Memvid

About

This tool acts as an MCP server for Memvid, providing AI agents with a robust system for persistent, file-based memory. It allows for the creation and management of isolated memory files for distinct projects, enabling agents to store and retrieve various types of content including text documents, code snippets, and metadata. Agents can perform hybrid lexical and semantic searches to find relevant information and, optionally, leverage a large language model to answer natural language questions about the stored data, thereby significantly enhancing their contextual understanding and capabilities.

Key Features

• Project-based Memory: Create and manage isolated memory files for different projects.
• Semantic Search: Find relevant content using Memvid's hybrid lexical and semantic search.
• 2 GitHub stars
• Add Content: Store text documents, code snippets, and metadata into memory.
• Ask Memory: Optionally ask natural language questions about stored data using an LLM (requires OpenAI API Key).
• Memory Deletion: Delete entire project memories when no longer needed.

Use Cases

• Enabling AI agents to answer complex questions based on a curated knowledge base of stored project data.
• Storing and retrieving code snippets, documentation, and project details for AI assistance in development workflows.
• Providing AI agents with long-term, project-specific memory for enhanced context.