Remembrances MCP Server

Example Use Cases

• 1

  Long-term memory with multiple memory layers including key-value, vector, and graph databases.

• 2

  Local, privacy-first embedding generation with GPU acceleration using GGUF models.

• 3

  Semantic code indexing, searching, and manipulation across multiple programming languages.

Description

Remembrances-MCP is a server designed to enhance AI agents with long-term memory using multiple memory layers including key-value, vector/RAG, and graph databases via SurrealDB. It supports embedding generation locally with GGUF models, Ollama, or OpenAI API, ensuring privacy, performance, and cost efficiency. Additionally, it features a powerful code indexing system for semantic code search and manipulation across multiple programming languages, making it a versatile tool for AI memory and code understanding.