--- title: Designing Memory for AI Agents: Inside Linkedin’s... description: LinkedIn has built a Cognitive Memory Agent (CMA) as a shared infrastructure layer that gives AI agents persistent, stateful memory across sessions. The system... canonical: https://daily.dev/posts/designing-memory-for-ai-agents-inside-linkedin-s-cognitive-memory-agent-rxjayrrie twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent | daily.dev og:description: LinkedIn has built a Cognitive Memory Agent (CMA) as a shared infrastructure layer that gives AI agents persistent, stateful memory across sessions. The system... og:url: https://daily.dev/posts/designing-memory-for-ai-agents-inside-linkedin-s-cognitive-memory-agent-rxjayrrie og:image: https://api.daily.dev/og/posts/RxJaYrrie.png og:image:alt: Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent **[InfoQ](https://daily.dev/sources/infoq)** · 3 min read · 1 upvotes · 0 comments ## Summary LinkedIn has built a Cognitive Memory Agent (CMA) as a shared infrastructure layer that gives AI agents persistent, stateful memory across sessions. The system organizes memory into three layers: episodic (interaction history), semantic (structured knowledge about users and entities), and procedural (learned workflows). CMA serves as a shared substrate for multi-agent coordination, reducing state duplication and enabling consistent outputs across distributed workflows. It incorporates recent context retrieval, semantic search, and memory compaction via summarization to manage storage and relevance at scale. The design addresses the fundamental statelessness of LLMs and represents a broader industry shift toward memory-driven, production-grade agentic systems. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Inside LinkedIn's cognitive memory agent for agentic personalization](https://daily.dev/posts/inside-linkedin-s-cognitive-memory-agent-for-agentic-personalization-l3bfixx0e) · Stack Overflow Blog · 0 upvotes · 0 comments - [How AI Agents Manage Memory and Avoid Forgetfulness](https://daily.dev/posts/how-ai-agents-manage-memory-and-avoid-forgetfulness-wzlg6idul) · ByteByteGo · 3 upvotes · 1 comments - [Memory for AI Agents: A New Paradigm of Context Engineering](https://daily.dev/posts/memory-for-ai-agents-a-new-paradigm-of-context-engineering-ku2rvmlcw) · The New Stack · 2 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag) [View this post on daily.dev](https://daily.dev/posts/designing-memory-for-ai-agents-inside-linkedin-s-cognitive-memory-agent-rxjayrrie) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent","url":"https://daily.dev/posts/designing-memory-for-ai-agents-inside-linkedin-s-cognitive-memory-agent-rxjayrrie","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/designing-memory-for-ai-agents-inside-linkedin-s-cognitive-memory-agent-rxjayrrie"},"datePublished":"2026-04-20T15:03:16.302Z","dateModified":"2026-04-21T12:54:15.026Z","description":"LinkedIn has built a Cognitive Memory Agent (CMA) as a shared infrastructure layer that gives AI agents persistent, stateful memory across sessions. 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