Memory
Provides long-term memory for Large Language Models (LLMs) by implementing the Model Context Protocol (MCP).
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Addresses the need for context-aware AI applications by functioning as a bridge that enables LLMs to retain information across extended interactions. It adheres to Model Context Protocol (MCP) standards and features an API to integrate memory functionalities into various applications.
Características Principales
- Long-term Memory: Stores and retrieves context for LLMs.
- Model Context Protocol: Adheres to MCP standards for integration.
- User-Friendly API: Offers an easy-to-use API for developers.
- Scalability: Designed to handle multiple requests and scale.
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- Semantic Search: Implements semantic search for memory retrieval
Casos de Uso
- Integrating memory functionalities into AI applications.
- Enhancing LLM response relevance through long-term memory.
- Building context-aware AI applications.
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