Memory Plus
Lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" a
Memory Plus is an MCP server implementation that provides memory management capabilities for AI agents. Developed by Yuchen Mao, it uses Qdrant for vector storage and Google's Gemini for embeddings, allowing agents to record, retrieve, and manage memories efficiently. The server includes features like memory categorization, visualization of memory embeddings, and file import capabilities, making it particularly useful for building AI assistants that need to maintain context and recall information across conversations.
Source
Repository: https://github.com/yuchen20/memory-plus
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