Self-operating computer

Self-Operating Computer Framework
A framework to enable multimodal models to operate a computer.
Using the same inputs and outputs as a human operator, the model views the screen and decides on a series of mouse and keyboard actions to reach an objective. Released Nov 2023, the Self-Operating Computer Framework was one of the first examples of full computer-use.
Key Features
- **Compatibility**: Designed for various multimodal models.
- **Integration**: Currently integrated with **GPT-4o, GPT-4.1, o1, Gemini Pro Vision, Claude 3, Qwen-VL and LLaVa.**
- **Future Plans**: Support for additional models.
Demo
https://github.com/OthersideAI/self-operating-computer/assets/42594239/9e8abc96-c76a-46fb-9b13-03678b3c67e0
Run Self-Operating Computer
1. **Install the project**
2. **Run the project**
3. **Enter your OpenAI Key**: If you don't have one, you can obtain an OpenAI key here. If you need you change your key at a later point, run vim .env to open the .env and replace the old key.
4. **Give Terminal app the required permissions**: As a last step, the Terminal app will ask for permission for "Screen Recording" and "Accessibility" in the "Security & Privacy" page of Mac's "System Preferences".
Using operate Modes
OpenAI models
The default model for the project is gpt-4o which you can use by simply typing operate. To try running OpenAI's new o1 model, use the command below.
To experiment with OpenAI's latest gpt-4.1 model, run:
Multimodal Models -m
Try Google's gemini-pro-vision by following the instructions below. Start operate with the Gemini model
**Enter your Google AI Studio API key when terminal prompts you for it** If you don't have one, you can obtain a key here after setting up your Google AI Studio account. You may also need authorize credentials for a desktop application. It took me a bit of time to get it working, if anyone knows a simpler way, please make a PR.
Try Claude -m claude-3
Use Claude 3 with Vision to see how it stacks up to GPT-4-Vision at operating a computer. Navigate to the Claude dashboard to get an API key and run the command below to try it.
Try qwen -m qwen-vl
Use Qwen-vl with Vision to see how it stacks up to GPT-4-Vision at operating a computer. Navigate to the Qwen dashboard to get an API key and run the command below to try it.
Try LLaVa Hosted Through Ollama -m llava
If you wish to experiment with the Self-Operating Computer Framework using LLaVA on your own machine, you can with Ollama!
*Note: Ollama currently only supports MacOS and Linux. Windows now in Preview*
First, install Ollama on your machine from https://ollama.ai/download.
Once Ollama is installed, pull the LLaVA model:
This will download the model on your machine which takes approximately 5 GB of storage.
When Ollama has finished pulling LLaVA, start the server:
That's it! Now start operate and select the LLaVA model:
**Important:** Error rates when using LLaVA are very high. This is simply intended to be a base to build off of as local multimodal models improve over time.
Learn more about Ollama at its GitHub Repository
Voice Mode --voice
The framework supports voice inputs for the objective. Try voice by following the instructions below.