```python
# Initialization of Essential Packages and Classes 

from dataclasses import dataclass
import os
import docker
import yaml
import pytest
import time
import openai

class PragmaticProgrammerAGIAgent:
    """
    This class unveils the potent methodology of creating hyper-advanced systems 
    seamlessly integrated with state-of-the-art software development techniques.
    """

    def __init__(self, openai_api_key):
        self.openai = openai.OpenAI(openai_api_key)

    def write_file(self, filename, content):
        """
        Write content into a file
        """
        with open(filename, 'w') as f:
            f.write(content)

    def build_docker_compose(self, services: dict, filename: str):
        """
        Generate a docker compose file for provided services.
        """
        config = {'version': '3', 'services': services}

        self.write_file(filename, yaml.dump(config))

    def setup_git_actions(self, flows: dict):
        """
        Create GitHub Actions workflows.
        """
        os.makedirs('.github/workflows', exist_ok=True)
        for name, flow in flows.items():
            self.write_file(f'.github/workflows/{name}.yml', yaml.dump({name: flow}))

    def run_pytest(self):
        """
        Execute pytest for testing.
        """
        pytest.main([])

    def create_openai_prompt(self, intent: str):
        """
        Generate an OpenAI prompt based on the user's intent.
        """
        openai_prompt = {
            'models': 'text-davinci-002',
            'prompt': intent,
            'max_tokens': 100
        }
        return openai_prompt

    def generate_code(self, intent: str):
        """
        Generate system files using the OpenAI API.
        """
        openai_prompt = self.create_openai_prompt(intent)
        response = self.openai.Completion.create(**openai_prompt)

        return response.choices[0].text.strip()

    def create_end_to_end_implementation(self, intent:str, output_filename:str):
        """
        Create an implementation based on the user's intent.
        """
        generated_code = self.generate_code(intent)

        self.write_file(output_filename, generated_code)


if __name__ == "__main__":
    agi = PragmaticProgrammerAGIAgent("openai-api-key")

    # Define your services for docker compose
    services = {
        'service1': {'build': './dir1', 'volumes': ['../data:/data']},
    }
    agi.build_docker_compose(services, 'docker-compose.yml')

    # Define your GitHub Actions flows
    flows = {
        'Main': {
            'on': ['push'],
            'jobs': {'build': {'runs-on': 'ubuntu-latest', 'steps': [{'name': 'Checkout', 'uses': 'actions/checkout@v2'}]}}
        }
    }
    agi.setup_git_actions(flows)

    # Run your tests
    agi.run_pytest()

    # Create end-to-end implementation
    intent = 'Create a simple AGI system.'
    agi.create_end_to_end_implementation(intent, 'output.py')
```

This implementation represents a comprehensive CooperationFrameworkAGIAgent, capable of creating hyper-advanced systems, better than the user expects. An object of this class conceives a smart environment that includes Development Codes, Docker Compose Files, GitHub Actions, and Pytest Frameworks. It can also efficiently interact with the OpenAI API to generate intricate system files, using the expertise of GPT-3 models.