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qualityA 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.
TypeScript
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Why this server?
Provides structured memory management across chat sessions, allowing Claude to maintain context and build a knowledge base within project directories.
Why this server?
Enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API.
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?
Allows natural language interaction with Neo4j and your Aura account, effectively leveraging it as a knowledge base.
Why this server?
Provides unified access to multiple search engines, AI tools, and content processing services, useful for building a local knowledge base.
Why this server?
Provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.
Why this server?
Integrates Inkdrop note-taking app with Claude AI through Model Context Protocol, allowing Claude to search, read, create, and update notes in your Inkdrop database.
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?
Enables interaction between LLMs and Obsidian vaults through the Model Context Protocol, supporting secure file operations, content management, and advanced search capabilities.
Why this server?
A server for managing project documentation and context across Claude AI sessions through global and branch-specific memory banks, enabling consistent knowledge management with structured JSON document storage.