<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for mcp-memory-service-lite</title>
    <link>https://pypi.org/project/mcp-memory-service-lite/</link>
    <description>Recent updates to the Python Package Index for mcp-memory-service-lite</description>
    <language>en</language>    <item>
      <title>10.39.1</title>
      <link>https://pypi.org/project/mcp-memory-service-lite/10.39.1/</link>
      <description>Lightweight semantic memory service with ONNX embeddings - no PyTorch required. 80% smaller install size. REST API + MCP transport.</description>
<author>heinrich.krupp@gmail.com</author>      <pubDate>Mon, 20 Apr 2026 17:16:59 GMT</pubDate>
    </item>    <item>
      <title>10.39.0</title>
      <link>https://pypi.org/project/mcp-memory-service-lite/10.39.0/</link>
      <description>Lightweight semantic memory service with ONNX embeddings - no PyTorch required. 80% smaller install size. REST API + MCP transport.</description>
<author>heinrich.krupp@gmail.com</author>      <pubDate>Sun, 19 Apr 2026 19:56:43 GMT</pubDate>
    </item>    <item>
      <title>10.36.4</title>
      <link>https://pypi.org/project/mcp-memory-service-lite/10.36.4/</link>
      <description>Lightweight semantic memory service with ONNX embeddings - no PyTorch required. 80% smaller install size. REST API + MCP transport.</description>
<author>heinrich.krupp@gmail.com</author>      <pubDate>Fri, 10 Apr 2026 16:15:40 GMT</pubDate>
    </item>    <item>
      <title>10.36.3</title>
      <link>https://pypi.org/project/mcp-memory-service-lite/10.36.3/</link>
      <description>Lightweight semantic memory service with ONNX embeddings - no PyTorch required. 80% smaller install size. REST API + MCP transport.</description>
<author>heinrich.krupp@gmail.com</author>      <pubDate>Fri, 10 Apr 2026 15:57:49 GMT</pubDate>
    </item>    <item>
      <title>10.36.2</title>
      <link>https://pypi.org/project/mcp-memory-service-lite/10.36.2/</link>
      <description>Lightweight semantic memory service with ONNX embeddings - no PyTorch required. 80% smaller install size. REST API + MCP transport.</description>
<author>heinrich.krupp@gmail.com</author>      <pubDate>Fri, 10 Apr 2026 12:58:45 GMT</pubDate>
    </item>    <item>
      <title>10.36.0</title>
      <link>https://pypi.org/project/mcp-memory-service-lite/10.36.0/</link>
      <description>Lightweight MCP memory service with ONNX embeddings - no PyTorch required. 80% smaller install size.</description>
<author>heinrich.krupp@gmail.com</author>      <pubDate>Thu, 09 Apr 2026 20:54:20 GMT</pubDate>
    </item>    <item>
      <title>10.35.0</title>
      <link>https://pypi.org/project/mcp-memory-service-lite/10.35.0/</link>
      <description>Lightweight MCP memory service with ONNX embeddings - no PyTorch required. 80% smaller install size.</description>
<author>heinrich.krupp@gmail.com</author>      <pubDate>Thu, 09 Apr 2026 18:25:56 GMT</pubDate>
    </item>    <item>
      <title>8.76.0</title>
      <link>https://pypi.org/project/mcp-memory-service-lite/8.76.0/</link>
      <description>Lightweight MCP memory service with ONNX embeddings - no PyTorch required. 80% smaller install size.</description>
<author>heinrich.krupp@gmail.com</author>      <pubDate>Mon, 12 Jan 2026 17:14:11 GMT</pubDate>
    </item>  </channel>
</rss>