JamesANZ/memory-mcp

Overview

An open-source Model Context Protocol server written in TypeScript that stores and retrieves conversation memories across multiple large language models. It provides a simple API for persisting and recalling context, enabling LLMs to maintain state between interactions.

Best for

Best for
Developers who need a lightweight, standards-based memory layer for LLM applications

Use cases

• Adding persistent memory to multi-turn LLM conversations
• Sharing context across different chat sessions or models
• Building applications that require long-term recall of user interactions

Notes

An open-source Model Context Protocol server written in TypeScript that stores and retrieves conversation memories across multiple large language models. It provides a simple API for persisting and recalling context, enabling LLMs to maintain state between interactions.

17 stars on GitHub. Last updated 2025-12-10. Licensed MIT.

Use cases

• Adding persistent memory to multi-turn LLM conversations
• Sharing context across different chat sessions or models
• Building applications that require long-term recall of user interactions

Pros

• Straightforward MCP server design with clear functionality
• Written in TypeScript for type safety and broad compatibility
• Open-source with an MIT license allowing free use and modification

Cons

• Early-stage project with only 17 stars on GitHub, limited community validation
• Minimal documentation and no listed examples or usage guides
• No built-in persistence beyond the server process (likely in-memory storage)

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.