Codex
Study Codex’s context, tool loop, and approval model to improve your own agent workflows, with CLI, SDK, and app-server options when runtime integration is needed.
- Coding
- Development Workflows
- Agent Workflows
- Code Review
- Tool Connections
Explore OpenAI’s public work on agent software and developer tools, with Codex as a representative project. Understand the organization, its open harness, and the distinction between public source, model access, and managed services.
OpenAI develops AI systems and the tools used to build applications around them. Its public engineering work includes software for model access and agent workflows. These projects have distinct responsibilities, so understanding the organization starts with separating research, developer tooling, and managed products.
Codex is a representative agent project in that public ecosystem. It provides a harness around model calls and exposes CLI, app-server, and SDK entry points. Its relevance goes beyond a terminal interface: applications can use the runtime while providing their own business context and user experience.
An open-source tool and a hosted AI service are different offerings. Read each repository’s license and product documentation to understand what can be reused, which model access is required, and which operations remain the responsibility of the surrounding application.
Codex provides a concrete reference for task context, tool execution, and runtime integration. Explore the open project as a source of workflow design ideas, with CLI, SDK, and app-server responsibilities compared before choosing an interface for your own application.
Explore other teams developing agent runtimes, coding tools, and reusable working environments.
Open the Codex guide to map repository context, tool feedback, tests, and approval points for one concrete change before choosing a CLI or application integration.