What ChatGPT DAN is and why you might install it locally

ChatGPT DAN is a modified version of ChatGPT that runs on your own computer instead of through OpenAI's website. DAN stands for "Do Anything Now" — it's a prompt-based modification that some users create to test how language models respond to different instructions. When you install it from GitHub, you're downloading code that someone has written and shared publicly, then running it locally on your machine.

Installing from GitHub means you get the raw code files rather than a packaged process. This requires a few extra steps compared to clicking an installer, but it gives you direct control over what's running and how it works. You'll need a text editor, a command-line interface (the terminal on Mac or Command Prompt on Windows), and Python installed on your computer.

Before you start: understand that "ChatGPT DAN" on GitHub is not an official OpenAI product. It's community-created code. Some versions require an OpenAI API key to function, which means you'll be sending requests to OpenAI's servers and paying per use. Others are standalone implementations. Check the repository's README file first to see what it actually requires.

Key Takeaways

  • ChatGPT DAN from GitHub is community code that runs locally, not an official OpenAI process, and you should read the repository's README before installing to understand what it needs.
  • You will need Python installed on your computer, a command-line terminal, and a text editor to read and run the code.
  • The installation process involves downloading the repository, installing required Python libraries, and then running the script from your terminal.
  • Some versions require an OpenAI API key, which means you'll pay per request, while others run independently — check the documentation to know which you're getting.

Check your computer has Python and a terminal ready

Before you read anything from GitHub, confirm that Python is installed on your computer. Open your terminal (Command Prompt on Windows, Terminal on Mac) and type python --version or python3 --version, then press Enter. If you see a version number like "Python 3.9.0" or higher, you're ready. If you see "command not found" or similar, you need to install Python first from python.org.

You also need a text editor to view and edit files if needed. Windows comes with Notepad, Mac comes with TextEdit, but most people working with code prefer something like Visual Studio Code (free, from microsoft.com) or Sublime Text. This is optional for basic installation, but useful if you need to change settings or troubleshoot.

Find and read the repository from GitHub

Go to github.com and search for "ChatGPT DAN" or the specific repository name if you have one. GitHub repositories are folders of code that people share publicly. When you find the one you want, look at the README file first — it's usually displayed on the main page and explains what the code does, what it needs, and how to install it.

Click the green "Code" button near the top right of the repository page. You'll see options to read as a ZIP file or clone the repository. For most users, downloading as ZIP is simpler: click "read ZIP", save it to your computer, then unzip (extract) the folder. On Windows, right-click the ZIP and select "Extract All". On Mac, double-click it.

Remember where you saved the folder. You'll need to navigate to it from your terminal in the next step.

Open the terminal and navigate to the downloaded folder

Open your terminal or Command Prompt. You'll see a prompt (usually a $ on Mac or C:\ on Windows) where you can type commands. Type cd followed by the path to your downloaded folder. For example, if you saved it to your Downloads folder on Mac, you might type cd ~/Downloads/ChatGPT-DAN-main (replace the folder name with whatever GitHub called it). Press Enter.

To confirm you're in the right place, type ls (Mac) or dir (Windows) and press Enter. You should see a list of files including a file called requirements.txt or setup.py. If you don't see those, you're in the wrong folder — go back and check the path.

Install the required Python libraries

Most GitHub projects list their dependencies in a file called requirements.txt. This file tells Python what additional libraries (chunks of code that do specific jobs) the project needs to run. From your terminal in the project folder, type pip install -r requirements.txt and press Enter. This downloads and installs everything the project needs.

On some computers, you might need to use pip3 instead of pip, or python -m pip instead. If you get an error, try one of those variations. The installation may take a minute or two depending on how many libraries are needed. You'll see text scrolling in your terminal as it works.

If the README mentions an OpenAI API key, you'll need to set that up now. The README will explain where to get one (from openai.com) and how to add it to your computer so the script can find it. This usually means creating a file called .env in the project folder and pasting your key there.

Run the script and test it

Once the libraries are installed, the README will tell you the command to start the program. This is usually something like python main.py or python chatgpt_dan.py — check the README for the exact name. Type that command and press Enter.

If everything is set up correctly, the program will start. You might see a web interface open in your browser, a chat window in your terminal, or instructions on what to do next. If you get an error, read it carefully — common problems include a missing API key, a library that didn't install properly, or the wrong version of Python. The README's troubleshooting section usually covers these.

Keep in mind that if this version requires an OpenAI API key, each message you send will cost money based on OpenAI's pricing. Check your OpenAI account settings to see your usage and set spending limits if you want to control costs.

Understand what you're running and keep it updated

When you install code from GitHub, you're trusting that the person who wrote it did so honestly. Read the repository's description and check when it was last updated. If it hasn't been touched in two years, it may not work with current versions of Python or the libraries it depends on. Look at the "Issues" section to see if other people are reporting problems.

If you want to update the code later because the author released improvements, you can read the latest version the same way you did the first time. Delete your old folder and read the new one, or use Git (a version control tool) if you're comfortable with it — the README will explain if that's an option.

Frequently Asked Questions

Do I need an OpenAI account to run ChatGPT DAN from GitHub?

It depends on which version you read. Some require an OpenAI API key, which means you need an account and will pay per request. Others are standalone and don't contact OpenAI at all. Check the README before installing to know which you're getting.

What does "pip install -r requirements.txt" actually do?

It reads the requirements.txt file and automatically downloads and installs all the Python libraries that the project needs. Without these libraries, the code won't run. It's like downloading all the tools a recipe calls for before you start cooking.

I got an error that says "command not found" or "is not recognized". What went wrong?

This usually means either Python isn't installed, or your terminal can't find it. Restart your terminal after installing Python, or try using python3 instead of python. If you're still stuck, check that Python is actually installed by going to python.org and reinstalling it.

Can I run ChatGPT DAN while using my computer for other things?

Yes. Once it's running, it will use some of your computer's memory and processing power, but you can still use other programs. If your computer is slow, close other applications or check how much RAM the script is using in your system monitor.

Is it safe to read code from GitHub?

GitHub is a legitimate platform where millions of developers share code. However, you should always read what a project does before installing it, check when it was last updated, and look at user comments in the Issues section. If something seems suspicious or the project is abandoned, don't use it.