An intuitive and lightweight framework for creating autonomous agents in dynamic environments.
Autonix is a powerful yet simple framework designed to make building autonomous agents accessible to everyone. Whether you're an AI enthusiast, student, or developer, Autonix enables you to create intelligent systems that can perceive, decide, and act in dynamic environments.
Key capabilities of Autonix include:
- Designing agents with complex behaviors
- Simulating interactions in custom-built environments
- Enhancing learning and decision-making processes
- 🤖 Agent Customization: Create agents with unique logic and memory capabilities
- 🌐 Environment Interaction: Simulate dynamic environments with ease
- 🧠 Memory Management: Integrate memory for decision-making and adaptation
- 🔄 Modular Design: Use only the components you need
- 🚀 Beginner-Friendly: Start small and scale as your project grows
- 🛠️ Open-Source: Modify and extend the framework freely
- Python 3.6 or higher
- Basic understanding of Python programming
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Clone the repository:
git clone https://github.com/AutonixAI/Autonix.git cd Autonix -
Install dependencies:
pip install -r requirements.txt
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Run the example project:
python autonix/examples/run_example.py
For detailed setup instructions, see our Getting Started Guide.
Explore our comprehensive documentation for in-depth guidance:
- Getting Started Guide: First steps and basic setup
- Framework Architecture: Core components and design principles
- Custom Agents: Build agents with unique logic
- Environment Design: Create custom environments
- Memory Module: Manage agent memory and history
- Roadmap: Planned features and updates
- Supported Languages: Python 3.6 and above
- Modularity: Use core modules independently or in combination
- Dependencies: Minimal external libraries (e.g., NumPy)
- Storage: Lightweight, JSON-based local storage for agent data
For complete technical details, see our Configuration Guide.
We welcome contributions to make Autonix even better! Check out our Contributing Guide for:
- Contribution process
- Coding standards
- Pull request guidelines
Join the Autonix community and help shape the future of AI development!
This project is licensed under the MIT License - see the LICENSE file for details.
A big thank you to:
- The open-source community
- All contributors and supporters
- Twitter: @autonixai
- GitHub: github.com/AutonixAI/Autonix