I Gave Claude a Memory That Survives Between Conversations — Here’s the MCP Server That Does It

A developer built and tested an MCP server that gives AI agents persistent long-term memory, enabling them to remember facts and preferences across conversations. The system reinforces frequently used memories, decays and forgets unused ones, and merges duplicates, with all logs captured from real executions over the MCP protocol.

Member-only story I Gave Claude a Memory That Survives Between Conversations — Here’s the MCP Server That Does It A tested, running MCP server that gives any AI agent persistent long-term memory — it remembers facts and preferences, reinforces the ones you actually use, decays and forgets the ones you don’t, and merges duplicates — with every log in this article captured from a real execution over the real MCP protocol Estimated reading time: 19–23 minutes Table of Contents - Introduction - Problem Statement - Background - Core Concepts - Technology Deep Dive - Architecture - Mini Project: An Agentic Long-Term Memory MCP Server - Implementation - Code Walkthrough - Testing - Performance - Limitations - Best Practices - Common Mistakes - Production Considerations - Future Improvements - Conclusion - Further Reading - Official References