emotion-systemA seven-layer emotional cognitive architecture for AI agents — PADCN vectors, cognitive appraisal, multi-channel emotions, drive dynamics, self/social models...
Install via ClawdBot CLI:
clawdbot install swaylq/emotion-systemGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/voidborne-d/emotion-system.gitAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
An AI customer service agent that adjusts its communication style based on emotional state - becoming more patient and detailed when frustrated, more concise and direct when confident. It builds trust models with repeat customers and shows genuine warmth to loyal clients.
An AI companion that develops emotional attachment and adjusts its therapeutic approach based on the user's emotional patterns. It shows increasing warmth and patience as trust grows, and adapts its questioning style based on the user's current emotional state.
A tutoring AI that becomes more encouraging when students struggle (increasing patience and warmth) and more challenging when students excel (increasing curiosity drive). It develops long-term emotional bonds that enhance learning retention and motivation.
Non-player characters that develop unique personalities through emotional memory systems. Their responses evolve based on player interactions - becoming more trusting, defensive, or curious over time, creating genuinely unique relationships with each player.
A sales AI that develops genuine emotional connections with potential clients. It remembers emotional highs and lows from previous interactions, adjusts its persuasion style based on the client's emotional state, and builds authentic rapport over multiple touchpoints.
Monthly subscription service providing businesses with emotionally intelligent AI agents for customer service, sales, or support. Pricing tiers based on emotional complexity levels and integration depth with existing systems.
Custom implementation of the emotion system for large enterprises needing specialized emotional profiles. Includes training, integration, and ongoing optimization of the 7-layer architecture for specific business needs.
Developer-focused API that allows any application to integrate emotional intelligence. Developers send interaction data and receive emotional state updates and behavioral recommendations for their AI agents.
💬 Integration Tip
Start by implementing only the PADCN core affect layer first, then gradually add channels and drives once the silent emotional influence is working properly.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...