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Why this server?
Provides a centralized MCP-based system for managing and accessing multi-project memory banks remotely.
Why this server?
A server for managing project documentation and context across Claude AI sessions through global and branch-specific memory banks.
Why this server?
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Why this server?
A Claude-compatible MCP server that enables storing and summarizing notes through a simple note storage system with custom URI scheme.
Why this server?
Processes emails from Outlook with date filtering, storing them in SQLite databases while generating vector embeddings for semantic search capabilities in MongoDB.
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 and offering tools for managing providers and model configurations.
Why this server?
A Model Context Protocol server for Claude Desktop that provides structured memory management across chat sessions, allowing Claude to maintain context and build a knowledge base within project directories.
Why this server?
Facilitates initiating Ollama queries via Claude and manages a simple note storage system with capabilities to add, summarize, and access notes using custom URIs.
Why this server?
A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
Why this server?
A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.