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    <title>PyPI recent updates for tradememory-protocol</title>
    <link>https://pypi.org/project/tradememory-protocol/</link>
    <description>Recent updates to the Python Package Index for tradememory-protocol</description>
    <language>en</language>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/tradememory-protocol/0.5.1/</link>
      <description>MCP memory system for AI trading agents. Store, recall, and learn from past trades.</description>
<author>contact@mnemox.ai</author>      <pubDate>Fri, 27 Mar 2026 14:25:49 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/tradememory-protocol/0.5.0/</link>
      <description>MCP memory system for AI trading agents. Store, recall, and learn from past trades.</description>
<author>contact@mnemox.ai</author>      <pubDate>Mon, 16 Mar 2026 06:47:38 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/tradememory-protocol/0.4.0/</link>
      <description>MCP memory system for AI trading agents. Store, recall, and learn from past trades.</description>
<author>contact@mnemox.ai</author>      <pubDate>Thu, 05 Mar 2026 07:35:34 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/tradememory-protocol/0.3.1/</link>
      <description>MCP memory system for AI trading agents. Store, recall, and learn from past trades.</description>
<author>contact@mnemox.ai</author>      <pubDate>Mon, 02 Mar 2026 12:13:27 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/tradememory-protocol/0.3.0/</link>
      <description>MCP memory system for AI trading agents. Store, recall, and learn from past trades.</description>
<author>contact@mnemox.ai</author>      <pubDate>Sun, 01 Mar 2026 05:59:58 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/tradememory-protocol/0.2.0/</link>
      <description>MCP memory system for AI trading agents. Store, recall, and learn from past trades.</description>
<author>contact@mnemox.ai</author>      <pubDate>Tue, 24 Feb 2026 18:24:05 GMT</pubDate>
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