OpenAI updates Agents SDK with native sandboxing and an in-distribution harness for deploying and testing agents on long-horizon tasks (Lucas Ropek/TechCrunch)

Lucas Ropek / TechCrunch: OpenAI updates Agents SDK with native sandboxing and an in-distribution harness for deploying and testing agents on long-horizon tasks — Agentic AI is the tech industry's newest success story, and companies like OpenAI and Anthropic are racing to give enterprises the tools they need to create these automated little helpers.

Deep Agents deploy gets you: - Deep Agents harness - Sandbox of your choice (@daytonaio , @modal , @RunloopDev ) - Short and long term memor…
I open-sourced an agent architecture that’s born for long-horizon tasks, which Manus and OpenClaw don’t natively support very well
Long-horizon AI research agents are mostly a state-management problem. It is not enough for an agent to reason well in the next turn. ML res…
For anyone building agentic workflows: the real bottleneck isn't the model, it's the harness. Open standards are a must, not just for flexib…
OpenAI x e2b: Build your agents with the new OpenAI Agents SDK, powered by @E2B Sandboxes. Excited to support @OpenAI as a launch partner!

Source: Techmeme | 2026-04-15

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