AgentGPT: An Open Source Project to Create and Run Automated AI Intelligences

General Introduction

AgentGPT is an open source project developed by the Reworkd team and hosted on GitHub, designed to allow users to autonomously create, configure and deploy AI intelligences through a browser. Users simply set a goal, and AgentGPT automatically generates a task plan and executes it, helping to accomplish diverse tasks ranging from research reports to travel planning. The platform integrates OpenAI's language model and Langchain tools, and supports local deployment and cloud operation, making it suitable for developers and AI enthusiasts. Currently in Beta, the platform is continuously iterating and the community is highly active, attracting tens of thousands of users from all over the world to contribute.

Function List

• Autonomous creation of AI intelligences: Users can customize the names and goals of the intelligences to quickly generate personalized AI assistants.
• Task automation: Automatically disassembles tasks according to goals and completes them step by step, supporting dynamic adjustment of execution strategies.
• Multi-language support: Supports multiple language outputs and adapts to the needs of global users.
• Integration with external APIs: APIs such as OpenAI and Serper can be accessed to enhance the information acquisition capability of the intelligences.
• Local Deployment Support: One-click installation via Docker for development and test environments.
• Open Source Community Collaboration: Users can submit code, give feedback, and participate in feature development via GitHub.
• Real-time task tracking: Provide a display of task execution progress, so that the user can understand the status of the smart body at any time.

Using Help

The use of AgentGPT is divided into two ways: online experience and local deployment. The following is a detailed description of how to install and operate to help users get started quickly.

Local Deployment Installation Process

AgentGPT recommends using Docker for local deployment to ensure a consistent environment and ease of installation. Here are the steps:

pre-conditions

Make sure you have the following software installed on your computer:

• code editor: Visual Studio Code (VS Code) is recommended for viewing and modifying code.
• Node.js: The front-end operating environment can be downloaded and installed from the official website.
• Git: For cloning GitHub repositories, Windows/Mac/Linux can be installed via the official website.
• Docker: For the core deployment tool, you need to download Docker Desktop and register an account to log in.
• API key: An OpenAI API key is required (mandatory), and optionally the Serper API and Replicate API keys.

Installation steps

1. Open a terminal
   • In VS Code, press Ctrl + ~(Windows) or Control + ~(Mac); or use the system's own terminal (such as Windows' CMD or Mac's Terminal).
2. clone warehouse
   • Enter the following command in the terminal to download the AgentGPT project locally:

     git clone https://github.com/reworkd/AgentGPT.git
     

   • Go to the project catalog:

     cd AgentGPT
     

3. Run the installation script
   • For Mac/Linux users, run:

     . /setup.sh
     

   • For Windows users, run:

     . /setup.bat
     

   • The script will automatically detect the environment and prompt you to enter the necessary configuration information.
4. Configuring API Keys
   • When the script runs, it will ask for the OpenAI API key. You need to register and generate the key on the OpenAI website in advance, enter it and press enter to continue.
   • If you have an API key for Serper or Replicate, you can also enter it at the prompt (optional).
5. Starting services
   • After the script completes, Docker will automatically pull the image and start the service. Wait a few minutes and when the terminal shows that the service is running successfully, open a browser and visit the http://localhost:3000The
6. Verify Installation
   • If the page loads correctly, AgentGPT has been successfully deployed. Otherwise check the terminal logs, common problems may be that Docker is not running or the API key is wrong.

Online Experience

No installation required, direct access https://agentgpt.reworkd.aiThe online version of the program is available in the official version.

Main Functions Operation Guide

Creating Intelligentsia

1. Go to homepage
   • show (a ticket) http://localhost:3000(locally deployed) or the online version URL to the AgentGPT main screen.
2. Setting up the Intelligent Body
   • Click the "Create an Agent" button.
   • Enter the name of the smartbody in the "Name" field (e.g. "ResearchGPT").
   • Enter a specific goal in the Goal field (e.g., "Prepare a report on Nike, Inc.").
3. Deployment of intelligences
   • Click the "Deploy" button, the smart body will start working immediately, the interface will display the task disassembly and execution progress.

Task automation

• View Task Progress: Once deployed, the intelligence will automatically break down the goal into multiple subtasks (e.g., searching for information, organizing data) and execute them step by step. You can view the status of each step in real time in the interface.
• Alignment targets: If the direction of the mission deviates, the intelligences can be paused and redeployed after modifying the objectives.
• Export results: When the task is completed, click the "Export" button on the interface to save the result as a text file.

Integration with external APIs

• Configuring the API: When deployed locally, the API key is already entered in the installation step. If you need to change it, edit the .env file, fill in the new key and restart the service.
• utilization effect: With the Serper API enabled, intelligences can perform web searches; with the Replicate API enabled, more types of content (e.g., images) can be generated.

Open Source Community Engagement

• Submission of questions: If you encounter a bug, visit https://github.com/reworkd/AgentGPT/issuesClick "New Issue" to describe the issue.
• Contribute code: Fork the repository, modify the code and submit Pull Requests, and participate in feature optimization.

caveat

• network requirement: Local deployments require an open network for Docker to download images and intelligences to call APIs.
• performance needs: It is recommended that computers have at least 8GB of RAM and 10GB of hard disk space to ensure smooth operation.
• new version: Regular operation git pull Get the latest code and restart the service to apply the update.

With these steps, you can easily deploy and use AgentGPT, whether you are automating tasks or developing new features.