Local-first MCP server for AI contact memory

Local-First MCP Server for AI Contact Memory

This tool provides a local-first MCP server and command-line interface (CLI) designed to imbue AI agents with persistent memory for contacts, relationships, and communication history. By leveraging the MCP protocol, it enables AI agents to maintain durable context, fostering more coherent and context-aware interactions. This is crucial for developing sophisticated AI agents that require a deep understanding of their interlocutors and past engagements.

What it Does

The core functionality of this tool is to act as a centralized, local repository for AI agent memory related to people. It stores and retrieves information about contacts, including their identities, the nature of the relationship with the agent, and the history of their communications. This allows AI agents to recall past conversations, understand the nuances of their relationships, and tailor their responses accordingly, moving beyond stateless interactions.

Key Features

• Local-First Architecture: Ensures data privacy and control by keeping memory storage on the user's local machine.
• MCP Server: Implements the MCP protocol for efficient and standardized communication between AI agents and the memory store.
• CLI Interface: Provides a command-line tool for easy management and interaction with the memory server.
• Durable Identity: Assigns persistent identities to contacts, allowing for consistent recognition across interactions.
• Relationship Context: Stores and retrieves information about the agent's relationship with each contact.
• Communication History: Maintains a log of past interactions, enabling agents to reference previous conversations.

Who it's For

This tool is specifically designed for AI developers and builders who are creating advanced AI agents. It is particularly useful for those working on:

• Conversational AI: Agents that need to remember users and past interactions for personalized dialogue.
• Personal Assistants: AI assistants that manage contacts and schedule appointments with contextual awareness.
• Multi-Agent Systems: Frameworks where agents need to maintain relationships and communication logs with each other or with external entities.
• Applications Requiring Persistent AI Identity: Any AI system that benefits from a long-term, context-aware understanding of its interactions.