Why this server?
Provides structured memory management across chat sessions for Claude, allowing it to maintain context and build a knowledge base.
Why this server?
A TypeScript-based MCP server that provides a memory system for Large Language Models (LLMs), allowing users to interact with multiple LLM providers while maintaining conversation history.
Why this server?
Provides a centralized MCP-based system for managing and accessing multi-project memory banks remotely, with features like project isolation and file structure validation.
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?
Enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API.
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.