OpenAI just updated its Agents SDK with a model-native harness and built-in sandbox execution. Developers can now run agents in isolated workspaces powered by providers like E2B, Modal, and Vercel, allowing them to inspect files, edit code, and run shell commands safely. The harness also snapshots state so long-running tasks survive crashes. It is rolling out first for Python.
OpenAI just announced that it is adding support for rival Anthropic’s open-source Model Context Protocol (MCP) across its entire product lineup. It is available immediately in the Agents SDK, with ChatGPT desktop and Responses API rollouts coming soon. Two fierce rivals are now aligned on the same data standard, making it far simpler to hook AI into real-world software.
OpenAI just launched a dedicated suite of tools to help developers build AI agents, anchored by the brand-new Responses API alongside built-in web search, file search, and computer use. It also released an Agents SDK and tracing tools to orchestrate complex multi-step workflows. Why it matters: OpenAI is streamlining agentic apps into a single endpoint and plans to sunset the Assistants API by mid-2026.
