"OpenAI’s new AgentKit makes building and deploying AI agents faster and simpler with its unified visual and code-based tools."
OpenAI Launches AgentKit: A New Era for Building AI Agents
OpenAI has introduced AgentKit, a powerful new platform that allows anyone to build, test, and deploy AI agents visually or through code. Designed for developers and non-developers alike, AgentKit brings together all the tools needed to create production-ready AI agents in one place.
What Exactly Is AgentKit?
AgentKit is an integrated suite of tools that simplifies how agents are created and managed. It includes:
- Agent Builder: A drag-and-drop visual interface that helps users design agent workflows—similar to tools like Zapier or Canva.
- Connector Registry: A secure admin hub for managing integrations with APIs, internal systems, and third-party services.
- ChatKit: Ready-to-use, customizable chat interfaces that make it easy to embed AI chat into apps or websites.
- Evals for Agents: Built-in evaluation and benchmarking tools that test how well your agents perform and help improve them over time.
How Does AgentKit Change the Workflow?
Traditionally, building an AI agent required combining several tools like LangChain, Zapier, or n8n. With AgentKit, everything is unified. Developers can move from idea to production in hours instead of weeks—saving up to 70% of development time.
The platform supports both visual and code-based workflows. You can mix and match modules, templates, and automation steps. This flexibility makes AgentKit suitable for creating reasoning-based autonomous agents that can plan, act, and verify results independently.
Why AgentKit Matters in the AI Ecosystem
AgentKit is a serious competitor to automation tools like n8n, Make, and LangChain. It combines the power of workflow design, API integration, and real-time chat into a single platform. This makes it especially valuable for enterprises that want to automate customer service, data operations, and research workflows efficiently.
Enterprise case studies already highlight its success—companies like Klarna and Ramp have reportedly reduced agent-building time from months to hours using AgentKit’s system.
Developer Experience and Integration
AgentKit integrates seamlessly with the Responses API, ensuring developers can leverage OpenAI’s reliable infrastructure. The platform supports both no-code and code-centric experiences, making it accessible to a wide range of teams. At DevDay 2025, OpenAI showcased how engineers built a fully functional production agent in under 10 minutes.
| Component | Main Function | Benefit |
|---|---|---|
| Agent Builder | Visual workflow design | Fast prototyping |
| Connector Registry | Integration management | Centralized control |
| ChatKit | Embeddable chat UI | Custom user experience |
Getting Started with AgentKit
You can explore AgentKit and sign up for access using OpenAI’s official onboarding page. The beta version is currently live, with ongoing updates and new features rolling out frequently.
AgentKit is designed to make AI agent development as easy and accessible as website building, OpenAI stated during its DevDay presentation.
FAQs About OpenAI AgentKit
1. Do I need coding skills to use AgentKit?
No. While developers can use code for customization, non-coders can create agents visually using the drag-and-drop interface.
2. Is AgentKit free to use?
AgentKit is currently in beta. Pricing details are expected to be announced after full release, but early access may be free for some users.
3. What makes AgentKit different from LangChain or Zapier?
AgentKit offers a unified ecosystem that includes building, integrating, testing, and deploying AI agents—all within a single platform. LangChain and Zapier typically require multiple external tools to achieve the same workflow.
