Local Memory
Provides a privacy-first, local memory server for AI assistants, enabling cumulative learning and personalized intelligence without cloud dependencies.
Acerca de
Local Memory is a robust, production-ready Model Context Protocol (MCP) server designed to give AI assistants a private, persistent, and intelligent memory right on your local machine. It empowers AI with the ability to remember past conversations, accumulated knowledge, and insights, transforming generic responses into personalized intelligence that grows uniquely with your specific needs. Emphasizing data ownership and compliance (like GDPR and HIPAA), it ensures your sensitive information remains private, away from commercial clouds, while offering advanced capabilities such as full-text search, AI-powered semantic search, knowledge analysis, relationship mapping, and temporal pattern detection to significantly enhance AI's contextual understanding.
Características Principales
- Advanced Memory Management: Includes storing, comprehensive searching (full-text and semantic), updating, and deleting memories.
- Privacy-First Local Memory Storage: Ensures data ownership and zero cloud dependencies.
- AI-Powered Intelligence Tools: Offers capabilities like answering questions, summarizing, analyzing patterns, and discovering relationships from stored memories.
- High-Performance FAISS Vector Search: Provides blazing-fast semantic similarity search for large datasets.
- Enhanced Temporal Analysis: Tracks learning progression, detects knowledge gaps, and generates timeline visualizations.
- 4 GitHub stars
Casos de Uso
- Empowering AI assistants with persistent, cumulative memory for personalized and context-aware interactions.
- Building specialized, private knowledge bases for specific domains, projects, or individual expertise.
- Ensuring data privacy and compliance (e.g., GDPR, HIPAA) by keeping sensitive AI context and memory on-premises.
