We have been building and working on a local AI with memory and persistence
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We have built a local model running on a Mac Studio M3 Ultra, 32-core CPU, 80-core GPU, 32-core Neural Engine, 512GB unified memory. With a 5-tiered memory architecture that can be broken down as follows: Working memory - This keeps the immediate conversational context. Vector Store - Semantic memory for conceptual retrieval. Knowledge graph (Neo4j) - A symbolic relational map of hard facts and entities. Timeline log - A chronological record of every event and interaction. Lessons - A distill...
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