Aleph-10: Vector Memory MCP Server

what is Aleph-10?

Aleph-10 is a Model Context Protocol (MCP) server that combines weather data services with vector-based memory storage capabilities, allowing users to retrieve weather information and manage semantic memory through vector embeddings.

how to use Aleph-10?

To use Aleph-10, clone the repository, install dependencies, configure environment variables, build the project, and run the server. You can then access various weather and memory tools through the server.

key features of Aleph-10?

• Weather Information: Get weather alerts and forecasts using the National Weather Service API.
• Vector Memory: Store and retrieve information using semantic search.
• Multiple Embedding Options: Support for both cloud-based (Google Gemini) and local (Ollama) embedding providers.
• Metadata Support: Add and filter by metadata for efficient memory management.

use cases of Aleph-10?

1. Retrieving real-time weather alerts for specific locations.
2. Storing and managing semantic memory for applications requiring context-aware information retrieval.
3. Utilizing vector embeddings for advanced search capabilities in various applications.

FAQ from Aleph-10?

• Can Aleph-10 handle multiple embedding providers?

Yes! Aleph-10 supports both Google Gemini and Ollama for vector embeddings.

• Is there a specific Node.js version required?

Yes, Node.js 18.x or higher is required to run Aleph-10.

• How can I get weather forecasts?

You can use the get-forecast tool by providing the latitude and longitude of the desired location.