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    <title>PyPI recent updates for better-rlm</title>
    <link>https://pypi.org/project/better-rlm/</link>
    <description>Recent updates to the Python Package Index for better-rlm</description>
    <language>en</language>    <item>
      <title>0.12.0</title>
      <link>https://pypi.org/project/better-rlm/0.12.0/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 21:32:59 GMT</pubDate>
    </item>    <item>
      <title>0.11.0</title>
      <link>https://pypi.org/project/better-rlm/0.11.0/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 14:21:40 GMT</pubDate>
    </item>    <item>
      <title>0.10.0</title>
      <link>https://pypi.org/project/better-rlm/0.10.0/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 13:13:40 GMT</pubDate>
    </item>    <item>
      <title>0.9.4</title>
      <link>https://pypi.org/project/better-rlm/0.9.4/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 12:45:38 GMT</pubDate>
    </item>    <item>
      <title>0.9.3</title>
      <link>https://pypi.org/project/better-rlm/0.9.3/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 12:18:31 GMT</pubDate>
    </item>    <item>
      <title>0.9.2</title>
      <link>https://pypi.org/project/better-rlm/0.9.2/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 11:52:28 GMT</pubDate>
    </item>    <item>
      <title>0.9.1</title>
      <link>https://pypi.org/project/better-rlm/0.9.1/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 11:37:38 GMT</pubDate>
    </item>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/better-rlm/0.9.0/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 11:28:03 GMT</pubDate>
    </item>    <item>
      <title>0.8.1</title>
      <link>https://pypi.org/project/better-rlm/0.8.1/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Sat, 19 Sep 2026 00:37:32 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/better-rlm/0.7.0/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Fri, 18 Sep 2026 23:28:37 GMT</pubDate>
    </item>    <item>
      <title>0.6.1</title>
      <link>https://pypi.org/project/better-rlm/0.6.1/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Fri, 18 Sep 2026 15:37:48 GMT</pubDate>
    </item>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/better-rlm/0.5.2/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Fri, 18 Sep 2026 08:45:58 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/better-rlm/0.5.0/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Fri, 18 Sep 2026 07:37:06 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/better-rlm/0.4.1/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Fri, 18 Sep 2026 04:52:40 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/better-rlm/0.4.0/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Fri, 18 Sep 2026 04:37:50 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/better-rlm/0.3.0/</link>
      <description>MCP server exposing Recursive Language Models (RLM) for oversized contexts, on Anthropic models with a Docker REPL sandbox.</description>
<author>logunov.alexander.cs@gmail.com</author>      <pubDate>Wed, 16 Sep 2026 13:09:49 GMT</pubDate>
    </item>  </channel>
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