OpenAI CEO Sam Altman announced AgentKit, a comprehensive toolkit that enables developers to build, deploy, and scale AI agents with minimal effort. Revealed at OpenAI’s Dev Day, the platform underscores the company’s goal to streamline agent creation. It also aims to strengthen OpenAI’s competitive edge in the rapidly evolving AI ecosystem.
AgentKit provides an end-to-end suite of tools that guide developers from prototype to production. Its core component, Agent Builder, offers a fast, visual environment for designing agent logic and workflows. Built on OpenAI’s existing responses API, it allows developers to experiment and iterate efficiently.
Another key feature, ChatKit, lets teams embed chat experiences directly into their own applications while preserving brand identity and workflow customization. Evals for Agents introduces advanced evaluation capabilities, enabling performance tracking, dataset testing, and automated prompt optimization within the OpenAI platform. AgentKit also integrates with a secure connector registry, allowing agents to connect safely with internal tools and external systems under centralized admin control.
The launch of AgentKit highlights OpenAI’s vision of making sophisticated AI agent development accessible to all. It reflects the company’s broader mission to empower developers and businesses to build smarter, more autonomous systems with minimal technical barriers.
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