Uses .env files for configuration of Ollama host and database path settings.
Runs as a Node.js application and is required as a prerequisite (v18 or later).
Uses Ollama for generating embeddings with the nomic-embed-text model to enable semantic search across memory entries.
Stores memory data in SQLite database with tables for projects, memories, embeddings, tags, and relationships.
Built with TypeScript for type safety and compiled to JavaScript for execution.
Provides runtime type checking and validation for the MCP server's data structures.
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
A long-term memory storage system for LLMs that helps them remember context across multiple sessions using semantic search with embeddings to provide relevant historical information from past interactions and development decisions.
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