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Individuation Scoring

Individuation scoring measures your profile’s maturity across the memory system. Named after Carl Jung’s concept of individuation — the process of becoming a complete, integrated self — this subsystem tracks four components that together paint a picture of how effectively you use memory, learning, collaboration, and self-reflection.
Individuation scores are calculated via pure SQL queries with results cached in-memory for 60 minutes (configurable). No LLM calls are made during score calculation.

The Four Components

Each component is scored from 0 to 25, for a total score of 0 to 100.
What it measures: How diverse and durable your memory store is.Sub-components:How to improve:
  • Use different tool types to build memory across all ring types (procedures, habits, long-term, shocks)
  • Build high-quality memories that survive the decay engine
  • Learn from failures (shock memories with eventual recovery)

Five Maturity Levels

Your total score maps to one of five maturity levels: Individuation scores are snapshot daily (automatically at session start) and compared over two-week windows:

Actionable Tips

The API returns a contextual tip based on your weakest component:

API Reference

Get Individuation Score

Response:

Get Score History

Response:

SDK Usage

MCP Tool

The pluggedin_memory_individuation MCP tool returns your score in a format optimized for AI agent consumption:

Caching

Individuation scores are cached in-memory with a configurable TTL (default 60 minutes). This means:
  • The first request after cache expiry triggers a fresh SQL calculation
  • Subsequent requests within the TTL return the cached result instantly
  • Session start automatically calculates and caches the score
  • Daily snapshots use the freshly calculated score (not the cache)

Configuration

Next Steps

Archetype System

How patterns are classified by archetype

Jungian Intelligence Overview

See how individuation ties into the full system