OpenAI Launches AgentKit To Help Developers Build And Ship AI Agents
OpenAI launches AgentKit to help developers build and ship AI agents faster than ever before. Announced by CEO Sam Altman during OpenAI Dev Day 2025, AgentKit is designed to make it easier for developers to take AI agents from prototype to production with minimal friction.
Image Credits:OpenAI
Altman described AgentKit as “a complete set of building blocks” that enables developers to build, deploy, and optimize AI workflows seamlessly. The launch underscores OpenAI’s strategy to boost developer adoption by simplifying agent creation—while competing with other AI platforms building autonomous systems for enterprise use.
A Major Step Toward Smarter AI Agents
AgentKit is one of OpenAI’s most developer-focused releases yet. The toolkit combines powerful tools and APIs that allow developers to create AI agents capable of handling complex, real-world tasks—not just responding to prompts.
This move comes alongside other Dev Day announcements, including the ability to build apps directly inside ChatGPT, which recently surpassed 800 million weekly active users.
Core Features Of OpenAI’s AgentKit
AgentKit introduces several key components that make AI development faster, more visual, and collaborative.
1. Agent Builder: “Canva For Agents”
Altman called Agent Builder “like Canva for building agents.” It provides a fast, intuitive, and visual way to design agent logic and workflows. Built on OpenAI’s Responses API, it leverages the tools already used by hundreds of thousands of developers.
2. ChatKit: Bring Chat To Any App
ChatKit lets developers embed customizable chat experiences directly into their apps. From brand styling to unique workflows, developers can integrate OpenAI-powered chat while maintaining full creative control.
3. Evals For Agents: Smarter Testing Tools
Evals for Agents introduces built-in performance evaluation tools. It includes:
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Step-by-step trace grading
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Datasets for testing agent components
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Automated prompt optimization
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Direct evaluations on external models
This ensures every AI agent is fine-tuned for reliability and real-world performance.
4. Connector Registry: Secure Integrations
AgentKit also provides access to OpenAI’s connector registry, allowing developers to securely connect agents to internal tools and third-party apps. With an admin control panel, organizations can maintain control, visibility, and compliance while extending agent capabilities.
Live Demo: Building AI Agents In Minutes
To showcase AgentKit’s power, Christina Huang, an OpenAI engineer, demonstrated how to build a complete AI workflow and two AI agents live onstage—in under eight minutes. The demo highlighted AgentKit’s flexibility, user-friendliness, and real-world readiness for developers of all experience levels.
Why AgentKit Matters For Developers
With AgentKit, OpenAI is not just releasing another tool—it’s creating a developer ecosystem. By combining Agent Builder, ChatKit, Evals, and secure connectors, OpenAI empowers developers to move from experimentation to deployment in record time.
This toolkit signals a broader trend: AI agents are becoming core building blocks of software, not just add-ons. And with OpenAI leading the charge, the future of developer tools looks faster, more secure, and more intelligent.
As OpenAI launches AgentKit to help developers build and ship AI agents, it reinforces the company’s mission to make advanced AI accessible and practical for all. Whether you’re a solo developer or an enterprise team, AgentKit offers everything you need to bring powerful, autonomous agents to life—quickly and confidently.
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