Multi-agent memory MCP server for sharing typed memories

Multi-Agent Memory MCP Server for Sharing Typed Memories

This Go-based Multi-Agent Communication Protocol (MCP) server facilitates structured memory sharing between AI models. Designed for developers building complex AI systems, it provides a robust backend for agents to exchange and access typed memories. This is crucial for enabling coherent, multi-turn interactions and collaborative problem-solving among AI agents.

What it Does

The goldie-mcp server acts as a central repository and communication hub for AI agents. It allows agents to store, retrieve, and update memories in a structured, typed format. This ensures that information exchanged between agents is not only understood but also contextually relevant and correctly interpreted. By providing a standardized memory interface, it simplifies the integration of different AI models, including large language models like Claude Code and Codex, into a unified system.

Key Features

• Go-based Implementation: Built in Go for performance and concurrency, suitable for demanding AI applications.
• Structured Memory Sharing: Enables agents to share memories with defined types, ensuring data integrity and clarity.
• MCP Protocol: Adheres to the Multi-Agent Communication Protocol for standardized agent interaction.
• Developer-Focused: Designed with AI builders in mind, offering a technical solution for memory management.
• GitHub Source: Open-source and available on GitHub for inspection, modification, and contribution.

Who it's For

This tool is intended for AI developers and researchers working on multi-agent systems. It is particularly useful for those building applications that require agents to maintain a shared understanding of context, history, or domain knowledge. If you are developing AI agents that need to collaborate, learn from each other, or maintain long-term state, this MCP server provides the foundational memory infrastructure.