4OpenAI Release Notes·
OpenAI Codex adds Team Config for shared configuration across repositories and machines
OpenAI's Codex now supports a Team Config system that allows teams to standardize configuration across repositories and machines by sharing config files, command-control rules, and reusable workflow skills. Configuration is loaded from a layered hierarchy of .codex/ folders spanning working directory, parent directories, repo root, user home, and system locations, with higher-precedence locations overriding lower ones. Admins can enforce hard constraints via a requirements.toml file that overrides all other defaults. This is a tooling update aimed at enterprise and team-scale deployment of Codex.
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Related events (8)
Codex is now generally available
OpenAI has moved Codex to general availability, introducing a Slack integration, a Codex SDK, and enterprise-oriented admin tools including usage dashboards and workspace management. The release positions Codex as a scalable developer and enterprise product. These additions suggest OpenAI is targeting broader organizational adoption beyond individual developers.
Introducing upgrades to Codex
OpenAI has announced upgrades to Codex, its AI coding agent, improving speed, reliability, and real-time collaboration capabilities. The updates extend Codex's reach across multiple development environments including terminal, IDE, web, and mobile. The announcement emphasizes both interactive collaboration and autonomous task execution.
OpenAI Codex adds plugin system with MCP server configuration support
OpenAI has shipped a plugin system for Codex that allows installable bundles packaging skills, app integrations, and MCP server configuration for reusable workflows. Plugins are available across the Codex app, CLI, and IDE extensions, and can be installed per-user or per-repository. The system supports both a curated public plugin directory and local plugin scaffolding via a built-in @plugin-creator skill. The inclusion of MCP server configuration as a first-class plugin component signals continued convergence on MCP as a standard for tool integration in agentic coding environments.
OpenAI Codex for Business adds coworker invitations, Developer mode, and app access controls
OpenAI released several Codex updates for Business users, including coworker invitation flows with referral bonuses, a Developer mode enabling Chrome DevTools Protocol (CDP) access for debugging in the Codex browser, and per-app access controls for Computer Use on Windows. Additional changes include an /init command for generating AGENTS.md scaffolds, clearer usage-limit error messages, and an Unread chats section in the command menu. These updates expand Codex's enterprise administration controls and developer tooling depth.
OpenAI expands Codex with plugins, sites, and annotations for non-engineering roles
OpenAI announced new Codex capabilities including plugins, sites, and annotations targeting analysts, marketers, designers, investors, and other non-engineering teams. The expansion positions Codex as a broader productivity platform beyond software development. This represents a product surface expansion for OpenAI's coding-focused AI agent.
OpenAI adds Codex access tokens for automated CI/script workflows in ChatGPT Enterprise
OpenAI has added support for Codex access tokens in ChatGPT Enterprise, allowing workspace admins to permit members to authenticate Codex for non-interactive, automated workflows. Tokens enable Codex to run from scripts, schedulers, and private CI runners while maintaining ChatGPT workspace identity. This extends Codex's reach into developer automation pipelines beyond interactive use.
OpenAI creative team uses Codex as internal prototyping and ideation collaborator
OpenAI's creative team has adopted Codex as an internal tool for building custom creative tools, accelerating ideation, and faster prototyping. The post describes a deployment case study of Codex being used in a non-engineering creative context within OpenAI itself. It illustrates how agentic coding assistants are being integrated into creative workflows beyond traditional software development.
OpenAI adds curated plugins directory to Codex for reusable workflows
OpenAI has introduced a plugins directory in Codex that allows users to discover, install, and share packaged workflows combining skills, app integrations, and MCP server configurations. Plugins are installable bundles designed to make reusable Codex setups portable across projects and teams. Workspace owners retain control over plugin availability through existing app access controls.