Comparisons / Mastra vs OpenAI Agents SDK

Mastra vs OpenAI Agents SDK: Which Agent Framework to Use?

Mastra is a TypeScript-first framework for building AI agents, from the team behind Gatsby. OpenAI's Agents SDK (evolved from Swarm) provides Agent, Runner, handoffs, and guardrails. Here is how they compare — paradigm, ecosystem, and the use cases each one is actually built for.

By the numbers

Mastra

GitHub Stars

22.7k

Forks

1.8k

Language

TypeScript

License

MIT

Created

2024-08-06

Created by

Mastra AI

Weekly downloads

244.0k

github.com/mastra-ai/mastra

OpenAI Agents SDK

GitHub Stars

20.6k

Forks

3.4k

Language

Python

License

MIT

Created

2025-03-11

Created by

OpenAI

github.com/openai/openai-agents-python

GitHub stats as of April 2026. Stars indicate community interest, not necessarily quality or fit for your use case.

ConceptMastraOpenAI Agents SDK
Agent`new Agent({ model, instructions, tools })` with automatic tool dispatch`Agent(name, instructions, model, tools)`
Tools`createTool({ name, schema, execute })` with Zod validationPython functions with type hints, auto-converted to schemas
Workflows`Workflow` class with `.step()`, `.then()`, `.branch()` for orchestration
RAGBuilt-in document syncing, chunking, embedding, and vector search
MemoryShort-term thread memory + long-term vector memory across sessions
StudioMastra Studio: local GUI for testing agents, viewing traces, debugging
Agent Loop`Runner.run()` handles the loop internally
Handoffs`Handoff` between `Agent` objects for multi-agent routing
Guardrails`InputGuardrail` and `OutputGuardrail` with tripwire pattern
ContextTyped context object passed through the agent lifecycle

Mastra vs OpenAI Agents SDK, head to head

Mastra Mastra is a TypeScript-first framework for building AI agents, from the team behind Gatsby.

OpenAI Agents SDK OpenAI's Agents SDK (evolved from Swarm) provides Agent, Runner, handoffs, and guardrails.

Both wrap the same underlying agent pattern — an LLM call, a tool dispatch, a loop — in different abstractions. The choice between them is mostly about which mental model and ecosystem fits the team you have, not which one is technically more capable.

Pick Mastra if

Pick Mastra if mastra is the best option for TypeScript teams that want a batteries-included agent framework without leaving the Node.js ecosystem. The workflow engine and Studio are genuinely productive. For simple agents or Python teams, the plain approach avoids an unnecessary dependency. Mastra is the right fit when the tradeoffs in its intro line up with how your team actually wants to work day-to-day; OpenAI Agents SDK would force you to translate.

Full Mastra comparison →

Pick OpenAI Agents SDK if

Pick OpenAI Agents SDK if the Agents SDK is the thinnest framework on this list — it barely abstracts beyond what you'd write yourself. Use it when you want OpenAI's conventions and auto-schema generation. Skip it when you want full control or use non-OpenAI models. OpenAI Agents SDK is the right fit when the tradeoffs in its intro line up with how your team actually wants to work day-to-day; Mastra would force you to translate.

Full OpenAI Agents SDK comparison →

What both add

Both Mastra and OpenAI Agents SDK pull in a class hierarchy and a dependency tree to wrap what is, at the core, an HTTP POST in a while loop. If your use case is straightforward — one provider, a handful of tools, a single agent — the framework cost may exceed the framework benefit. The lesson below shows the same pattern in ~60 lines without either dependency.

Or build your own in 60 lines

Both Mastra and OpenAI Agents SDK implement the same 8 patterns. An agent is a function. Tools are a dict. The loop is a while loop. The whole thing composes in ~60 lines of Python.

No framework. No dependencies. No opinions. Just the code.

Build it from scratch →