What is Mcp Memory Bank?
Mcp Memory Bank is a context management system for Large Language Models (LLMs). It uses ChromaDB and embedding technologies to provide persistent, project-specific memory, improving AI understanding and responses.
How to use Mcp Memory Bank?
Clone the repository, install dependencies, and run the application with Docker. A one-command setup is available for quick deployment.
Key features of Mcp Memory Bank?
High-performance vector storage using ChromaDB. Project isolation with separate context spaces. Smart search, including semantic and keyword-based. Real-time updates for dynamic content. Precise recall via advanced embeddings. Easy deployment with Docker support.
Use cases of Mcp Memory Bank?
Managing context for AI applications. Enhancing LLM performance in specific projects. Facilitating semantic and keyword searches in large datasets.
FAQ from Mcp Memory Bank?
What technologies does Mcp Memory Bank use? It is built with ChromaDB and modern embedding technologies.
Is Mcp Memory Bank suitable for production use? Yes, it is designed to be production-ready with high performance and reliability.
How can I contribute to the project? Fork the repository, create a feature branch, and submit a pull request.