Open Interpreter, an open-source initiative, allows LLMs to run code on your computer for a variety of tasks. It not only matches but also goes beyond the capabilities that Windows 11 Copilot promises for the future.
! Observe the striking illustration yourself, see “Comparison of Normalised Stock Prices for AAPL (Apple) and META” below.
Interactions with Open Interpreter go via the terminal. A more intuitive desktop application is currently under development. Early access to this application is available for interested users through this link.
Take aways:
- Features:
- Provides a ChatGPT-like interface for natural language interaction (surely voice commands will follow).
- Allows control over a Chrome browser, data analysis, and more.
- Supports multiple languages like Python, JavaScript, Shell, etc.
- Safety Measures: The software asks for user approval before executing any code to ensure safety.
- Flexibility: Unlike OpenAI’s hosted service, Open Interpreter is not restricted by internet access, time, or file size limits. It can utilize any package or library.
- Commands and Usage: Various commands are available for interactive chats, programmatic chats, and more. It also supports Azure deployments and debug modes.
- Customization: Users can customize system messages and behaviors using a
.env
file. - Package and Library Support: Can utilize any package or library available in your local environment.
- Code Llama Support: You can run the interpreter in local mode to use Code Llama, offering additional flexibility.
- General-Purpose Capabilities:
- Create and edit photos, videos, PDFs, etc.
- Control computer settings like light/dark them, open a Chrome browser
- Plot, clean, and analyze large datasets.
- License: The project is licensed under the MIT License and is not affiliated with OpenAI.
- Community: The project has a strong community with guidelines for contributing.
Examples:
- Simple change to dark mode of computer:

- A more complicated task = “Plot AAPL (Apple) and META’s normalized stock prices”:

Several confirmation steps go in between the final result; however, watch here how it corrects its own mistakes:

Endresult:


What it did, recap:
