Open Interpreter
Open-source agent that lets LLMs run code locally on your own machine.
About
Open Interpreter is an open-source project by Killian Lucas that gives language models the ability to execute code (Python, JavaScript, Shell, and more) directly on your computer through a ChatGPT-like terminal interface. Launched in 2023, it was one of the first and most-starred "let an AI run code on your machine" projects (around 60k GitHub stars), providing a local alternative to ChatGPT's sandboxed Code Interpreter with no file-size or time restrictions. Run interpreter after pip install open-interpreter and the agent can create and edit files, control a Chrome browser, analyze datasets, and automate system tasks, asking for approval before running code.
It works with cloud models (GPT, Claude) or local models via Ollama and LM Studio, and later added an OS mode with computer-use capabilities. The team subsequently shifted focus to the 01 open-source voice device and a 1.0 rewrite, so commit cadence on the original package slowed through 2025-2026. Limitations: code runs unsandboxed on your real machine, so every command is a real operation and approval gates must be respected; maintenance has slowed, and it lacks multi-repository context and built-in version-control integration.
What it can do
- Natural-language code execution in Python, JS, and Shell
- File creation, editing, and multimedia manipulation
- Browser control for research and web tasks
- Works with cloud models or fully local models
- Approval-gated execution for safety
Setup
pip install open-interpreter, set an LLM API key (or point at a local model), then run interpreter in the terminal.
Prerequisites
Python 3.10+; an API key for a supported model provider or a local model via Ollama.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 68; Trending score 76/100 from researcher assessment.
★ 60,000 GitHub stars
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.