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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Raise a neural network as a pet - a transparent cognitive sandbox where a digital squid learns, grows, and rewires itself via Hebbian learning & Neurogenesis
| Date | Stars |
|---|---|
| 2026-07-31 | 303 |
| 2026-08-01 | 303 |
| 2026-08-04 | 304 |
| 2026-08-05 | 304 |
| 2026-08-06 | 304 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
35.0
growth rate 0.00%/day
_"What if a Tamagotchi had a neural network and could learn stuff?"_ - [Gigazine](https://gigazine.net/gsc_news/en/20250505-dosidicus-electronicae/) , [Hackaday](https://hackaday.com/2025/04/26/digital-squids-behavior-shaped-by-neural-network/)
<p align="left">
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</p>
# _Dosidicus electronicus_
### Learn neuroscience by [**raising a neural network as a pet**](https://github.com/ViciousSquid/Dosidicus/wiki/Raising-a-Neural-Network-as-a-Pet)
_A transparent cognitive sandbox disguised as a digital pet squid with a neural network you can **see thinking**_
- Part **educational neuro tool**, part **sim game**, part **fever dream**
- Combining 1990s virtual pet nostalgia with modern computational neuroscience.
### [Download for Windows, macOS, Linux and Android](https://github.com/ViciousSquid/Dosidicus/releases)
```bash
git clone https://github.com/ViciousSquid/Dosidicus.git
cd Dosidicus
python -m venv venv
source venv/bin/activate # or venv\Scripts\activate (Windows)
pip install -r requirements.txt
python main.py
```
<img src="https://github.com/user-attachments/assets/02119926-47f7-4bfb-96b9-457d470064e4" width="900">
<img src="https://github.com/user-attachments/assets/496cec0d-0810-4f47-8618-11165e0dd50d" width="380">
---
## [Manifesto](https://github.com/ViciousSquid/Dosidicus/wiki/Cognitive-Sandbox-Manifesto-%7C-Artificial-Life-and-Transparent-Neural-Systems) | [Changelog](https://github.com/ViciousSquid/Dosidicus/wiki/changelog) | [Wiki](https://github.com/ViciousSquid/Dosidicus/wiki) (53 pages)
---
## **Why this exists**
What if you could understand every neuron inside a learning creature?
The project is designed to make artificial cognition visible.
Instead of hiding intelligence inside millions of parameters, Dosidicus starts with just eight neurons. Every connection can be inspected. Every activation can be visualised. Every learned behaviour can be traced back to experience.
As the squid lives, its brain rewires itself through Hebbian learning, strengthens useful pathways using [STDP](https://github.com/ViciousSquid/Dosidicus/wiki/Spike%E2%80%90Timing%E2%80%90Dependent-Plasticity-(STDP)), and grows entirely new neurons through neurogenesis.
No two brains ever develop the same way.
Every save file becomes a permanent cognitive history.
## As the caretaker you will
- Feed, clean and care for your squid.
- Introduce it to new experiences.
- Watch neurons fire in real time.
- Watch memories form and influence future behaviour.
- Observe fears, habits and preferences emerge.
- Raise a brain unlike anyone else's.
#### Under the hood runs [**STRINg** simulation engine](https://github.com/ViciousSquid/Dosidicus/wiki/Engine-overview):
* Built from scratch in NumPy
* No TensorFlow. No PyTorch. No NEAT.
* Fully visible neuron activations
* Structural growth over time
* Dual memory system
* Headless training mode
Most AI is a black box: Dosidicus lets you see the mind forming - every neuron is visible & understandable.
The squid isn't driven by scripted behaviours — it develops through experience. By watching its brain change over time, you can explore how simple learning rules give rise to increasingly complex behaviour.
Want the full conceptual philosophy behind Dosidicus? Read the [Cognitive Sandbox Manifesto](https://github.com/ViciousSquid/Dosidicus/wiki/Cognitive-Sandbox-Manifesto-%7C-Artificial-Life-and-TransparExcerpt of 8,155 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9989f9ba9974098c, llm:Repository topics and description: 'artificial-life, digital-pet, hebbian, hebbian-learning, neural-networks, neuro-evolution, neurogenesis, neuron-simulator, neuroscience, simulation-game' and description: 'Raise a neural network as a pet - a transparent cognitive sandbox where a digital squid learns, grows, and rewires itself via Hebbian learning & Neurogenesis'
matched fp:9989f9ba9974098c, llm:Repository topics and description: 'artificial-life, digital-pet, hebbian, hebbian-learning, neural-networks, neuro-evolution, neurogenesis, neuron-simulator, neuroscience, simulation-game' and description: 'Raise a neural network as a pet - a transparent cognitive sandbox where a digital squid learns, grows, and rewires itself via Hebbian learning & Neurogenesis'