OpenAI's superapp hiding inside Codex
Summary
OpenAI has significantly updated its Codex platform, transforming it from a dedicated coding agent into a more comprehensive application that integrates features from ChatGPT and Atlas. This update introduces capabilities such as background computer use, allowing Codex to operate any Mac app and run multiple agents simultaneously, even in applications without APIs. A new memory preview feature enables context retention across sessions, while automations support long-running tasks. The platform also includes an Atlas-powered in-app browser for developers to direct Codex and inline gpt-image-1.5 for generating mockups. Codex has reached 3 million weekly users with 70% month-over-month growth, signaling OpenAI's strategic move towards an all-in-one "superapp" vision. Additionally, Anthropic released Claude Opus 4.7, which outperforms GPT-5.4 and Gemini 3.1 Pro in agentic coding benchmarks, though it trails Anthropic's unreleased Mythos Preview.
Key takeaway
For AI Architects evaluating platform strategies, OpenAI's Codex update signals a shift towards integrated "superapp" ecosystems, potentially simplifying complex workflows but requiring careful assessment of vendor lock-in. Your team should explore how these expanded agentic capabilities, including background computer use and persistent memory, could streamline development and operational tasks. Additionally, consider the implications of domain-specific models like GPT-Rosalind for specialized applications, as they may offer superior performance over general-purpose LLMs for targeted industry solutions.
Key insights
OpenAI is evolving Codex into a "superapp" with expanded agentic capabilities, while Anthropic's Opus 4.7 advances coding performance.
Principles
- Domain-specific models enhance performance for specialized tasks.
- Agentic capabilities are expanding beyond coding to general computer use.
Method
Install Ollama, select a lightweight model like gemma3 (3GB), download it, and then interact via chat for local LLM operation without internet.
In practice
- Use Ollama to run LLMs locally on laptops for free.
- Explore Codex's new features for multi-agent workflows and in-app browsing.
- Consider domain-specific models like GPT-Rosalind for scientific research.
Topics
- OpenAI Codex
- AI Superapp
- Anthropic Claude Opus
- Domain-Specific AI Models
- Local LLMs
Best for: CTO, VP of Engineering/Data, AI Architect, AI Engineer, Director of AI/ML, AI Product Manager
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Editorial summary, takeaway, and curation by AIssential. Original article published by The Rundown AI.