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      <title>Designing Memory for AI Agents: inside Linkedin’s Cognitive Memory Agent</title>
      <link>https://www.infoq.com/news/2026/04/linkedin-cognitive-memory-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Context-Augmented+Generation-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/linkedin-cognitive-memory-agent/en/headerimage/memorylayer-1776233312896.jpeg"/&gt;&lt;p&gt;LinkedIn introduces Cognitive Memory Agent (CMA),  generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Context-Augmented Generation</category>
      <category>Agents</category>
      <category>Memory</category>
      <category>Evolutionary Architecture</category>
      <category>AI Architecture</category>
      <category>Platform Engineering</category>
      <category>Distributed Systems</category>
      <category>Large language models</category>
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      <category>Retrieval-Augmented Generation</category>
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      <pubDate>Mon, 20 Apr 2026 14:59:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-20T14:59:00Z</dc:date>
      <dc:identifier>/news/2026/04/linkedin-cognitive-memory-agent/en</dc:identifier>
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