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Why this server?
Provides semantic memory and persistent storage for Claude, leveraging ChromaDB and sentence transformers.
Why this server?
An MCP server utilizing Supabase to provide memory and knowledge graph storage, enabling multiple Claude instances to share and manage data.
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.