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license: mit
language:
- en
base_model:
- Qwen/Qwen3-4B-Instruct-2507
---
# AGI-3
## Artificial General Intelligence
<img src="agi/assets/AGI.png">
## Overview
This repository contains an implementation of a modular-agentic architecture for Artificial General Intelligence (AGI). The architecture is designed to facilitate the development of autonomous agents capable of complex reasoning, learning, and interaction with their environment.
# Example
```python
from agi.sophos import Agent
from agi.sophos_tools import *
toolbox = all_tools()
agent = Agent(
name="Sophos Agent",
instructions="You are an AI Agent.",
model="agi/Qwen3-4B-Instruct-2507-Q3_K_S.gguf",
tools=toolbox,
)
prompt = "Roll a dice, also whats the weather in Tokyo?"
response = agent.run(prompt)
print(response)
```
### Output:
```python
"""
You rolled a 4 on a 6-sided die. The weather in Tokyo is sunny with a temperature of 12°C during fall.
"""
```
## Research Paper
[Read the research paper](agi/assets/ArtificialGeneralIntelligence.pdf)
This paper delineates a comprehensive architectural framework for the progressive realization of Artificial General Intelligence (AGI), predicated upon a modular-agentic paradigm. We present a system design that integrates sophisticated tool-use capabilities, hierarchical memory management, dynamic code execution, and nascent world-modeling functionalities. The proposed architecture, exemplified through a lightweight `Qwen3-4B-Instruct-2507-Q3_K_S.gguf` model, demonstrates a robust foundation for emergent cognitive properties such as autonomy, recursive self-improvement, and goal-oriented behavior. Furthermore, we explore the theoretical underpinnings of consciousness as an emergent property within complex neural architectures and postulate pathways towards super-intelligence through advanced computational and embodied interaction modalities. The exposition maintains a rigorous academic tone, employing advanced terminology to articulate the intricate conceptual and technical facets of AGI development.
## Implementation
This is a more advanced implementation of the original AGI repository. It includes more tools, better memory management, and a more advanced agent structure.
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