Designing memory for AI Agents: Inside LinkedIn’s cognitive memory agent
- Apr 23
- 1 min read
InfoQ — The system is designed to power applications such as its Hiring Assistant, addressing a fundamental limitation of large language model-based workflows: statelessness and the resulting loss of continuity across sessions.
CMA functions as a shared memory infrastructure layer between application agents and underlying language models. Instead of reconstructing context through repeated prompting, agents can persist, retrieve, and update memory through a dedicated system.
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