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CLI ToolsMay 11, 2026·2 min de lectura

Open Interpreter — Local Code Interpreter CLI

Open Interpreter runs a local code interpreter in your terminal. Install from GitHub, run `interpreter`, then write files and run commands with approvals.

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Staging seguro para este activo

Este activo primero queda en staging. El prompt copiado pide inspeccionar los archivos staged antes de activar scripts, config MCP o config global.

Stage only · 17/100Política: staging
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Cualquier agent MCP/CLI
Tipo
CLI Tool
Instalación
Stage only
Confianza
Confianza: Established
Entrada
Asset
Comando de staging seguro
npx -y tokrepo@latest install 405e1e05-5c75-4703-9659-e65e181d3a2e --target codex

Primero deja archivos en staging; la activación requiere revisar el README y el plan staged.

Introducción

Open Interpreter runs a local code interpreter in your terminal. Install from GitHub, run interpreter, then write files and run commands with approvals.

  • Best for: developers who want a local, unrestricted code-interpreter workflow (files + internet + packages) instead of a hosted sandbox
  • Works with: Python, terminal workflow, OpenAI or other providers (repo notes), local model servers via OpenAI-compatible API base
  • Setup time: 10 minutes

Quantitative Notes

  • CLI entrypoint: interpreter (repo)
  • Setup time ~10 minutes
  • GitHub stars (verified): see Source & Thanks

Practical Notes

Use Open Interpreter for hands-on local tasks: data cleanup, one-off scripts, codebase refactors, and automation that needs filesystem access. Keep a tight loop: ask for a plan, review commands before execution, and prefer small, reversible steps. If you share the machine, run it in a dedicated workspace directory and avoid granting wide permissions.

Safety note: Local execution is risky; require approvals for shell commands and keep a narrow working directory.

FAQ

Q: Is it the same as ChatGPT Code Interpreter? A: It aims for a similar workflow but runs locally, with access to your machine and fewer platform restrictions (per repo discussion).

Q: Can it run local models? A: Yes. The README mentions using an OpenAI-compatible server by passing an api_base URL.

Q: How do I keep it safe? A: Use confirmation gates, run in a sandboxed user account, and restrict directories it can access.

🙏

Fuente y agradecimientos

GitHub: https://github.com/openinterpreter/open-interpreter Owner avatar: https://avatars.githubusercontent.com/u/163192481?v=4 License (SPDX): AGPL-3.0 GitHub stars (verified via api.github.com/repos/OpenInterpreter/open-interpreter): 63,470

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