Llama Goals

A terminal based AI-powered task planning and execution assistant that uses Ollama to generate responses. It helps users refine their goals, create detailed task plans, and guide them through task execution.

Features

• Interactive goal refinement through clarifying questions
• AI-generated task plans with detailed steps
• Task execution tracking
• Integration with Ollama for local AI model inference

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.7 or higher
• Ollama installed and running on your system

Installation

1. Clone this repository:

   git clone https://github.com/while-basic/Llama-Goals.git
   cd Llama-Goals
   

2. Ensure Ollama is installed and running on your system. Follow the Ollama installation guide if you haven't already set it up.

Usage

1. Start the Ollama service if it's not already running.

2. Run the main script:

   python goal_planner.py
   

3. Follow the prompts to input your goal and answer clarifying questions.

4. The assistant will generate a task plan and guide you through the execution of each task.

Configuration

• To change the Ollama model, modify the model parameter in the send_prompt function in main.py.
• The Ollama API endpoint is set to http://localhost:11434/api/generate by default. If your Ollama instance is running on a different address, update the OLLAMA_API_URL variable in main.py.

Contributing

Contributions to Llama Goals are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• This project uses Ollama for local AI model inference.