explaingit

openinterpreter/open-interpreter

🔥 Hot★ 63,567PythonAudience · developerComplexity · 3/5ActiveLicenseSetup · moderate

TLDR

An AI assistant that writes and runs code on your computer in response to plain English requests, with your approval before execution.

Mindmap

mindmap
  root((repo))
    What it does
      AI writes code
      You approve first
      Then it runs
      Supports many languages
    How to use
      Install via pip
      Chat in terminal
      Type plain English
      See code before run
    Capabilities
      Python scripts
      Shell commands
      Browser control
      File editing
      Data analysis
    Tech stack
      Python
      LiteLLM
      OpenAI models
      Local models
    Use cases
      Automate tasks
      Analyze data
      Clean files
      Generate plots
    Safety
      Human approval
      Code visibility
      Offline capable

Things people build with this

USE CASE 1

Automate repetitive computer tasks like organizing files or cleaning data without writing code yourself.

USE CASE 2

Analyze datasets and generate visualizations by describing what you want in plain English.

USE CASE 3

Run code experiments and scripts on your local machine with an AI assistant handling the implementation.

USE CASE 4

Use offline with locally-hosted language models for privacy-sensitive work without cloud dependencies.

Tech stack

PythonLiteLLMOpenAIOllamaLM StudioLlamaFile

Getting it running

Difficulty · moderate Time to first run · 30min

Requires an LLM backend (OpenAI API key, or local Ollama/LM Studio/LlamaFile setup) to function.

Use it freely, but if you run it as a network service, you must release your changes to users. Strongest copyleft for SaaS.

In plain English

Open Interpreter is a tool that lets AI language models write and execute code directly on your computer in response to natural language instructions. Think of it as having a conversation with an AI assistant that can not only tell you how to do something, but actually do it, running Python scripts, executing shell commands, controlling a browser, editing files, analyzing data, and more. The problem it addresses is that AI chatbots are normally isolated from your computer, but many tasks would be far faster if the AI could just act rather than just describe what to do. You install it via pip and run it from your terminal, where it opens a chat-like interface. You type a request in plain English, for example, "clean up the CSV files in my Downloads folder" or "plot this dataset", and the AI generates the necessary code, shows it to you, and asks for your approval before running it. This approval step is important for safety: you always see and confirm what will be executed before it happens. Open Interpreter supports Python, JavaScript, Shell, and other languages. You can connect it to OpenAI models like GPT-4o, or point it at locally running models via tools like LM Studio, Ollama, or LlamaFile, making it possible to use entirely offline. Compared to OpenAI's hosted Code Interpreter, Open Interpreter has no file size limits, no time limits, can access the internet, and can use any library installed on your machine. You would use this when you want an AI to help you with computer tasks that involve running code. The tech stack is Python, with LiteLLM used under the hood to support many different language model providers.

Copy-paste prompts

Prompt 1
Set up Open Interpreter with a local model using Ollama, then ask it to organize all files in my Downloads folder by file type.
Prompt 2
Use Open Interpreter to load a CSV file and create a bar chart showing sales by region, then save it as an image.
Prompt 3
Configure Open Interpreter to use GPT-4o, then ask it to find and fix syntax errors in a Python script I paste to it.
Prompt 4
Show me how to connect Open Interpreter to LM Studio so I can run code tasks completely offline without using OpenAI.
Prompt 5
Ask Open Interpreter to write a script that monitors a folder and automatically processes new files that appear in it.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.