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Add persistent memory and relevant context to AI applications

Mnexium provides a memory and context layer for AI applications. Developers can use its API or SDK to retain useful facts, conversation history, user profiles, and other records across sessions. Relevant information can then be supplied to a model when a later request needs it.
The service supports several model providers and includes options for extracting memories, retrieving related context, and managing information by user or subject. Ranking and deduplication help keep the stored material organized as conversations accumulate. Mnexium is useful for applications that need continuity over time, allowing developers to add that behavior without building a separate memory storage and retrieval system from scratch.
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