How to Install and Use AutoGPT – Step-by-Step Auto-GPT Setup Tutorial

AutoGPT is an experimental open-source application that uses GPT-4 and GPT-3.5 autonomously to understand the given objective, come up with a plan, and try to execute it autonomously without human input.

One of the particular features of AutoGPT is its ability to chain together multiple instances of GPT-4 or GPT-3.5, allowing it to “outsource” tasks whenever it feels like its context window is overwhelmed.

In this article, I’ll show you step-by-step how you can set up and run your own version of AutoGPT.

Let’s get started!

How to Set Up AutoGPT


The requirements to run AutoGPT are the following:

  • A device to run the AI agent. Since it utilizes OpenAI API, any device will do. Even an old/lowcost PC.
  • Python 3.8 or later and Git installed.
  • An OpenAI account with a valid payment method or active trial credits. If you signed up within the last three months, you probably still have them.
  • You should know how run terminal commands.
  • Optional: ElevenLabs account and API key, if you want your AI agent to be able to speak.
  • Optional: Pinecone API key.

1. Set a Limit on OpenAI API Usage

Autonomous AI agents like AutoGPT are powered by the GPT-4 model that is served through OpenAI API. It is charging on a usage basis.

Given that AutoGPT tends to get stuck in the tasks loops and go down the rabbit holes, I recommend setting a limit on API usage not to find yourself in a weird situation where a bot will cost you $50 per day to run.

api usage limits

You can change your limits in the OpenAI account settings.

2. Install Python 3.8 or later

Python is widely used in various AI projects, and AutoGPT is no exception. You’re going to need to install it on your computer.

Don’t worry if it’s something you’ve never done. Here’s a detailed tutorial for you:

3. Install Git

The Git installation process is different for every operating system, so we won’t cover this in detail. You can follow the official guide and install Git on your computer.

We will need Git to download or “pull” AutoGPT from Github. For now, just install it, and we’ll show you how to use it later.

4. Install virtualenvwrapper

Virtualenv and virtualenvwrapper are Python tools that help you keep each project separate. Some projects may have packages that conflict with other packages in other projects. To avoid conflicts, virtualenv is used. It’s like a sandbox for Python.

It’s also more convenient to keep each project in a separate environment.

It is recommended you use it for AutoGPT, but it’s not necessary.

If you work on Linux/OS X, open a terminal and run the following command:

pip install virtualenvwrapper

If you’re a Windows guy, open cmd or PowerShell and run this command:

pip install virtualenvwrapper-win

Create and Activate a Virtual Environment

Great! Now that you installed virtualenvwrapper, it’ll be super easy to create and maintain virtual environments. Let’s create the actual virtual environment for our AutoGPT app. To do this, simply run the following command:

mkvirtualenv autogpt

Where “autogpt” is the name of the virtual environment.

5. Clone AutoGPT Github Repo

At this point, you should have met the requirements:

  • Python installed
  • Git installed
  • Virtual environment set up

Now we’re finally going to install AutoGPT. To do this, navigate to the desired directory where you want it installed and run the following command:

git clone

This will download the Auto-GPT repo from Github. After it’s downloaded, go to the Auto-GPT directory. Use the cd Auto-GPT command for this. Once you’re in, you need to install some of the Auto-GPT’s dependencies. Run this command:

pip install -r requirements.txt
autogpt 1

Next thing, we need to get our OpenAI API Key.

How to get OpenAI API Key

You can create and delete your OpenAI API keys in your OpenAI account settings. Visit the API keys page at and click Create new secret key. Give it a name you would remember and write it down somewhere because you’ll never be able to see it in full again.

Here’s a very quick walkthrough:

Edit The .env.template File

Before running the AutoGPT, you should edit the .env.template file in the repository folder:

env file

First of all, change its name to .env (including the dot).

Next, open it with the preferred text editor and paste your OpenAI API key. Save the file when you’re done.


6. Run AutoGPT

After all the preparations, we can finally run the Auto-GPT.

To do this, simply navigate to the Auto-GPT directory in your terminal or PowerShell, and run this command:

python -m autogpt

If nothing happens, make sure your environment is active by running this command:

workon autogpt

If the python command doesn’t work for you, try this:

py -m autogpt

If everything is set up right, you will be welcomed by the app and prompted to give your AI agent the name and the goals:

autogpt example

Congratulations! You’ve just installed and ran your own instance of AutoGPT!

Let me know in the comments if you have any troubles. We’ll try to figure out something together.


  • Dee Miller

    Dee Miller is the founder and the writer at Go Find AI. Dee has been into AI since about 2018 when he first realized how revolutionary the AI tech is. Today when AI is all the hype, Dee is looking to make navigating the AI space easier for the newcomers.

    View all posts

  1. The auto_gpt is so tiring, I have to repeatedly enter “y -N” to let it continue to its next command.

  2. Hi I get the below error when trying to run:

    ModuleNotFoundError: No module named ‘numpy’

    However numpy is installed, when i type ‘pip show numpy’
    I get the below response:

    Name: numpy
    Version: 1.24.1
    Summary: Fundamental package for array computing in Python
    Author: Travis E. Oliphant et al.
    License: BSD-3-Clause
    Location: c:\users\xxxxxxxxxxx\appdata\local\programs\python\python310\lib\site-packages
    Required-by: opencv-python, pandas, pinecone-client

    • Hard to say, but:
      1. Make sure you pip install and run scripts in the right python environment.
      2. Have you installed all the requirements from requirements.txt?
      3. Try reinstalling/updating numpy with this command python3 -m pip install numpy and run the autgpt with the python3 command. You may have used the wrong version.

  3. I get “Warning: The file ‘auto-gpt.json’ does not exist. Local memory would not be saved to a file.”

  4. I’m getting

    File “/autogpt/Auto-GPT/autogpt/speech/”, line 34, in
    def _get_voice_engine(config: Config) -> tuple[VoiceBase, VoiceBase]:
    TypeError: ‘type’ object is not subscriptable

    is this a common error ?

  5. I cannot get past the PIP install portion. I tried it on CMD, python, and GIT but they all say the same thing “‘pip’ is not recognized as an internal or external command”

  6. I am getting this message when trying to run. python -m autogpt
    [32mNEWS: [0m Welcome to Auto-GPT! We’ll keep you informed of the latest news and features by printing messages here. If you don’t wish to see this message, you can run
    Auto-GPT with the –skip-news flag # INCLUDED COMMAND ‘send_tweet’ IS DEPRICATED, AND WILL BE REMOVED IN THE NEXT STABLE RELEASE Base Twitter functionality (and more) is
    now covered by plugins: ## Changes to Docker configuration The workdir has been changed from /home/appuser to /a
    pp. Be sure to update any volume mounts accordingly.
    [31mWARNING: [0m You are running on `master` branch – this is not a supported branch.
    [32mWelcome to Auto-GPT! [0m run with ‘–help’ for more information.
    [32mCreate an AI-Assistant: [0m input ‘–manual’ to enter manual mode.

  7. Please disregard previous question. It was not working in Powershell ISE, but does work in the command window.

  8. Do you have any issues getting auto-gpt to work outside its directory. I have that issue and i also cn’t get it to use my pinecone memory

  9. Hey.

    can you provide some more context on how to find the .env.template document

  10. I keep getting an error message saying that my API key is incorrect even though it clearly is the correct one. Literally at the last step here

    Leave a reply

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