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Production-grade AI agents require a three-tiered persistent memory architecture combining governed context (ContextNest), personalization memory (Mem0), and session logs (Zep), rather than relying on a single memory system. Each layer serves a distinct purpose: ContextNest provides version-controlled organizational knowledge with deterministic governance to prevent stale facts, Mem0 captures user-specific preferences through semantic extraction, and Zep maintains conversational continuity through session logging. Without this structured stack, AI agents risk retrieving outdated information and hallucinating when probabilistic memory systems encounter conflicting data.
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