Memori
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Provides a modern web interface for managing, searching, and organizing AI conversation memories and knowledge.
Acerca de
Memori serves as an open-source context management system, offering a modern web interface to efficiently manage, search, and organize AI conversation memories and knowledge. It leverages advanced embedding techniques and Ollama's `nomic-embed-text` model for intelligent semantic search, allowing users to quickly retrieve context-aware information. With full CRUD operations, real-time updates, and category management, Memori empowers users to maintain a persistent, organized repository of their AI interactions and knowledge base, accessible via a responsive design and easily deployed with Docker.
Características Principales
- Persistent Storage with ChromaDB vector database
- Full CRUD Operations for memory entries
- Real-time Search with category filtering
- Semantic Search (utilizes Ollama's embedding model)
- Modern Web Interface (built with Flask and Tailwind CSS)
- 0 GitHub stars
Casos de Uso
- Storing and retrieving AI conversation histories
- Building a searchable knowledge base for AI context
- Organizing and categorizing AI-generated information
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