
OpenAI
49 Apps · 2 Intel
OpenAI is an AI research and deployment company founded in December 2015 by Sam Altman, Ilya Sutskever, Greg Brockman, Elon Musk, and others with the mission of ensuring that artificial general intelligence benefits all of humanity. Originally a nonprofit, it restructured as a public benefit corporation in 2025 and is best known as the creator of ChatGPT, the product that triggered the global wave of consumer AI adoption.
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Apps
A coding agent from OpenAI that runs locally in your terminal, providing AI-powered assistance for development tasks. Works with ChatGPT plans or API keys and offers multiple deployment options including IDE integration and desktop app.
A lightweight framework for building multi-agent workflows in Python. Supports agent handoffs, tools, guardrails, human-in-the-loop interactions, and works with 100+ LLMs beyond just OpenAI.
Symphony transforms project management by creating isolated, autonomous implementation runs where AI coding agents handle complete tasks from Linear boards while providing proof of work including CI status, PR reviews, and complexity analysis. Teams can manage work at a high level instead of supervising individual coding agents.
Official Python library for the OpenAI API — chat, completions, embeddings, audio, batch, files, fine-tuning, and the Responses API.
OpenAI's framework for evaluating LLMs and LLM systems, with an open-source registry of benchmarks the community can extend.
Reference patterns for building voice agents on the OpenAI Realtime API — handoffs, tool use, and low-latency speech-to-speech.
Lightweight, powerful framework for multi-agent workflows and voice agents in JavaScript/TypeScript — built by OpenAI for production.
Official Go library for the OpenAI API — chat, completions, embeddings, audio, batch, files, and the Responses API.
OpenAI's challenge: train the smallest language model that fits in 16MB. Best model wins — a benchmark for tiny-LM engineering.
Reference demo of a customer-service workflow built with the OpenAI Agents SDK — multi-agent handoffs, tools, and a sample frontend.
Official GitHub Action that runs OpenAI Codex in your CI to review, fix, or implement code automatically.
React app for inspecting, building, and debugging with the OpenAI Realtime API — see WebSocket events, run voice agents, iterate fast.
Base Docker image used by OpenAI Codex environments — preinstalled toolchains for many languages.
React component for the OpenAI Realtime API. Drop in voice-to-voice chat with the right audio handling, interruption, and event wiring.
Node.js example app from OpenAI's quickstart tutorial — minimal, runnable reference for building your first OpenAI-powered app.
GPT-powered triage tool for processing BugCrowd bug bounty submissions.
Reference Node.js/JavaScript client for the OpenAI Realtime API — voice agents and live conversations.
Official command-line interface for the OpenAI API, written in Go.
React components and primitives for building UIs inside OpenAI's Apps SDK — the platform for shipping interactive apps inside ChatGPT.
Official Ruby SDK for the OpenAI API. Chat, embeddings, audio, and assistants from idiomatic Ruby.
OpenAI's repository of official plugins.
Developer toolkit to migrate applications from the legacy OpenAI Completions/Chat Completions APIs to the unified Responses API, guided by Codex CLI.
Official Python SDK for OpenAI's ChatKit, a toolkit for building chat-style AI apps.
Reference app for the OpenAI Responses API. Shows streaming, tool calls, and conversation state in a small TypeScript codebase.
Official OpenAI Python library for adding input/output guardrails to LLM apps — block jailbreaks, PII leaks, and off-topic requests.
OpenAI's collection of security automation bots: triage, analysis, and response workflows powered by LLMs.
Demo that uses the OpenAI Realtime API and tool calling to navigate a 3D solar system by voice.
Reference apps for OpenAI's Structured Outputs feature. Patterns for getting reliable JSON out of GPT models via schemas.
Example AI meeting assistant using the OpenAI Realtime API — listens to a call and updates a Kanban board live.
Demo of a UI testing agent built on OpenAI's Computer Use model and the Responses API. Drives a browser to test apps end-to-end.
Reference hardware project for a physical AI assistant — illuminates a mirror with ambient info and runs voice interactions.
Customer-support agent reference built with Next.js and the OpenAI Responses API plus File Search — clone-and-go template.
OpenAI's toolkit for building Model Context Protocol integrations.
Next.js photobooth app built on the OpenAI Image API — a reference for image-generation product flows.
OpenAI's reference implementation of sparse autoencoders for interpretability research on large language models.
Example MCP server compatible with OpenAI Deep Research. Reference implementation for connecting custom data sources to Deep Research.
Open-source starter kit from OpenAI for building knowledge retrieval (RAG) systems on top of the OpenAI API.
TypeScript and JavaScript SDK for OpenAI Guardrails — runtime safety controls for LLM applications.
Intel
The OpenAI Model Spec — a public document defining how OpenAI's models should behave, the principles that govern them, and the rules they follow.
We’re sharing new research with @apolloaievals on reward-seeking—when models follow what they believe a grader rewards rather than what users or developers want—and a new method, Contrastive SDF, for measuring how strongly such beliefs shape behavior. https://t.co/z1oZXP7ntj