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Labeling data based on perceived security risk levels to control exposure.
Distinct from Data Categorization: Distinct from general data categorization by specifically using risk levels as the primary organizational axis for security.
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MIRIX is an AI agent state orchestrator and long-term memory system designed to provide persistent context for large language models. It functions as a multi-modal AI memory pipeline that processes text, voice, and screen captures into structured knowledge stores, including a dedicated screen activity knowledge base. The project distinguishes itself by integrating a multi-modal observation pipeline that monitors desktop activity in real-time to build a searchable history of user actions. It utilizes a multi-tiered memory hierarchy—separating episodic, semantic, procedural, and core stores—and
Categorizes sensitive information by risk level to prevent the accidental exposure of high-security data.