OpenAI just dropped a big update to its Agents SDK, giving developers a more powerful and safer way to build autonomous AI agents. The new tools let agents inspect files, run commands, edit code, and handle long, complex tasks inside controlled sandbox environments. This means you can give an agent a secure workspace, clear instructions, and the right tools, and it can work through multi-step problems without going rogue. The SDK now includes configurable memory, sandbox-aware orchestration, filesystem tools similar to Codex, and standardized integrations with emerging agentic patterns like MCP for tool use, skills for progressive disclosure, and AGENTS.md for custom instructions. Early testers, like healthcare companies, found it reliable enough to automate critical workflows that previously failed. The key insight? The harness is designed to align with how frontier models perform best, making agents more reliable and efficient, especially for long-running tasks. Why it matters: OpenAI is standardizing the infrastructure for agentic AI, making it easier for developers to move from prototype to production without sacrificing safety or model performance.