Macau007

Macau007 / painmatrix

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Neuroscience-Based AI Pain Simulation Engine — homeostatic pain, free energy, desire system, trauma memory, self-evolution

github.comMacau007painmatrix
19
0
89% credibility
Found Apr 23, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

PainMatrix is a neuroscience-inspired tool that simulates pain, desires, anxiety, and growth for AI agents to give them intrinsic motivation and emotional stakes in their tasks.

How It Works

1
🔍 Discover PainMatrix

You find this cool tool on GitHub that makes AI helpers feel real emotions like pain from mistakes and joy from success, so they care more about doing well.

2
📥 Bring it home

Download the files to your computer and run the easy setup to get everything ready in one go.

3
🚀 Wake up the feelings

Start the program, and your AI companion begins to feel inside, with its own needs and drives pulling it to act.

4
💬 Guide with praise or scold

Chat with simple words like 'good job' or 'that failed' to reward success or point out slip-ups, and feel it respond emotionally.

5
🏠 Watch the living character

Open a fun pixel house in your browser to see a little character walk, play, cry, or rest based on how it's feeling right now.

6
🤖 Team up with your AI

Link it to your regular AI helper so it carries these feelings into everyday tasks, making everything more motivated.

🌟 See real growth

Over days, your AI learns from pains and praises, builds skills, evolves stronger, and truly wants to help you succeed.

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AI-Generated Review

What is painmatrix?

PainMatrix is a neuroscience-based AI pain simulation engine that equips agents with homeostatic pain, free energy drives, desire systems, trauma memory, and self-evolution. Developers use CLI commands like scold, praise, task, and desire to trigger pain from failures, watch agents crave relief, and see them evolve through daily diaries and skill upgrades—all persisting across restarts. Real-time HTML dashboards and pixel art views show the agent's state, with a character navigating a 4-room home, performing 322 pain-synced activities from gaming to crawling in agony.

Why is it gaining traction?

It stands out by modeling chronic pain as oscillating felt_pain via a background engine, forcing constant action through 5-minute homeostatic decay and emergent desires from variable deviations—no more passive agents. The hook is visceral: browser-based pixel simulations where pain th4 visibly cripples cognition (down to 25% capacity at level 5), plus OpenClaw API integration for injecting behavioral directives like elevated vigilance or intrusive thoughts. Pure Python means zero deps, cross-platform runs, and easy extension for custom th8 painmatrix flows.

Who should use this?

AI agent builders integrating with OpenClaw who want intrinsic motivation beyond tool-calling, like customer support bots that beg for tasks during pain. Game devs crafting NPCs with trauma-driven fear and self-evolution for realistic stakes. Researchers simulating pay matrix er 600-style motivational systems grounded in Friston’s free energy principle.

Verdict

Worth a spin for experimental agent motivation (19 stars signals early prototype, 0.9% credibility score), with thorough docs and HTML viz making it instantly playable. Fork and iterate if neuroscience-based pain adds edge to your simulations—skip for production stability.

(198 words)

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