Denly vs Codex cloud: compare execution, billing and review

Updated 2026-10-23

Codex cloud runs tasks in an OpenAI-hosted environment. Denly can coordinate the Codex CLI on machines you manage. Compare execution, account limits, data sharing and review controls separately; the two setups need not have identical features or configuration.

Denly is a control plane for coding agents (Claude Code, Codex, Cursor, Grok Build, Antigravity) that run on your own machines using your vendor subscription or API key. It manages tasks, plans and reviews across projects; Git-backed tasks can open pull requests, while no-Git projects end with a review of local changes. Codex is one of the runtimes it drives. Using Codex in both setups does not guarantee the same environment, features or results.

Our trade-off, first.Work runs only while your machine is awake and online: queued work waits for an available runner. Your Git host receives pushed code and your AI provider receives the context its CLI sends. Denly receives selected uploads that can contain source; see the data boundary and optional encryption coverage.

Side by side

	Codex cloud tasks	Codex CLI, driven by Denly
The agent	OpenAI Codex	OpenAI Codex CLI in this comparison; Denly also supports other runtimes
Where the repository is cloned	An isolated workspace from a published cloud environment	A checkout or isolated task workspace on your runner machine
Repository access	Choose the repositories and access available to the cloud environment	Scope the Denly GitHub App to selected repositories, or authorize GitLab through OAuth
What data is shared	OpenAI hosts the task's repository workspace; configure environment access and review its data policies	Denly supplies scoped runner credentials and receives selected uploads such as READMEs, plans, transcripts and no-Git review diffs, which can contain source. The AI provider receives context sent by its CLI; workspace E2E is optional
Who pays for inference	Your eligible account's included usage or additional credits, according to its plan	Your configured runtime account; subscription limits or separate API billing apply. Denly's plan is separate
Runs while your machine is off	Yes	No. Queued work waits for the runner
Environment	Reusable prepared setup; each task gets its own workspace	Your installed tools and reachable services; isolated workspaces may still need setup and checks
Gates before a merge	Review options depend on the Codex task workflow	The supervised flow has plan approval and PR review; workspace-enabled Autopilot can pass human gates after configured checks
Recurring work	Check Codex's current automation options	Daily, weekly or monthly schedules, with an optional timezone
Where tasks come from	The Codex surfaces	The dashboard, or any of 15 tracker and chat integrations

Product descriptions on this page were read from OpenAI's Codex cloud environment documentation and pricing and usage documentation on 23 October 2026. These products change; check their own pages before deciding.

When Codex cloud is the better choice

Choose hosted execution when work should continue while your laptop is off and the required repositories, tools and service access can be prepared remotely. OpenAI operates that environment; plan and capacity limits still apply.

When to run Codex on your own machine instead

The build needs something a fresh VM does not have: a local database, a device, a licensed toolchain, a dependency tree that takes twenty minutes to install.
You want to keep the working checkout on your hardware, while accepting the CLI provider's context handling and Denly's selected uploads.
You want configured plan-approval and review steps recorded across your projects.
You run more than one runtime CLI and want the same lifecycle over all of them.

What Denly adds on top of the CLI

Denly adds a shared task list across projects and machines, configurable plan and review gates, recurring schedules and runtime selection. It also adds runner setup, a separate coordination service and its own plan limits. If Codex's native workflow already meets your needs, that extra layer may not help.

Denly can report usage and cost information supplied by runtimes; missing data is not zero usage. For recovery, inspect the task's retained workspace and checkpoint before choosing Continue saved work or a deliberate phase retry. See security for the fields covered by optional workspace encryption and its limitations.

Questions people ask

Does Denly run Codex?

Yes. Denly drives the OpenAI Codex CLI on your machine, alongside Claude Code, Cursor, Grok Build and Antigravity. You pick the runtime as a workspace default or per project, and a failed task can be retried on a different one.

Which one uses my ChatGPT plan?

Both can use an eligible ChatGPT account, subject to its usage limits. API-key use, where supported, is billed separately. Denly uses the runtime authentication configured on your machine and adds no inference charge or extra provider allowance.

Does Denly's server see my source code?

Selected uploads can contain source: READMEs, docs, plans, transcripts, attachments and no-Git review diffs. The working checkout stays on your runner. Full output recording is the default; policy can select Text or Off. Without optional workspace E2E, uploaded content is readable to the service. See the security documentation for encryption coverage and known limitations.

Can I use both?

Yes, and for some teams that is the right answer. Codex cloud handles work that should run overnight while your laptop is closed; the local runner handles work that needs your environment, your database or your unpublished branch.