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This article details a technical integration where the OpenClaw agent platform adopts OpenAI's native Codex app-server harness as the default runtime for GPT models, optimizing the low-level reasoning loop and tool execution. By aligning the model's internal state management with OpenAI's native architecture, this update reduces translation friction while allowing OpenClaw to retain control over user-specific configurations like memory, personas, and channel integrations. The move represents a significant evolution in how agent platforms interface directly with foundational model runtimes to enhance coherence and efficiency.

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OpenAI Models in OpenClaw, Done Right

OpenClawMay 14, 20266 min read

OpenClaw now runs OpenAI agent turns through the native Codex app-server harness by default, while bringing the lessons back to every model.

Your ChatGPT subscription can now power an OpenClaw agent that feels much closer to the model it is built on. OpenClaw already supported OpenAI models, but the old path made OpenClaw drive the model loop itself. That worked, but it also meant OpenClaw was translating between its own harness and the runtime OpenAI is actively building for agentic work. That changes with the Codex app-server harness becoming the default runtime for OpenAI agent turns. openai/gpt-* agent turns now run through the native Codex app-server path by default. OpenClaw still owns the parts that make the assistant yours: channels, persona, memory, sessions, cron, media, browser, gateway, and OpenClaw tools. Codex owns the low-level OpenAI loop: native thread…

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