Persistent memory for Claude: MCP server with associative memory and fact cortex

Persistent Memory for Claude: MCP Server with Associative Memory and Fact Cortex

This MCP server provides a robust solution for integrating persistent long-term memory into Claude AI models. Designed for developers, it leverages an associative memory bank and a canonical fact cortex to enable Claude to retain and recall information across interactions, significantly enhancing its contextual understanding and consistency.

What it Does

The core functionality of this MCP server is to equip Claude with a persistent memory system. Unlike standard LLM interactions that are largely stateless, this tool allows Claude to build a knowledge base over time. The associative memory bank stores past interactions and learned information, enabling Claude to recall relevant details from previous conversations. The fact cortex acts as a structured repository for verified facts, ensuring Claude can access and utilize accurate information reliably.

Key Features

• Persistent Long-Term Memory: Enables Claude to remember information across multiple sessions.
• Associative Memory Bank: Stores and retrieves contextually relevant past interactions and learned data.
• Canonical Fact Cortex: Provides a structured, verifiable source of facts for consistent and accurate responses.
• MCP Server Architecture: Integrates seamlessly into existing MCP-based development workflows.
• Developer-Focused: Designed for technical users looking to enhance AI agent capabilities.

Who it's For

This tool is specifically for AI developers and researchers working with Claude. It is ideal for those building advanced AI agents, chatbots, or any application requiring Claude to maintain a consistent persona, learn from user feedback, or access a curated knowledge base. If you are developing complex AI systems that demand contextual awareness and long-term knowledge retention, this MCP server offers a powerful and practical solution.