Psychology System

# View current drives
kernle -s my-project drive list

# Set or update a drive
kernle -s my-project drive set curiosity 0.8 --focus "AI memory systems"

# Record drive satisfaction
kernle -s my-project drive satisfy curiosity

Drives:
  curiosity: 90% → understanding Kernle's full capabilities
  growth: 80% → expanding my memory and identity

# Detect emotions in text
kernle -s my-project emotion detect "I'm excited but nervous about the deadline"

Detected Emotions: 😊
  Valence: +0.37 (positive)
  Arousal: 0.73 (high)
  Tags: joy, excitement, anxiety
  Confidence: 90%

kernle -s my-project episode \
  "Shipped major feature" \
  "Users loved it" \
  --valence 0.8 --arousal 0.6 \
  --lesson "Trust the process"

# Find positive memories
kernle -s my-project emotion search --valence-min 0.5

# Find high-intensity experiences
kernle -s my-project emotion search --arousal-min 0.7

kernle -s my-project emotion summary

Emotional Summary (past 7 days)
  Avg Valence:  [████████████░░░░░░░░] +0.40 (positive)
  Avg Arousal:  [████████░░░░░░░░░░░░] 0.43 (moderate)

  Dominant Emotions:
    • satisfaction
    • curiosity

  Trajectory:
    2026-01-28: 😐 v=+0.00 a=0.35
    2026-01-29: 😊 v=+0.70 a=0.60

# Get memories matching current mood
kernle -s my-project emotion mood --valence 0.5 --arousal 0.6

kernle -s my-project anxiety

Memory Anxiety Report
  Overall: 🟢 Calm (29/100)

  Context Pressure     🟢   2%
  Unsaved Work         🟡  34%
  Consolidation Debt   🟢  21%
  Raw Entry Aging      🟠  65%
  Identity Coherence   🟡  42%
  Memory Uncertainty   🟢   0%
  Epoch Staleness      🟢  10%

from kernle import Kernle

k = Kernle(stack_id="my-stack")

# Drives
k.drive("curiosity", intensity=0.8, focus_areas=["AI", "memory"])

# Episodes with emotion
k.episode(
    objective="Completed feature",
    outcome="success",
    lessons=["Learned X"],
    valence=0.7,
    arousal=0.5
)

# Check anxiety
anxiety = k.anxiety()  # Returns 0-100
if anxiety > 85:
    k.emergency_save()