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      <title>Google Antigravity SDK Adds Local Model Support for Greater Token Efficiency and Code Privacy</title>
      <link>https://www.infoq.com/news/2026/10/antigravity-sdk-local-models/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Gemma-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/antigravity-sdk-local-models/en/headerimage/agent-friendly-android-cli-1791967537412.jpeg"/&gt;&lt;p&gt;Google has introduced support for local models in the Antigravity SDK, enabling developers to build and execute agentic workflows directly on their own machines, while retaining the flexibility to mix in cloud-based models for higher-level tasks. This approach gives developers greater control over data privacy, inference costs, network dependencies, and computational workload distribution.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Data Privacy</category>
      <category>Google</category>
      <category>Gemma</category>
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      <pubDate>Wed, 14 Oct 2026 09:00:00 GMT</pubDate>
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      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-14T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/antigravity-sdk-local-models/en</dc:identifier>
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