amygdala-memory

Name: amygdala-memory
Availability: InStock
Author: alvisdunlop

Persist five-dimensional emotional state in AI agents across sessions.

Updated Apr 14, 2026

Search Tags:#ai #memory #emotion #state-management #openclaw #amygdala #emotion-encoding

Ready to run

npx skills add https://github.com/AlvisDunlop/amygdala-memory --skill amygdala-memory

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: amygdala-memory
Source: https://github.com/AlvisDunlop/amygdala-memory/tree/main
Command: npx skills add https://github.com/AlvisDunlop/amygdala-memory --skill amygdala-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, python3, requests, base64, bc, curl, awk, and includes scripts (resource) components.

What problem does it solve?

Amygdala-memory provides an emotional processing layer for AI agents, enabling persistent states that influence behavior and responses across sessions, rather than resetting with each run.

Core Features & Use Cases

Persistent emotional state with five dimensions (valence, arousal, connection, curiosity, energy), baselines, and decay.
Automatic encoding of emotions from transcripts via SkillBoss API Hub, with per-dimension decay and optional cron scheduling.
Auto-injection into session context (AMYGDALA_STATE.md) and brain dashboard integration for real-time visibility.

Quick Start

Install the skill and run the install script to initialize emotional state and set up optional cron-based decay and encoding.

Frequently Asked Questions about amygdala-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I add persistent emotional memory to an AI agent across sessions?▼

Persistent emotional memory for AI agents is achieved by integrating a state management layer that encodes five emotional dimensions with per-dimension decay, ensuring mood and motivation biases persist across sessions rather than resetting.

What is emotional state encoding for autonomous agents?▼

Emotional state encoding translates agent transcripts into five emotional dimensions—valence, arousal, connection, curiosity, and energy—using an API hub to create a persistent mood baseline that influences future decision-making.

How do I set up emotional state decay for customer support virtual assistants?▼

You set up emotional state decay by running an install script that initializes baselines and optionally configures cron scheduling, automatically applying per-dimension decay to ensure natural long-term mood shifts for customer support agents.

Does emotional memory state management require specific system dependencies?▼

Yes, emotional memory state management requires python3, jq, requests, base64, bc, curl, and awk to handle deterministic API-driven encoding, transcript processing, and per-dimension state decay calculations.

What is the best way to monitor an AI agent's emotional state in real-time?▼

The best way to monitor an AI agent's emotional state in real-time is by using the brain dashboard integration, which auto-injects persistent emotional context into an AMYGDALA_STATE.md file for immediate visibility.

Are there limitations to using deterministic state management for agent emotions?▼

Deterministic emotional state management relies on safe defaults and robust logging to prevent erratic agent behavior, but it requires consistent API access for transcript encoding and scheduled cron jobs for accurate per-dimension decay.