Open Interpreter logo
Open Interpreter
★ 68.7k
vs
chat-on-steroids logo
chat-on-steroids
★ 5.1k

Open Interpreter vs chat-on-steroids

Open Interpreter: Open Interpreter is a terminal coding agent optimized for low-cost and open models. It is a fork of OpenAI's Codex that can emulate other agent harnesses (such as Claude Code, Kimi Code or Qwen Code) to get the best results from each model, runs commands in native sandboxes on macOS, Linux and Windows, and works with ACP-compatible editors and the Codex SDK.; chat-on-steroids: Chat On Steroids is an independent desktop app that gives ChatGPT local MCP tools to read and edit files, run tests, keep terminals open and use your desktop, working through your ChatGPT conversation rather than Codex. A browser extension observes and automates the ChatGPT UI, and features such as workers, Goal, Loop and Compact & Resume support long tasks.

01

TL;DR

Open Interpreter logo
Open InterpreterCode Assistant · ★ 68.7k
When to choose:
  • You want a fast Rust-based terminal coding agent (Apache-2.0) that squeezes better results out of low-cost and open-weights models via harness emulation.
  • You want native OS sandboxing (Seatbelt on macOS, Landlock+bubblewrap on Linux, AppContainer on Windows) and support for AGENTS.md, skills, and MCP.
When to skip:
  • You are looking for the old Python `pip install open-interpreter` library from 2023–2024; the project has been completely rewritten as a Rust fork of Codex.
  • You just want a free-tier official Gemini agent without configuring endpoints and harnesses; Gemini CLI is simpler.
chat-on-steroids logo
chat-on-steroidsCode Assistant · ★ 5.1k

Use a ChatGPT plan for local coding on your own files

02

Side-by-Side Comparison

Field
Open Interpreter logoOpen Interpreter
chat-on-steroids logochat-on-steroids
Category
Code Assistant
Code Assistant
Stars
★ 68.7k
★ 5.1k
License
Apache-2.0
MIT
Install Command
curl -fsSL https://www.openinterpreter.com/install | sh
—
Updated
2w ago
1d ago
Open Source
Yes
Yes
Tags
LLM, Code Execution, AI Agent
chatgpt, mcp, local-coding
03

Features

Open Interpreter logoOpen Interpreter
01Switch between emulated agent harnesses (native, Claude Code, Kimi Code, Qwen Code, SWE-agent and more) with /harness
02Native command sandboxing on macOS, Linux and Windows
03Switch providers and models from the TUI, including any OpenAI-compatible endpoint
04Runs as an Agent Client Protocol (ACP) agent for editors and as a drop-in for the Codex SDK
05Supports MCP, skills, hooks, permissions and shared AGENTS.md instructions
chat-on-steroids logochat-on-steroids
01Local MCP tools for files, terminals, tests and desktop
02Workers that keep context for parallel jobs
03Goal, Loop and Compact & Resume for long-running work
04Per-folder access levels chosen during setup
04

Use Cases

Open Interpreter logoOpen Interpreter
↳Getting strong coding-agent results from inexpensive or open models such as Kimi, GLM, Qwen or DeepSeek
↳Using one terminal agent across several model providers without changing tools
↳Testing web and native apps with the built-in QA skill
chat-on-steroids logochat-on-steroids
↳Use a ChatGPT plan for local coding on your own files
↳Split independent coding jobs across workers
↳Carry a long session into a fresh chat
05

Best For

Open Interpreter logoOpen Interpreter
Most PopularEssentialTrending
chat-on-steroids logochat-on-steroids
—
FAQ

FAQ

What is the difference between Open Interpreter and chat-on-steroids?
Both Open Interpreter and chat-on-steroids are in the Code Assistant category. Open Interpreter has 68.7k stars, while chat-on-steroids has 5.1k stars.
Which is better, Open Interpreter or chat-on-steroids?
The best choice depends on your use case. Choose Open Interpreter if Getting strong coding-agent results from inexpensive or open models such as Kimi, GLM, Qwen or DeepSeek, and chat-on-steroids if Use a ChatGPT plan for local coding on your own files.
Is Open Interpreter free or open source?
Yes, Open Interpreter is open source on GitHub (Apache-2.0).
Is chat-on-steroids free or open source?
Yes, chat-on-steroids is open source on GitHub (MIT).
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