For developers building AI agents on OpenAI's platform, AgentKit is an agent-building suite that combines a visual Agent Builder, Agents SDK, ChatKit interface, and Connector Registry on the Responses API, already used by teams at Ramp and Klarna.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
AgentKit is OpenAI's attempt to make agent-building a platform capability rather than custom engineering: a visual Agent Builder canvas, an Agents SDK, an embeddable ChatKit interface, and a Connector Registry, all running on the Responses API, aimed at teams that want to move from prototype to production agent without stitching together their own orchestration layer. It sits inside OpenAI's developer platform, positioned in the agent-builder segment of developer tooling as a full builder rather than a point solution, with adopters spanning fintech, payments, and sales operations. Public discussion of the suite specifically is still early relative to the broader agent-platform category, the kind of infrastructure that shows up in workflow write-ups and comparisons rather than open debate.
LangChain
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Microsoft Copilot Studio
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Databricks Agent BricksRamp, Klarna, Clay, LY Corporation
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Business Profile
AgentKit launched October 6, 2025, at OpenAI's DevDay, bundling what had been separate agent-building components, Agent Builder, ChatKit, Connector Registry, and an evaluation layer, into one suite on the Responses API. As a product of OpenAI, it inherits the parent company's scale: 9,204 employees and $183 billion raised as of the last reported figures, resources that fund both the model layer AgentKit runs on and the enterprise-deployment push it now supports. Since launch, adoption has run through named production deployments rather than pilot programs, with the suite positioned as OpenAI's standard path for teams building agents on its platform.
Employees & founded inherited from OpenAI (parent).
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
AgentKit ships the full agent-development stack on one platform: an API and SDK for programmatic agent-building, an MCP-based Connector Registry for wiring in outside tools, a CLI for local development, and ChatKit for embedding a chat interface into a product. A visual Agent Builder canvas and a built-in evaluation layer sit on top, aimed at moving agents from prototype to production inside the same environment rather than handing off between separate tools at each stage.
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