Memory

What is Memory? Memory is a knowledge graph-based persistent memory system designed to enable AI models, like Claude, to remember information about users across different chats. How to use Memory? To utilize Memory, integrate it with your application by modifying the configuration file and utilize the provided APIs for managing entities and their relations. Key features of Memory? Persistent storage of user-related information through a knowledge graph. API support for creating entities, managing relations, and handling observations. Ability to search and retrieve specific nodes and relations based on queries. Use cases of Memory? Enhancing the personalization of AI chatbots by recalling user preferences and history. Storing and retrieving details about known entities such as contacts or events. Facilitating consistent and contextually aware conversations over time. FAQ from Memory? Can Memory remember information across different sessions? Yes! Memory is specifically designed to retain user information for future reference across different chats. Is the implementation of Memory configurable? Yes! Users can customize how memory is structured and how it interacts with the AI through specific prompts and configurations. How does Memory handle updates to stored information? Memory allows for easy updating through API calls to add new observations, create entities, and manage relations.

As an MCP (Model Context Protocol) server, Memory enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To utilize Memory, integrate it with your application by modifying the configuration file and utilize the provided APIs for managing entities and their relations. Key features of Memory? Persistent storage of user-related information through a knowledge graph. API support for creating entities, managing relations, and handling observations. Ability to search and retrieve specific nodes and relations based on queries. Use cases of Memory? Enhancing the personalization of AI chatbots by recalling user preferences and history. Storing and retrieving details about known entities such as contacts or events. Facilitating consistent and contextually aware conversations over time. FAQ from Memory? Can Memory remember information across different sessions? Yes! Memory is specifically designed to retain user information for future reference across different chats. Is the implementation of Memory configurable? Yes! Users can customize how memory is structured and how it interacts with the AI through specific prompts and configurations. How does Memory handle updates to stored information? Memory allows for easy updating through API calls to add new observations, create entities, and manage relations.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.