Cursor Directory (Official)
★ 4.0k
vs
Open Interpreter
★ 68.7k
Cursor Directory (Official) vs Open Interpreter
Cursor Directory (Official): This guide details the process for contributing new rules and prompts to the Cursor and Windsurf Directories. It outlines steps for forking the repository, creating new rule files, defining prompt content, and submitting pull requests.; 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.
01
TL;DR
Cursor Directory (Official)Code Assistant · ★ 4.0k
Contributing new AI rules to the Cursor/Windsurf directories.
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.
02
Side-by-Side Comparison
Field
Cursor Directory (Official)Open InterpreterCategory
Code Assistant
Code Assistant
Stars
★ 4.0k
★ 68.7k
License
—
Apache-2.0
Install Command
npm install
curl -fsSL https://www.openinterpreter.com/install | sh
Updated
1w ago
2w ago
Open Source
Yes
Yes
Tags
AI Prompts, Rule Engine, Developer Tools
LLM, Code Execution, AI Agent
03
Features
Cursor Directory (Official)01Detailed guide for adding new AI rules.
02Instructions for expanding existing rule prompts.
03Parameters for structured rule definitions (tags, title, slug, content, author).
04Workflow for community contributions via Pull Requests.
05Guidance on testing prompt effectiveness and clarity.
Open Interpreter01Switch 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
04
Use Cases
Cursor Directory (Official)↳Contributing new AI rules to the Cursor/Windsurf directories.
↳Adding or improving prompts for existing AI rules.
↳Participating in the open-source development of AI-driven tools.
Open 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
05
Best For
Cursor Directory (Official)EssentialTrending
Open InterpreterMost PopularEssentialTrending
FAQ
FAQ
What is the difference between Cursor Directory (Official) and Open Interpreter?
Both Cursor Directory (Official) and Open Interpreter are in the Code Assistant category. Cursor Directory (Official) has 4.0k stars, while Open Interpreter has 68.7k stars.
Which is better, Cursor Directory (Official) or Open Interpreter?
The best choice depends on your use case. Choose Cursor Directory (Official) if Contributing new AI rules to the Cursor/Windsurf directories., and Open Interpreter if Getting strong coding-agent results from inexpensive or open models such as Kimi, GLM, Qwen or DeepSeek.
Is Cursor Directory (Official) free or open source?
Yes, Cursor Directory (Official) is open source on GitHub.
Is Open Interpreter free or open source?
Yes, Open Interpreter is open source on GitHub (Apache-2.0).
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