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

MCP

Enables organizing personal contacts into concentric social layers, estimating warmth decay via an exponential half-life model, and scheduling mindful reconnection touchpoints within a weekly cognitive bandwidth.

@Alpha-Park · MIT License · updated today

SECURITY

B

SCORE

60

STARS

▲ 7

PLUG IN

git clone https://github.com/Alpha-Park/genpark-personal-agent-dunbar-relationship-cadence-skill.git

See the README to configure this MCP server

README

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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