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securityF
licenseA
qualityA Model Context Protocol (MCP) server that optimizes token usage by caching data during language model interactions, compatible with any language model and MCP client.
Last updated 10 months ago
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Why this server?
Optimizes token usage by caching data during language model interactions, which effectively stores and reuses memory.
Why this server?
A knowledge management system that builds a persistent semantic graph from conversations with AI assistants, storing knowledge in markdown files.
Why this server?
Provides a high-performance, persistent memory system using libSQL as the backing store for efficient knowledge storage.
Why this server?
Provides a vector store for advanced retrieval and text chunking, enhancing context and memory capabilities.
Why this server?
Offers tools to store and retrieve information using vector embeddings for meaning-based search, providing a memory component.
Why this server?
Features neural memory sequence learning with a memory-augmented model to improve code understanding and generation.