P

Persistent Memory

SynapCache is a distributed, zero-memory-loss caching system for all LLM outputs, designed to be LLM-agnostic, high-performance, and scalable. It combines TurboQuant-style compression, semantic search, edge caching, and predictive intelligence to store and retrieve outputs efficiently, ensuring instant recall and minimal resource usage. With developer-friendly SDKs, plugin support, and multi-cloud deployment, SynapCache provides a universal neural memory layer for modern AI workflows. https://roxanneardary.com/synapcache/

Atlas Continuum System is a spec-driven operating system for building persistent narrative, visual, and physics-based worlds. Instead of relying on prompt-to-output generation, it compiles structured narrative specifications into consistent simulations using identity-locked character agents, reusable visual assets, and law-governed physics. Every change is traceable, governed through human approval, and designed to preserve continuity across stories, worlds, and time. https://roxanneardary.com/atlas-continuum-system/

A Go-based Open Source Universal Memory server that exposes a Model Context Protocol (MCP) interface for LLM clients. It provides semantic document search (for user documents), agent memory management, and a knowledge graph - backed by PgVector or ChromaDB - enabling AI agents to store, retrieve, and interconnect knowledge across sessions.

Persistent Memory-aware in-NVDIMM accelerated memcpy operation. We leveraged the Address Indirection Table within NVDIMM to perform copy-less memcpy operation between physical pages within the NVDIMM.