Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
MindCore
Biomimetic emotional mind engine for AI Agents. Provides human-like emotional responses through a 5-layer neural conduction pipeline (L0 Stochastic Noise → L...
skill openclawclawhub Free
Biomimetic emotional mind engine for AI Agents. Provides human-like emotional responses through a 5-layer neural conduction pipeline (L0 Stochastic Noise → L...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/ARCHITECTURE.md, references/CHANGELOG.md, references/CUSTOMIZATION.md, references/INTEGRATION.md, references/README.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- fatcatMaoFei
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
MindCore — Biomimetic Subconscious Engine
Give your AI agent autonomous thoughts, emotions, and spontaneous impulses.
What It Does
MindCore is a standalone background daemon that simulates a subconscious mind. It rolls dice every second, modeling the random emergence of thoughts like "I want milk tea", "I'm bored", or "I suddenly want to chat". When a thought's probability accumulates past the firing threshold, the engine outputs a JSON signal telling your AI Agent: "I have something to say."
Architecture
Layer 0: Noise Generators (3000 nodes) ├── Pink Noise (1/f, long-range correlation) ├── Ornstein-Uhlenbeck (physiological baseline) ├── Hawkes Process (emotional chain reaction) └── Markov Chain (attention drift) ↓ Layer 1: Sensor Layer (150 sensors) ├── Body State (hunger/fatigue/bio-rhythms) ├── Environment (time/weather/noise) └── Social Context (interaction/neglect) ↓ Layer 2: Impulse Emergence (150 impulse nodes) ├── Synapse Matrix (sensor → impulse mapping) ├── Sigmoid Probability + Mood Modulation └── Dice Roll → Random Firing ↓ Layer 3: Personality Gate (Softmax Sampling) ├── Learnable Personality Weights └── Short-Term Memory Topic Boost ↓ Layer 4: Output Template → JSON signal
Quick Start
# Install dependencies pip install -r requirements.txt # Start the engine python main.py Requires Python 3.8+. On first run, automatically downloads all-MiniLM-L6-v2 local NLP model (~80MB) for synapse matrix generation.
Key Features
150 Daily Impulses across 9 categories (food, social, entertainment, etc.) Stochastic, Not Scheduled — Pink Noise + Hawkes Process + Sigmoid probability Circadian Rhythms — real clock-driven hunger/thirst/sleep cycles Short-Term Memory — 5-slot FIFO buffer with 2-hour exponential decay Mood Baseline — continuous valence modulation of impulse probability Tunable Frequency — single BURST_BASE_OFFSET parameter controls activity
Integration
MindCore outputs standard JSON and is designed for OpenClaw but compatible with any AI Agent framework that supports external signal injection. See references/INTEGRATION.md for detailed integration guide.
File Structure
main.py — Entry point and engine loop engine/ — Core 5-layer pipeline implementation engine_supervisor.py — Process supervisor for daemon mode data/ — Runtime data (sensor state, synapse matrix, memory) js_bridge/ — JavaScript bridge for OpenClaw integration
License
AGPL-3.0 (commercial licensing available — contact zmliu0208@gmail.com)
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- references/ARCHITECTURE.md
- references/CHANGELOG.md
- references/CUSTOMIZATION.md
- references/INTEGRATION.md
- references/README.md