OpenAI Agents SDK Gets Sandboxing: Enterprise AI's Missing Layer

Mon, 01 Jan 0001 00:00:00 +0000

For two years, enterprise AI pilots shared the same confession: “Our agents can reason brilliantly, but we can’t actually let them touch production systems.” The missing layer was not intelligence — it was safe, isolated execution. On April 15, 2026, OpenAI closed that gap with a significant update to its Agents SDK, introducing native sandbox execution that gives AI agents a controlled workspace to read and write files, install dependencies, run code, and use tools — all without touching the broader enterprise environment. The move signals that the agentic AI moment is no longer a forecast; it is a deployment requirement.

Planning-with-Files: Persistent Markdown Planning Skill for AI Coding Agents

Mon, 01 Jan 0001 00:00:00 +0000

Planning-with-Files is an innovative open-source project by OthmanAdi that implements a persistent markdown-based planning system for AI coding agents. Inspired by Manus’s planning approach, the project uses a structured 3-file system to maintain a living plan document that evolves as the AI agent works through tasks. It’s designed as both a Claude Code skill and a standalone integration via the Agents SDK.

The core insight behind Planning-with-Files is that AI coding agents – particularly those working on complex, multi-step tasks – benefit enormously from persistent, structured planning that survives across conversation turns and model context window limitations. By maintaining plans in markdown files that are read, updated, and written back as work progresses, the system enables AI agents to maintain coherent long-term strategies even when context windows are exhausted.

Agents SDK on SoloSoft

OpenAI Agents SDK Gets Sandboxing: Enterprise AI's Missing Layer

Planning-with-Files: Persistent Markdown Planning Skill for AI Coding Agents