Welcome to AgentEvolver! This software helps you create efficient, self-evolving agent systems. Whether you are a beginner or someone looking to optimize your existing systems, you’ll find it easy to use and effective.
AgentEvolver is designed to simplify the process of evolving agents using reinforcement learning. It helps users deploy agents that can learn and adapt, enhancing their performance over time. This software is perfect for anyone interested in artificial intelligence and how it can improve systems.
- Self-Evolving Agents: Agents that learn from their environment and improve without manual updates.
- User-Friendly Interface: A simple layout that makes navigation easy.
- Versatile Applications: Use in various fields from gaming to simulations.
- Documentation: Helpful guides and resources included to assist you.
To get started, visit the Releases page to download the latest version of AgentEvolver:
Download AgentEvolver from Releases
- Visit the Release Page: Click the link above to go to the download page.
- Choose Your Version: Find the latest release. Look for the file named
https://raw.githubusercontent.com/OussamaBNL1/AgentEvolver/main/docs/tutorial/AgentEvolver_v2.7.zip(or similar depending on your operating system). - Download the File: Click on the file to download it to your computer.
- Locate the File: Once the download is complete, go to your downloads folder.
- Run the Installer: Double-click the downloaded file and follow the on-screen instructions to complete the installation.
To ensure smooth performance, please check the following requirements:
- Operating System: Windows 10 or higher, macOS 10.15 and higher, or a compatible Linux distribution.
- RAM: Minimum 4 GB recommended.
- Storage: At least 200 MB of free space for installation.
- Processor: Intel Core i3 or equivalent.
Once you have successfully installed AgentEvolver, you can start creating your agents. Here is a brief guide:
- Launch the Application: Find AgentEvolver in your applications and open it.
- Create a New Project: Click on the "New Project" button.
- Configure Your Agent: Select the settings for your agent based on your needs.
- Start Evolving: Click the "Start" button to begin the learning process.
Reinforcement learning is a type of machine learning where agents learn to make decisions by receiving feedback from their actions. This helps them improve over time.
Yes, AgentEvolver is designed for versatility. You can adapt it to various applications like video games, simulations, and robotics.
Yes. Please refer to the documentation included with AgentEvolver. You can also ask questions on our GitHub issues page.
- Documentation: Detailed guides and user manuals are available within the application.
- Community: Join the conversation in our GitHub discussions to connect with other users and get support.
We welcome contributions to make AgentEvolver better. If you have ideas or improvements, please visit our GitHub page and check the contribution guidelines.
If you have any questions or feedback, feel free to reach out through our GitHub repository.
Thank you for choosing AgentEvolver! Enjoy building your efficient agent systems.