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by chrbailey • Uncategorized
An MCP server adding emotional memory and self-discrepancy analysis to AI agents.
Remember emotional context across multiple user sessions.
Detect when user behavior diverges from stated intentions.
Memory prioritization based on emotional intensity and human-in-the-loop governance.
MyPersona is a Python library and MCP server that enhances AI agents with emotional intelligence by tracking user mood, detecting divergences between stated values and revealed behavior, and storing memories that fade naturally over time. It uses a dual-engine architecture based on Self-Discrepancy Theory to predict user behavior more accurately and supports human-in-the-loop governance for intense memories. The system integrates with MCP-compatible clients and provides tools for mood detection, gap analysis, belief tracking, and introspective narration.