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Why this server?
Provides semantic memory and persistent storage for Claude, leveraging ChromaDB and sentence transformers.
Why this server?
A high-performance MCP server utilizing libSQL for persistent memory and vector search capabilities.
Why this server?
A basic implementation of persistent memory using a local knowledge graph, allowing Claude to remember information about the user across chats.
Why this server?
A Python-based server that implements the Model Context Protocol to interface with Claude Desktop as an MCP client, supporting interaction through efficient memory management.
Why this server?
A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme.
Why this server?
Enables neural memory sequence learning with a memory-augmented model for improved code understanding and generation, featuring state management, novelty detection, and model persistence.
Why this server?
An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path, letting Claude remember information about the user across chats.
Why this server?
A TypeScript-based server that provides a memory system for Large Language Models (LLMs), allowing users to interact with multiple LLM providers while maintaining conversation history.