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Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent
Our take
In "Designing Memory for AI Agents: Inside LinkedIn’s Cognitive Memory Agent," Leela Kumili explores the groundbreaking Cognitive Memory Agent (CMA) introduced by LinkedIn. This innovative generative AI infrastructure layer empowers AI systems with stateful, context-aware capabilities by providing persistent memory across episodic, semantic, and procedural layers. CMA enhances multi-agent coordination, retrieval, and lifecycle management, effectively addressing the limitations of traditional large language models (LLMs). This advancement enables personalized experiences and long-term contextual understanding in AI applications, transforming how we engage with technology.
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.
By Leela KumiliRead on the original site
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