Model Context Protocol server enabling persistent storage, retrieval, search, and management of text memories with tagging support, using local JSON file storage for seamless integration and efficient memory handling.

Extend agent memory and context windows with a Model Context Protocol server offering namespace management, key-value storage, and advanced semantic search using E5 embeddings for efficient recall and context handling.

High-performance Python-based Model Context Protocol server offering efficient memory management, robust infrastructure tracking, SQLite persistent storage, and seamless Claude Desktop integration.

Enhance large language model capabilities with a unified interface for intelligent context management, multi-provider AI model coordination, and seamless integration of diverse development and automation tools through a robust, scalable Model Context Protocol platform.

Provides structured project-based memory management for Claude Desktop using the Model Context Protocol, enabling context retention, searchable markdown memory storage, tagging, and knowledge base building across chat sessions.