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LLM Memory Storage that scales, easily integrates, and is smart

Drop-in memory storage for LLM enabled projects that scales and solves the context size problem. I built a super easy to integrate memory storage and retrieval system for NodeJS projects because I saw a need for information to be shared and persisted across LLM chat sessions (and many other LLM feature interactions).

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  1. Yet another memory system for LLMs

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    Persistent memory for LLMs and apps. Content-addressed storage with dedupe, compression, full-text and vector search.

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  2. Fixing LLM memory degradation in long coding sessions

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    Empirical proof of SOTA LLM (GPT-5/Gemini-Pro/Claude-Pro) context saturation in complex engineering. Contains the "Misuraca Protocol" for deterministic logical segmentation to prevent entropy drift.

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  3. Cachet

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    A drop-in semantic cache for LLM APIs, 100% local, in Rust

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  4. A local-first memory store for LLM agents (SQLite)

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    Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

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  5. Offeryn

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    Build Tools for LLMs in Rust, with Model Context Protocol

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