OpenAI has acquired the German startup Ona (formerly Gitpod GmbH). This acquisition gives the Codex AI coding agent a persistent sandbox environment that can run for extended periods inside customer cloud setups. It directly addresses the biggest pain point for Codex users: tasks getting cut off mid-execution. It also signals that enterprise adoption of Codex is about to accelerate.

📑Table of Contents
  1. Overview of OpenAI’s Ona Acquisition
  2. Background of the Acquisition and Ona’s Technology
  3. Improvements to Codex Long-Running Task Execution
  4. Differentiation from Competitors
  5. Impact on Enterprise Codex Adoption
  6. Summary and Future Outlook
  7. Frequently Asked Questions (FAQ)
  8. Comparison Table: Codex vs Competitors

Overview of OpenAI’s Ona Acquisition

In June 2026, OpenAI acquired the German startup Ona. Ona was previously known as Gitpod GmbH and provided cloud-based development environments. The primary goal of this acquisition is to strengthen Codex’s execution environment by enabling persistent sandboxes that run for long durations inside customer clouds.

The acquisition allows Codex to operate more reliably in enterprise settings. It removes a major barrier for companies looking to adopt Codex at scale. For OpenAI, this move significantly boosts the competitiveness of Codex in the AI coding space.


Background of the Acquisition and Ona’s Technology

Ona originated as Gitpod, offering a cloud IDE that runs in the browser. Developers could work from anywhere with a consistent environment. OpenAI is integrating this technology into Codex to give AI agents a stable foundation for long-running tasks without interruptions.

The acquisition was driven by user feedback about instability during long-running tasks in Codex. Ona’s persistent sandbox technology solves this at the root. This makes it much easier for enterprises to confidently adopt AI coding tools.


Improvements to Codex Long-Running Task Execution

Previously, Codex often lost connection during long tasks, interrupting complex refactoring or large-scale code generation. The Ona acquisition directly solves the “tasks getting cut off mid-execution” problem that frustrated many users.

With the persistent sandbox, Codex agents can now run stably inside customer cloud environments. Tasks can complete without the risk of interruption, significantly boosting developer productivity and reliability for enterprise use cases.


Differentiation from Competitors

Compared to competitors like Claude Code and Cursor, Codex now holds a clear advantage in long-running execution environments and enterprise cloud integration. Security has also been strengthened, making it a stronger choice for business use.

While competitors often impose limits on long tasks, Codex overcomes this with its persistent sandbox. This makes Codex the preferred option for large-scale enterprise projects where AI agents need to operate reliably over extended periods.


Impact on Enterprise Codex Adoption

The acquisition signals OpenAI’s commitment to enterprise Codex deployments. Improved security and reliability lower the barriers for companies adopting AI coding tools. OpenAI is positioning Codex as a flagship product for the enterprise market.

The persistent sandbox allows enterprises to run Codex safely within their own cloud environments. This helps meet data sovereignty and security requirements, accelerating adoption. It marks a turning point for Codex in enterprise settings.


Summary and Future Outlook

Codex’s evolution will further improve developer productivity. The long-term impact of the Ona acquisition is expected to accelerate enterprise adoption of AI coding tools and fundamentally change how software is developed.

Going forward, Codex will handle more complex tasks with greater stability, reducing the burden on developers. OpenAI’s Codex strategy strengthens its competitive position in the enterprise market.


Frequently Asked Questions (FAQ)

Q1: How will the Ona acquisition change Codex?

The persistent sandbox will allow long-running tasks to execute stably. There will be far less risk of connections dropping mid-task, even during complex work.

Q2: Will the long-running task problem really be solved?

Yes. Ona’s technology provides a persistent sandbox inside customer cloud environments. This enables tasks to run for extended periods without interruption.

Q3: What makes Codex different from competitors?

Codex leads in long-running execution environments and enterprise cloud integration. Security has also been strengthened, making it especially suitable for enterprise use.

Q4: Is enterprise use secure?

Security has been enhanced through the acquisition. Running inside customer cloud environments makes it easier to meet data sovereignty and security requirements.

Q5: When will this become available?

Availability will roll out progressively as integration completes. Watch for official announcements from OpenAI for the exact timeline.


Comparison Table: Codex vs Competitors

Item Codex (Post-Ona) Claude Code Cursor
Long-running execution Persistent sandbox Limited Limited
Enterprise cloud integration Strong Medium Medium
Security Enhanced Standard Standard

Source: The Next Web, CNBC (June 2026)

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krona23

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krona23

Over 20 years in the IT industry, serving as Division Head and CTO at multiple companies running large-scale web services in Japan. Experienced across Windows, iOS, Android, and web development. Currently focused on AI-native transformation. At DevGENT, sharing practical guides on AI code editors, automation tools, and LLMs in three languages.

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