Memoire

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Memoire is an experimental Model Context Protocol (MCP) server designed to overcome the critical limitation of large language models: their inability to retain context across conversations. Unlike simple storage, Memoire implements a sophisticated semantic memory system that intelligently chunks, contextualizes, and curates information using vector embeddings. This allows LLMs to retrieve and synthesize knowledge naturally from past interactions, ensuring valuable insights and accumulated knowledge persist and are accessible transparently.

Características Principales

• Intelligent Semantic Ingestion & Curation
• Vector Embedding-based Semantic Search
• Automatic Context Emergence & Project Isolation
• Natural Language Memory Recall
• Transparent MCP Server Operation
• 3 GitHub stars

Casos de Uso

• Providing persistent memory for LLM interactions in Claude Desktop or Cursor.
• Retaining and recalling project-specific knowledge across multiple conversations.
• Automatically curating and contextualizing information for long-term LLM understanding.