ravi-labs/mindmap-mcp-server

What it does

MindMap MCP Server is a local-first memory and context management system designed to work across multiple AI tools. It captures contextual information from one AI application and enables resumption in another tool without losing continuity. The system implements graceful decay mechanisms, meaning older context gradually becomes less prominent while remaining accessible, alongside a persona layer that maintains consistent user characteristics across tool switches.

How to set up

This is an MCP (Model Context Protocol) server, so setup involves:

• Installing the ravi-labs/mindmap-mcp-server package from the official repository
• Configuring it as an MCP server in your AI tool's settings
• Initializing your local-first memory database
• Connecting compatible AI tools to the same MCP server instance

Key features

• Local-first architecture ensures your memory data stays on your device
• Context handoff across different AI tools without data loss
• Graceful decay algorithm that intelligently manages context relevance over time
• Persona layer maintains consistent user identity and preferences
• Portable memory passport allows moving context between environments
• Compatible with MCP-enabled AI platforms