Cognitive CORE is an advanced template for building systems towards achieving Artificial General Intelligence (AGI). It stands for Comprehension, Orchestration, Reasoning, and Evaluation — the four pillars that provide a modular and scalable foundation for autonomous task execution and decision-making using natural language inputs.
The system is structured around the CORE principles, with each component serving a specific function in the task resolution process:
- Comprehension: Interprets user inputs and transforms them into structured tasks.
- Orchestration: Coordinates task flows between system components and manages the lifecycle of tasks.
- Reasoning: Applies logic and decision-making to process tasks and derive solutions.
- Evaluation: Assesses the outcomes of tasks for quality assurance and relevance to the original input.
Cognitive CORE is built using Python and integrates FastAPI for exposing its functionalities through HTTP endpoints, enabling easy access and extensibility.
Provide step-by-step instructions on setting up the project, including environment setup, dependencies installation, and how to start the server.
# Clone the repository
git clone https://github.com/Ian-Tharp/cognitive-core.git
# Navigate to the project directory
cd cognitive-core
# Install dependencies
pip install -r requirements.txt
# Start the server
uvicorn app:app --reload