Auto-GPT/autogpt/core

Auto-GPT Core

This subpackage contains the ongoing work for the Auto-GPT Re-arch. It is a work in progress and is not yet feature complete. In particular, it does not yet have many of the Auto-GPT commands implemented and is pending ongoing work to re-incorporate vector-based memory and knowledge retrieval.

Overview

The Auto-GPT Re-arch is a re-implementation of the Auto-GPT agent that is designed to be more modular, more extensible, and more maintainable than the original Auto-GPT agent. It is also designed to be more accessible to new developers and to be easier to contribute to. The re-arch is a work in progress and is not yet feature complete. It is also not yet ready for production use.

Running the Re-arch Code

There are two client applications for Auto-GPT included.

Unlike the main version of Auto-GPT, the re-arch requires you to actually install Auto-GPT in your python environment to run this application. To do so, run

pip install -e REPOSITORY_ROOT

where REPOSITORY_ROOT is the root of the Auto-GPT repository on your machine. The REPOSITORY_ROOT is the directory that contains the setup.py file and is the main, top-level directory of the repository when you clone it.

CLI Application

🌟 This is the reference application I'm working with for now 🌟

The first app is a straight CLI application. I have not done anything yet to port all the friendly display stuff from the logger.typewriter_log logic.

• Entry Point
• Client Application

You'll then need a settings file. Run

 python REPOSITORY_ROOT/autogpt/core/runner/cli_app/cli.py make-settings

This will write a file called default_agent_settings.yaml with all the user-modifiable configuration keys to ~/auto-gpt/default_agent_settings.yml and make the auto-gpt directory in your user directory if it doesn't exist). Your user directory is located in different places depending on your operating system:

• On Linux, it's /home/USERNAME
• On Windows, it's C:\Users\USERNAME
• On Mac, it's /Users/USERNAME

At a bare minimum, you'll need to set openai.credentials.api_key to your OpenAI API Key to run the model.

You can then run Auto-GPT with

python REPOSITORY_ROOT/autogpt/core/runner/cli_app/cli.py run

to launch the interaction loop.

CLI Web App

⚠️ I am not actively developing this application. I am primarily working with the traditional CLI app described above. It is a very good place to get involved if you have web application design experience and are looking to get involved in the re-arch.

The second app is still a CLI, but it sets up a local webserver that the client application talks to rather than invoking calls to the Agent library code directly. This application is essentially a sketch at this point as the folks who were driving it have had less time (and likely not enough clarity) to proceed.

• Entry Point
• Client Application
• Server API

To run, you still need to generate a default configuration. You can do

python REPOSITORY_ROOT/autogpt/core/runner/cli_web_app/cli.py make-settings

It invokes the same command as the bare CLI app, so follow the instructions above about setting your API key.

To run, do

python REPOSITORY_ROOT/autogpt/core/runner/cli_web_app/cli.py client

This will launch a webserver and then start the client cli application to communicate with it.