Memory Bank
Provides Large Language Models (LLMs) with project-specific, persistent memory capabilities to enhance understanding and response quality.
About
Memory Bank is a robust context management system for Large Language Models (LLMs), leveraging ChromaDB and modern embedding technologies. It offers persistent, project-specific memory, improving AI's understanding and response accuracy. With features like project isolation, smart search, and real-time updates, it's designed for high performance and easy deployment, making it a valuable tool for managing LLM context in production environments.
Key Features
- Dynamic content management with automatic chunking
- Optimized vector storage with ChromaDB
- Separate context spaces for different projects
- Advanced embedding generation via @xenova/transformers
- Semantic and keyword-based search capabilities
- 3 GitHub stars
Sponsored