Enables AI agents to store and retrieve information persistently using key-value pairs with JSON file-based storage. Supports storing, retrieving, listing, deleting, and searching data across sessions.
Provides persistent memory storage with advanced features like tagging, content search, and expiration settings. It enables users to create directed links between stored memories to build structured relationships and knowledge graphs.
Enables AI assistants to store and retrieve persistent memories with a web management interface. Supports creating, searching, and managing memories through natural language commands or a visual web dashboard.
Stores and retrieves key-value memories with metadata and namespaces for AI agents. Enables persistent, searchable memory across sessions using the Model Context Protocol.
Provides long-term memory storage for AI assistants with semantic search, enabling persistent storage of preferences, decisions, and context with relationship tracking between memories.