Choose Codex directly when the session needs its sandbox and approvals.
Reviewing a local diff, trying disposable edits, and running commands with the network off belong in a live Codex session, with you approving each step.
Codex CLI is OpenAI's Apache 2.0 agent for exploring, editing, running, and reviewing code from a sandboxed terminal. ProPR runs Codex unattended: you approve a plan, Codex implements in isolation, and the result arrives as a pull request your team reviews in GitHub.

Codex owns the sandboxed terminal session, its approvals, and its code review. ProPR turns a scoped task into a reviewed pull request on your ChatGPT plan, with every run on record.
Codex CLI is a full local coding agent with an interactive terminal UI, a plan mode, configurable approvals, operating-system sandboxing with network access off by default, code review, and a non-interactive execution mode. It runs OpenAI models on a ChatGPT plan or API key, and its provider configuration also reaches Amazon Bedrock, Google Cloud, Ollama, and LM Studio. Direct use gives you a tight loop for investigation, implementation, testing, review, and command-level control. The GitHub side of Codex lives in Codex Cloud: @codex review on a pull request posts a review, and other @codex comments start a cloud chat that can push a fix to the branch.
Codex inside ProPR implements on your ChatGPT plan or OpenAI API key. You approve the plan, Codex works in an isolated workspace on your server, and ProPR opens the pull request with the full run attached.
Codex's own comment flow, @codex on a pull request, runs in Codex Cloud. Inside ProPR the same request is a plain comment, answered on your server by Codex or by any of the other four agents, with each run in the task history. Codex also runs goals inside ProPR with live steering.
| Question | Codex CLI | ProPR with Codex |
|---|---|---|
| Interactive terminal session | Yes | No, unattended runs |
| Open source | Apache 2.0 | Apache 2.0 |
| Plan before implementation | Plan mode in the session | Reviewed plan on every task |
| Isolation for a run | OS sandbox, network off by default | Isolated workspace per task |
| Branch, commit, push, and PR after implementation | Agent-driven or scripted | Every task |
| Shared task history and logs | Local session state | Yes |
| A PR comment starts the next commit | @codex comments run in Codex Cloud | Any plain comment |
| Claude, Gemini, Mistral, or OpenCode on the same path | No, Codex only | Five supported agents |
Reviewing a local diff, trying disposable edits, and running commands with the network off belong in a live Codex session, with you approving each step.
Run several Codex tasks at once, each ending in a PR. A second model reviews it, plain comments drive the fixes, and a Claude or Gemini run can pick up the same branch.
OpenAI-hosted tasks started from ChatGPT, with @codex review and fixes on the pull request.
Codex implements, reviews, or follows up on the ChatGPT plan or API key you already hold.
Verified November 2026: github.com/openai/codex, Codex CLI docs, sandboxing, config reference, GitHub integration, Codex pricing.
Install ProPR (quickstart) or pick a ProPR Hosted plan, add the repository, and sign in Codex with your ChatGPT plan or API key.
Investigate in a live session as before. When the change has a shape, write it as a GitHub issue and add the AI label, or run propr issue implement; ProPR plans it, runs Codex in isolation, and opens the pull request.
A plain comment becomes the next commit; /review and /fix handle AI findings, and a Claude or Gemini run can pick up the same branch. The CLI playbook drives the loop from the terminal.