codex
Codex is a lightweight terminal coding agent that can inspect a repository, edit files, and run commands.
HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the openai organization.
Codex is a lightweight terminal coding agent that can inspect a repository, edit files, and run commands.
reliable Speech Recognition via Large-Scale Weak Supervision. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets.
GitHub describes it as Examples and guides for using the OpenAI API. The repository metadata lists Jupyter Notebook as its primary language. The metadata lists the MIT license. This article stays within the project description and details documented in the GitHub repository README.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This plugin lets Claude Code send repository tasks to Codex for implementation or a second code review.
The official Python library for the OpenAI API
Project brief: A lightweight, powerful framework for multi-agent workflows. On Windows, use DockerSandboxClient with the openai-agents[docker] extra or a hosted sandbox client instead; see Sandbox clients for setup details.
Skills Catalog for Codex
This service turns issue-tracker work into isolated implementation runs and lets teams define project-specific automation through a workflow file.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Official JavaScript / TypeScript library for the OpenAI API
OpenAI's Codex Security CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities. npm: https://www.npmjs.com/package/@openai/codex-security
macOS and Linux VMs on Apple Silicon to use in CI and other automations
Train the smallest LM you can that fits in 16MB. Best model wins!
Renderer for the harmony response format to be used with gpt-oss
A lightweight, powerful framework for multi-agent workflows and voice agents
The official Go library for the OpenAI API