At its recent Dev Day event, OpenAI CEO Sam Altman announced AgentKit, a comprehensive toolkit aimed at helping developers build, deploy, and optimize AI agents seamlessly. The move underscores OpenAI’s push to simplify agent development and increase adoption across the tech community.

“AgentKit is a complete set of building blocks available in the OpenAI platform designed to help you take agents from prototype to production,” Altman said. “It’s everything you need to build, deploy, and optimize agent workflows with way less friction.”

This introduction of AgentKit marks a strategic play by OpenAI to compete with rival AI platforms that are also racing to offer integrated tools for autonomous agent development — not just narrative-driven systems.

Core Features of AgentKit

AgentKit comes with several foundational capabilities built to accelerate agent production and deployment:

• Agent Builder
  Dubbed by Altman as “Canva for agents,” this visual tool enables developers to design the logic, workflows, and steps of agents in a drag-and-drop style interface, built on top of OpenAI’s existing Responses API.
• ChatKit
  A lightweight embeddable chat interface, ChatKit lets developers incorporate conversational agent features into their own apps while maintaining branding and custom workflows.
• Evals for Agents
  A suite of evaluation tools to assess agent performance, including trace grading, component-level datasets, prompt optimization, and support for running evaluations on external models via the OpenAI platform.
• Connector Registry
  A secure admin panel that allows agents to connect safely to internal systems or third-party tools while preserving control and security.

To showcase the ease of use, OpenAI engineer Christina Huang built an entire workflow and launched two AI agents live on stage in under eight minutes — demonstrating the speed and accessibility of AgentKit.

Altman remarked, “This is all the stuff that we wished we had when we were trying to build our first agents.” He also noted that several launch partners have already begun using AgentKit to scale their own agent deployments.

What AgentKit Means for Developers

The introduction of AgentKit signals a maturation in the AI agent ecosystem. Instead of requiring developers to cobble together multiple APIs, frameworks, and tools, AgentKit centralizes agent creation, evaluation, and deployment under a unified system.

By lowering barriers to entry, OpenAI aims to expand the number of developers building real-world autonomous agents — agents that don’t just reply to prompts, but act, reason, and adapt over time. As OpenAI and other platforms increasingly compete in this space, AgentKit could emerge as a key foundation for the next generation of intelligent applications.