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genpark-personal-agent-dunbar-relationship-cadence-skill

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
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SUMMARY

Personal Agent Dunbar Relationship Cadence - Zero-dependency Dunbar concentric layer social network classifier, exponential relationship half-life decay estimator, and thoughtful touchpoint scheduler.

README.md

genpark-personal-agent-dunbar-relationship-cadence-skill

Tests
License
Python
Dependencies
Coverage

GenPark Personal Agent Dunbar Relationship Cadence organizes personal contacts into Dunbar's concentric circles, computes relationship half-life decay, and schedules intentional reconnections without social spam.

flowchart TD
    A[Personal Contact Log & Closeness Scores] --> B[Dunbar Concentric Layer Classifier]
    B --> C[Support Clique 5 / Sympathy 15 / Affinity 50]
    D[Days Since Last Meaningful Touchpoint] --> E[Exponential Relationship Half-Life Decay Solver]
    E --> F[Warmth & Social Drift Risk Assessment]
    F --> G[Weekly Mindful Reconnection Schedule]

Features

  • Dunbar Circle Mapping: Classifies close friends vs broader network according to anthropological Dunbar constraints.
  • Half-Life Warmth Decay: Models realistic relationship entropy over time without artificial pressure.
  • Mindful Reconnection Cadence: Schedules authentic touchpoints within user-defined weekly cognitive bandwidth.

Quickstart

from client import PersonalAgentDunbarRelationshipCadence

cadence = PersonalAgentDunbarRelationshipCadence()
res = cadence.classify_dunbar_layer_and_cadence("friend_1", 0.90, 14)
print("Warmth Level:", res["relationship_warmth_level"])

FastMCP Integration

python -m genpark-personal-agent-dunbar-relationship-cadence-skill.mcp_server

License

MIT

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