MemoryMind
Enables AI chat applications to maintain persistent memory of user facts across sessions using the Model Context Protocol.
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MemoryMind is an innovative AI chat application designed to foster truly intelligent conversations by leveraging the Model Context Protocol (MCP) to implement persistent memory. It allows the AI to recall specific facts about users from previous interactions, ensuring personalized and contextually rich responses. This is achieved through a robust architecture combining Next.js for the frontend, Google Gemini 2.5 Flash for AI processing, and a dedicated MCP server with PostgreSQL for durable fact storage, facilitating a seamless and memory-aware user experience.
Características Principales
- MCP Implementation with official SDK for compliant memory management
- User-friendly interface for viewing, editing, and deleting stored facts
- 0 GitHub stars
- Real-time token-by-token streaming of AI-generated conversations
- Persistent, session-agnostic memory for personalized AI responses
- Automated background fact extraction from conversations
Casos de Uso
- Creating personalized customer support chatbots that retain context across interactions
- Building intelligent conversational agents for adaptive learning or recommendation systems
- Developing AI assistants capable of remembering user preferences and history
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