Overview
OpenAI AgentKit is a complete platform for designing, building, and deploying agentic applications—combining a visual Agent Builder, a code-first Agents SDK, built-in tools, and evals so you can ship production-ready agents quickly and reliably.
Key Features:
- Visual-first Agent Builder with drag-and-drop nodes, versioning, and guardrails
- Code-first Agents SDK (Node, Python, Go) powered by the Responses API
- Built-in tools: web search, file search, image generation, code interpreter, and computer use
- Connectors & MCP servers to bring internal and external context into agents
- ChatKit for deploying fully integrated, customizable chat UIs
- Evals with custom graders, prompt optimization, and trace grading
- Observability, orchestration, and optimization primitives for reliable workflows
- Templates and best practices to go from prototype to production faster
- Enterprise-grade security, privacy, and policy controls
Use Cases:
- Customer support and billing assistants with tool-augmented retrieval
- Research and analysis agents that browse, cite, and synthesize sources
- Operations automations that read files, run code, and execute browser tasks
- Sales enablement and buyer agents embedded in product experiences
- Internal copilots for data lookup, document Q&A, and workflow execution
- Developer tooling that exposes safe, governed actions to end users
Benefits:
- Faster iteration with a single platform for build, deploy, and optimize
- Higher reliability through guardrails, evals, and end-to-end observability
- Reduced engineering effort using a type-safe SDK and reusable templates
- Production-ready UI via ChatKit without weeks of custom front-end work
- Better accuracy from built-in tools, connectors, and retrieval
- Scales from a single use case to organization-wide agentic workflows