OpenAI는 GitHub에서 다양한 공개 저장소를 운영하고 있습니다. 주요 프로그래밍 언어로는 Python, TypeScript, Go가 있으며, codex, whisper와 같은 주목할 만한 저장소가 포함되어 있습니다. 이들은 특히 인공지능 및 기계 학습과 관련된 프로젝트를 다루고 있습니다.
Lightweight coding agent that runs in your terminal
Robust Speech Recognition via Large-Scale Weak Supervision
Examples and guides for using the OpenAI API
A toolkit for developing and comparing reinforcement learning algorithms.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Use Codex from Claude Code to review code or delegate tasks.
The official Python library for the OpenAI API
A lightweight, powerful framework for multi-agent workflows
Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.
Skills Catalog for Codex
Code for the paper "Language Models are Unsupervised Multitask Learners"
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
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.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
GPT-3: Language Models are Few-Shot Learners
Generate 3D objects conditioned on text or images
An educational resource to help anyone learn deep reinforcement learning.
Official JavaScript / TypeScript library for the OpenAI API
PyTorch package for the discrete VAE used for DALL·E.
OpenAI's Codex Security CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities. npm: https://www.npmjs.com/package/@openai/codex-security
Code for the paper "Jukebox: A Generative Model for Music"
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
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This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
Point cloud diffusion for 3D model synthesis
macOS and Linux VMs on Apple Silicon to use in CI and other automations
Demo of a customer service use case implemented with the OpenAI Agents SDK
OpenAI Plugins
Train the smallest LM you can that fits in 16MB. Best model wins!
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Renderer for the harmony response format to be used with gpt-oss
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Get a ChatGPT plugin up and running in under 5 minutes!
Release for Improved Denoising Diffusion Probabilistic Models
A lightweight, powerful framework for multi-agent workflows and voice agents
GLIDE: a diffusion-based text-conditional image synthesis model
Retro Games in Gym
The official Go library for the OpenAI API
Code for the paper "Evaluating Large Language Models Trained on Code"
Code for openai.fm, a demo for the OpenAI Speech API
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
OpenAI Privacy Filter
The official .NET library for the OpenAI API
OpenAPI specification for the OpenAI API
Example apps for the Apps SDK
Consistency Distilled Diff VAE
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GPT-5 coding examples
Learn how to use CUA (our Computer Using Agent) via the API on multiple computer environments.
Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages.
Lean certificates accompanying Navier-Stokes and Euler results
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"
The official Java library for the OpenAI API
Code for "Learning to Generate Reviews and Discovering Sentiment"
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OpenAI Frontier Evals
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Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments
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Base docker image used in Codex environments
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Starter app to build with OpenAI ChatKit + Agent Builder
Starter app to build with the OpenAI Responses API
Build hours code to share.
The OpenAI Model Spec
Demo of a UI testing agent using the OpenAI CUA model and the Responses API.
Official CLI for the OpenAI API
Role-specific Codex plugin templates
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Orchestrator for running Tart Virtual Machines on a cluster of Apple Silicon devices
Demo showing how to use the OpenAI Realtime API to navigate a 3D scene via tool calling
Official Ruby SDK for the OpenAI API
A digital camera you can build yourself with Codex.
Visualize harmony chat data and codex sessions in your browser
Customer-run client for Secure MCP Tunnel: connect private or localhost MCP servers to ChatGPT, Codex, the Responses API, and AgentKit without exposing them to the public internet.
Create, publish and virtualize ephemeral Linux VMs with ease
OpenAI Guardrails - Python
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Demo of a customer support agent interface using NextJS and the OpenAI Responses API with File Search
"the information manager from hell" - linus torvalds [e83c516, 7 Apr 2005]
Lean certificates accompanying ten proofs in mathematics and theoretical computer science
Conditional Lean formalization and numerical certificate for prime gaps at most 186.
Lightweight Android capture developer tools for macOS
OpenAI Guardrails - TypeScript / JavaScript
Sample app to get started using the Video API with Sora
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Next.js Photobooth app built with the OpenAI Image API
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A Lean formalization of a bound concerning long gaps between primes
The official Terraform provider for OpenAI.
Home to TypeScript packages for ChatGPT Sites
Homebrew for the OpenAI CLI.
OpenAI는 GitHub에서 인공지능 및 머신러닝 관련 도구와 라이브러리를 개발합니다. 주요 프로젝트로는 codex, whisper, openai-cookbook 등이 있으며, 이는 다양한 개발자에게 유용한 리소스를 제공합니다.
OpenAI는 주로 Python, TypeScript, Go, Lean, JavaScript, Rust와 같은 다양한 프로그래밍 언어를 사용합니다. 이러한 언어들은 각기 다른 프로젝트의 요구 사항에 맞춰 선택됩니다.
네, OpenAI의 저장소는 모두 공개입니다. 이는 개발자와 연구자들이 OpenAI의 작업을 활용하고, 기여할 수 있도록 합니다. 다양한 프로젝트는 GitHub에서 쉽게 접근할 수 있습니다.