0.11.3/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sat, 31 Jan 2026 16:23:44 GMT</pubDate>
    </item>    <item>
      <title>0.11.2</title>
      <link>https://pypi.org/project/anomaly-agent/0.11.2/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sat, 31 Jan 2026 00:28:10 GMT</pubDate>
    </item>    <item>
      <title>0.11.1</title>
      <link>https://pypi.org/project/anomaly-agent/0.11.1/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sat, 31 Jan 2026 00:07:36 GMT</pubDate>
    </item>    <item>
      <title>0.11.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.11.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Fri, 30 Jan 2026 23:45:44 GMT</pubDate>
    </item>    <item>
      <title>0.10.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.10.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Fri, 30 Jan 2026 22:21:03 GMT</pubDate>
    </item>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.9.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sun, 17 Aug 2025 22:26:15 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.8.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Tue, 17 Jun 2025 11:45:50 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.7.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Sun, 25 May 2025 21:26:35 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.6.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Tue, 13 May 2025 20:41:53 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.5.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Fri, 14 Feb 2025 21:35:42 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.4.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Fri, 14 Feb 2025 21:09:28 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.3.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Fri, 14 Feb 2025 20:28:38 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.2.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Tue, 11 Feb 2025 20:29:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/anomaly-agent/0.1.0/</link>
      <description>A package for detecting anomalies in time series data using LLMs</description>
<author>andrewm4894@gmail.com</author>      <pubDate>Thu, 06 Feb 2025 22:58:30 GMT</pubDate>
    </item>  </channel>
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