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--- |
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license: mit |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen3-4B-Instruct-2507 |
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--- |
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# AGI-3 |
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## Artificial General Intelligence |
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<img src="agi/assets/AGI.png"> |
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## Overview |
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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. |
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# Example |
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```python |
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from agi.sophos import Agent |
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from agi.sophos_tools import * |
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toolbox = all_tools() |
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agent = Agent( |
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name="Sophos Agent", |
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instructions="You are an AI Agent.", |
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model="agi/Qwen3-4B-Instruct-2507-Q3_K_S.gguf", |
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tools=toolbox, |
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) |
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prompt = "Roll a dice, also whats the weather in Tokyo?" |
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response = agent.run(prompt) |
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print(response) |
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``` |
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### Output: |
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```python |
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""" |
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You rolled a 4 on a 6-sided die. The weather in Tokyo is sunny with a temperature of 12°C during fall. |
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""" |
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``` |
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## Research Paper |
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[Read the research paper](agi/assets/ArtificialGeneralIntelligence.pdf) |
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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. |
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## Implementation |
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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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