AI Tools

The Cursor for Designers • An Open-Source AI-First Design tool • Visually build, style, and edit your React App with AI

The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents

Code for the paper "Language Models are Unsupervised Multitask Learners"

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

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.

Browser Harness | Self-healing harness that enables LLMs to complete any task.

Use Claude Code, OpenCode, Cursor CLI, and Codex on mobile and web with CloudCLI (aka Claude Code UI). CloudCLI is a free open source webui/GUI that helps you manage your Claude Code session and projects remotely.

Generate 3D objects conditioned on text or images

Official JavaScript / TypeScript library for the OpenAI API

PyTorch package for the discrete VAE used for DALL·E.

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

Code for the paper "Jukebox: A Generative Model for Music"

This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.

Point cloud diffusion for 3D model synthesis

Official repo for consistency models.

OpenAI Plugins

An AI-powered security review GitHub Action using Claude to analyze code changes for security vulnerabilities.

Train the smallest LM you can that fits in 16MB. Best model wins!