OpenAI Introduces AgentKit: Build AI Agents Without Custom Infrastructure
AgentKit gives developers a standardized way to build, test, and deploy AI agents with built-in tools for web search, file operations, and computer use — no custom tooling needed.
OpenAI launched AgentKit, a higher-level toolkit built on top of the Agents SDK that abstracts away the most common infrastructure needs for AI agents.
Built-in tools: Web search, file search, code execution, and computer use come pre-configured — no custom tool definitions required for the most common agent tasks.
Template library: Dozens of starter templates cover common agent patterns: research agents, coding assistants, data extraction pipelines, and customer support bots.
Testing environment: AgentKit includes a simulation environment where you can test agent behaviors, edge cases, and failure modes before deploying to production.
The toolkit is especially useful for teams that want production-ready agents fast — without building the underlying infrastructure from scratch.
Want automation like this for your business?
Book a free call and we'll show you exactly what's possible for your setup.