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aspiranteintus

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   Memory Complete · aspiranteintus bundle

   Complete memory system with semantic vectors, session compaction, and automatic knowledge extraction. Use when building AI agents that need persistent memory across sessions with intelligent compression and mandatory extraction of lessons/decisions before token reset. Includes LanceDB (local vector storage), Hugging Face embeddings (384-dim, offline), session compaction (160K→40K tokens), and heuristic extraction of valuable knowledge. Zero cloud dependencies. Clone from GitHub and it's ready to use.
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