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How Will OpenAI’s AgentKit Change AI Agent Development?

OpenAI unveils AgentKit, transforming AI agent development with new tools, partnerships, and ecosystem advances after a landmark DevDay 2025 event in San Francisco.

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By Olivia Hall

4 min read

Image Credit: Openai
Image Credit: Openai

OpenAI introduced AgentKit at its DevDay 2025 event in San Francisco, staking its claim as a leader in making AI agent development accessible and rapid. CEO Sam Altman said the platform answers a surging demand for tools that make complex, autonomous AI systems far easier to build and scale.

AgentKit is described as a “complete set of building blocks” for developers aiming to take agents from prototype to production.

The announcement came alongside news that ChatGPT has reached 800 million active users weekly, amplifying the sense of momentum within OpenAI’s ecosystem.

What Is AgentKit and Why Now?

OpenAI’s AgentKit arrives as demand for autonomous AI agents reaches new highs, with organizations seeking robust solutions that go beyond basic prompt responses.

Sam Altman explained that AgentKit was created because existing developer tools for agents were fragmented and limited in accessibility.

Altman stated, “This is all the stuff that we wished we had when we were trying to build our first agents.”

The introduction of AgentKit closely follows the immense success of ChatGPT and addresses a perceived gap in the development process for agents.

By unveiling AgentKit, OpenAI is positioning itself as both a thought leader and a practical solution provider for the next wave of AI technology growth.

Did you know?
Christina Huang built two functional AI agents on stage live in under eight minutes to showcase AgentKit’s efficiency.

How Does AgentKit Simplify Agent Building?

AgentKit includes several core modules: Agent Builder, ChatKit, Evals for Agents, and the OpenAI connector registry. Agent Builder offers a visual drag-and-drop interface, described as “Canva for building agents,” which reduces technical complexity, allowing developers to focus on logic and deployment instead of low-level coding.

ChatKit makes it simple to add custom chat interfaces to any application. The toolkit’s Evals for Agents component enables developers to benchmark and fine-tune performance, thereby minimizing the guesswork typically involved in the testing phase.

Integration with OpenAI’s connector registry, offering secure access to third-party services, further accelerates development and deployment.

What Role Do Partnerships and Hardware Play?

The AgentKit launch coincided with a significant strategic move: a multi-billion-dollar partnership with AMD for a 6-gigawatt GPU deployment. This provides OpenAI with broad access to cutting-edge computational resources, while reducing its overreliance on a single vendor.

AMD’s Instinct MI450 GPUs are expected to start rolling out in late 2026, with OpenAI receiving the option to acquire up to 10 percent of AMD’s stock, signaling the depth of the partnership.

This hardware deal is expected to reduce costs and improve performance for developers using AgentKit.

OpenAI President Greg Brockman reflected on the need for compute, saying, “We require as much computing power as we can secure,” underlining the foundational role hardware plays in powering ambitious AI ecosystems.

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How Will Developers and Users Benefit?

With AgentKit, OpenAI aims to lower the barrier to entry for developing AI agents. Developers can move from prototyping to full production in a fraction of the traditional time thanks to drag-and-drop workflows and modular integrations.

Tools like ChatKit and Eval modules accelerate iteration cycles, and the SDK for apps enables developers to embed tools directly into ChatGPT conversations.

Users, on the other hand, gain instant access to expanded services, including Spotify, Figma, Coursera, Zillow, and Canva embedded within the core ChatGPT experience.

This seamless integration signifies a path toward “workflows, not just answers” inside conversational AI applications.

What’s Next for OpenAI and Autonomous Agents?

The unveiling of AgentKit marks the beginning of a broader era of autonomous agents. OpenAI has hinted that its priorities lie in reducing build friction, scaling agent output, and ensuring the responsible expansion of accessible AI solutions for both consumer and enterprise markets.

The Apps SDK launch confirms that these workflows will reach millions who already rely on ChatGPT’s growing suite of capabilities for productivity and creativity.

Industry watchers expect OpenAI’s AgentKit to spark an ecosystem rush as third-party developers, enterprises, and startups scramble to leverage these next-generation tools.

The blend of streamlined development, robust infrastructure, and deep integration will be key to defining the landscape of AI-powered agency in the years ahead.

As the dust settles from DevDay and the developer community absorbs AgentKit’s potential, all eyes are on OpenAI to deliver not just upgrades and features, but an enduring platform that shifts how AI agents are built and used across industries.

Will AgentKit become the cornerstone for future AI agent development?

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