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Roxanne_Ardary/synapcache
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://r
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- PossiblePossibly related (embedding) · 52%MemSyco-Bench: Benchmarking Sycophancy in Agent Memory →
- PossiblePossibly related (embedding) · 48%Selective Memory Retention for Long-Horizon LLM Agents →
- PossiblePossibly related (embedding) · 48%OpenAI and Broadcom unveil LLM-optimized inference chip →
- PossiblePossibly related (embedding) · 48%AgenticSTS: A Bounded-Memory Testbed for Long-Horizon LLM Agents →