Cross-surface persistent memory for Claude sessions

Cross-Surface Persistent Memory for Claude Sessions

This MCP tool introduces persistent memory capabilities for Claude AI sessions, enabling a more continuous and personalized interaction experience across different platforms. By storing and retrieving conversation history, it allows Claude to maintain context and recall previous interactions, significantly improving its utility for complex tasks and long-term projects.

What it Does

The core function of this MCP is to provide a robust mechanism for storing and accessing Claude's conversation history. Instead of losing context when a session ends or a user switches devices, the memory persists. This means Claude can pick up where it left off, referencing past discussions, user preferences, and established facts. This is achieved through a backend system that serializes and stores the conversation state, making it retrievable for subsequent interactions.

Key Features

• Persistent Storage: Conversation history is saved and accessible across multiple sessions and devices.
• Contextual Continuity: Claude maintains an understanding of previous interactions, leading to more coherent and relevant responses.
• Personalization: The tool can learn and adapt to user preferences and specific project requirements over time.
• Developer-Focused: Designed for integration into custom AI agent workflows and applications.
• Open Source: Available on GitHub for inspection, modification, and integration.

Who it's For

This tool is specifically designed for AI developers and builders who are working with Claude models and require enhanced session management. It is ideal for those building complex AI agents, chatbots with long-term memory requirements, or applications where maintaining conversational context is critical. If you are looking to create more sophisticated and personalized AI experiences that go beyond single-turn interactions, this MCP provides a foundational component for achieving that goal.