The short version
These two SDKs look similar from a distance but sit at different levels. The OpenAI Agents SDK is a small set of primitives: agents, handoffs, guardrails, sessions and tracing. You bring the tools. The Claude Agent SDK is a full agent harness: it ships with tools to read and edit files, run commands and search the web, plus subagents, hooks and permissions, because it is the engine inside Claude Code.
Pick the OpenAI Agents SDK when you want a light library inside your existing service. Pick the Claude Agent SDK when the agent needs to do long, multi-step work through files and tools with strong guardrails.
Where the OpenAI Agents SDK wins
Light and flexible. It runs in your application process like any other library. A customer-facing chat agent behind your API needs no sandbox per user, which keeps hosting simple.
Handoffs between agents. Triage, billing and technical agents can pass a conversation to each other cleanly. That pattern suits support agents and front-desk assistants.
Voice. Realtime agents with interruption handling and speech pipelines are built in, a real head start for phone support agents.
Model flexibility. You can run non-OpenAI models through compatible endpoints and adapters, so you are not locked to one vendor.
Tracing out of the box. Every run produces a trace you can inspect, and you can route traces to your own processor.
Where the Claude Agent SDK wins
Tools already built. File reading and editing, shell commands, search and web access work on day one. For an agent that processes documents, reconciles spreadsheets or researches a topic across many sources, that removes a lot of code.
Long tasks done well. Claude Code’s context management, subagents and session resume and fork are designed for work that runs for many steps. Sessions can persist to your own storage and resume later.
Control over every action. Permission modes, allow and deny rules, and hooks that run before or after each tool call let you block risky actions, require approvals and log everything.
Packaging and extension. Skills, plugins and MCP servers let you package know-how and connect internal systems in a reusable way.
Enterprise cloud options. You can run Claude models through Amazon Bedrock, Google Cloud or Microsoft Foundry, which often fits existing procurement and data residency rules.
What we recommend
For conversational, customer-facing agents, multi-agent handoffs and voice, start with the OpenAI Agents SDK. For back-office agents that work through documents, data and tools over many steps, start with the Claude Agent SDK. We pick the model for each task based on tests, not loyalty, and the model choice is covered in OpenAI API vs Claude API for agents.
Lumeor builds agents with either SDK. For budgets, see the cost of a custom AI agent.