6OpenAI Release Notes·
OpenAI Agents SDK updated with sandbox execution, harness customization, and memory controls
OpenAI released an update to its Agents SDK adding three capabilities: running agents in controlled sandboxes, inspecting and customizing the open-source agent harness, and controlling when and where memories are created and stored. The sandbox and memory-control additions are particularly relevant for production agent deployments requiring isolation and state management. This is a tier-1 announcement from OpenAI's official release notes.
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Related events (8)
The next evolution of the Agents SDK
OpenAI has updated its Agents SDK with native sandbox execution and a model-native harness, enabling developers to build secure, long-running agents that operate across files and tools. The update targets production-grade agentic workflows by providing safer code execution environments and tighter integration with OpenAI models. This represents a continued push by OpenAI to mature its developer tooling for autonomous agent deployment.
OpenAI Agents SDK updated with TypeScript support and open-source harness
OpenAI has released an updated version of its Agents SDK with TypeScript support, adding sandbox agent capabilities and a built-in open-source harness. The update expands the SDK's language coverage beyond Python and lowers the barrier for TypeScript-based agent development. This is a steady-state ecosystem tooling update from a tier-1 source.
New Tools for Building Agents
OpenAI announced new tools aimed at developers building AI agents, published on March 11, 2025. The announcement comes from OpenAI's official blog, signaling a continued push to expand the agent-building ecosystem. Specific tools and capabilities were not detailed in the provided body text, but the source and framing indicate a product/tooling release targeting the agentic development workflow.
OpenAI Introduces AgentKit, Expanded Evals, and Reinforcement Fine-Tuning for Agents
OpenAI has released a suite of developer tools aimed at accelerating agent development from prototype to production. The release includes AgentKit (a new agent-building framework), expanded evaluation capabilities, and reinforcement fine-tuning (RFT) specifically designed for agentic use cases. These tools represent OpenAI's continued push to provide end-to-end infrastructure for building and deploying AI agents at scale.
Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock
OpenAI and Amazon Web Services are launching a Stateful Runtime Environment for Agents in Amazon Bedrock, enabling persistent orchestration, memory, and secure execution for multi-step AI agent workflows. The integration brings OpenAI's models into AWS's managed agent infrastructure with stateful capabilities. This represents a significant enterprise deployment partnership between two major AI ecosystem players.
OpenAI adds Analytics and Agents management to ChatGPT global admin console
OpenAI's ChatGPT enterprise admin console now includes two new areas: Analytics, providing consolidated usage metrics including active users, message activity, GPT/skill/connector drilldowns, and workspace health; and Agents, giving admins a centralized view of all workspace agents with details on activity, connected apps, memory, schedules, and run analytics. Workspace Owners can access both views from the global admin console. The update reflects OpenAI's push to give enterprise customers better observability and governance over AI agent deployments.
Running Codex Safely at OpenAI
OpenAI published a blog post describing the security architecture used to run Codex as a coding agent internally, covering sandboxing, human approval workflows, network policies, and agent-native telemetry. The post is aimed at supporting enterprise adoption of coding agents by demonstrating safe and compliant deployment patterns. It provides operational detail on how OpenAI itself governs agentic code execution in production.
OpenAI and Amazon Partner to Build Stateful Runtime Environment for AI Agents on AWS
OpenAI and Amazon Web Services announced a partnership to build a stateful runtime environment for AI agents, designed to manage agent working states including memories, tool connections, and user permissions, running on Amazon Bedrock. The deal includes a $15 billion Amazon investment in OpenAI (with up to $35 billion more contingent on conditions), a $100 billion expansion of compute commitments using Amazon Trainium chips over 8 years, and makes AWS the exclusive third-party cloud provider for OpenAI Frontier. The arrangement exploits a legal distinction between stateful runtime environments and stateless APIs, allowing OpenAI to work with AWS while Microsoft retains exclusive rights to host OpenAI's stateless API calls. This marks a significant loosening of OpenAI's exclusive cloud relationship with Microsoft, mirroring a parallel diversification trend with Anthropic across cloud providers.