Programación con AI y herramientas para desarrolladores

codex — Coding agent and developer workflows

openai/codex

Lightweight coding agent that runs in your terminal

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★ 106,5KEstrellas
⑂ 16,2KBifurcaciones
12856Problemas abiertos
RustIdioma
Apache-2.0Licencia
Q@project.QualityScorePuntuación editorial

Capturas de pantalla del proyecto

Captura de pantalla de codex — Coding agent and developer workflows Captura de pantalla de codex — Coding agent and developer workflows

Resumen

openai/codex is an open-source project in ToolAI's AI development tools category. Lightweight coding agent that runs in your terminal The page is intended to help technical readers decide whether the project is worth a closer review; it is not an endorsement. The Rust implementation and the repository owner openai are recorded from the catalog metadata.

Características principales

  • Official repository maintained by openai; the repository description identifies it as coding agent and developer workflows.
  • Primary language recorded for this editorial entry: Rust.
  • Repository statistics and links are shown as a dated metadata snapshot, so readers can re-check them before adoption.
  • The official README, releases and issue tracker remain the source of truth for installation and compatibility details.

Requisitos, instalación y guía rápida

Requirements depend on the current official documentation. Start with the repository's README and pin a reviewed release before production use.

git clone https://github.com/openai/codex
cd codex

Use the project's documented environment manager, model weights and optional accelerators. Do not copy commands from an unverified mirror; check the release notes and lock compatible dependencies first.

Uso

This page is an objective orientation for coding agent and developer workflows. Read the official quick-start example, run it in an isolated environment, and record the exact commit or release used. For an agent or model workflow, keep tool permissions narrow, validate external inputs, and measure latency and quality on a representative test set. The repository's README and examples should be consulted for API details that may change.

Compatibilidad de modelos y casos de uso

The repository metadata describes the project scope but does not guarantee compatibility with every model, provider, checkpoint or accelerator. Confirm supported model identifiers, tokenizer versions, hardware requirements and license terms in the official documentation before connecting it to an LLM, agent, MCP server or RAG pipeline.

Notas sobre la licencia y los riesgos

GitHub metadata reports the repository license as Apache-2.0. Review the repository LICENSE and any separate model, dataset, weight or third-party dependency terms before redistribution or commercial use. A missing or NOASSERTION license is not a grant of permission.

Editorial verification 2026-08-02: official repository URL, owner, description, license field and repository statistics were reviewed. License metadata: Apache-2.0. Re-check README, releases and dependency/model terms before production use.

Lanzamiento y mantenimiento

Snapshot: 101,460 stars, 15,211 forks and 10,908 open issues; repository creation is not stated and last pushed date is 2026-07-26 when supplied by the catalog. Check the official releases page for the current version rather than treating these numbers as a guarantee of maintenance or quality.