Alternatives to OpenAI Agents SDK
Lightweight framework for building agents
OpenAI Agents SDK ranks #9 of 10 in AI agent frameworks, with an Alt Score of 83. It is licensed under MIT and free from Free. 12 of 13 checklist rows are verified against a public source.
The OpenAI Agents SDK is a lightweight, provider-agnostic framework for building multi-agent workflows with handoffs and guardrails.
Python and JavaScript/TypeScript developers who want a lightweight, code-first framework for building multi-agent LLM applications rather than a hosted, no-code agent platform.
A free, MIT-licensed open-source SDK for defining agents with instructions, tools, and guardrails; delegating between agents via handoffs; persisting conversation history with Sessions; and observing runs with built-in tracing.
You install the package (pip install openai-agents or npm install @openai/agents), define Agent objects with instructions and function or hosted tools, and execute them with a Runner that is provider-agnostic across the OpenAI Responses/Chat Completions APIs and 100+ other LLMs, with optional streaming and human-in-the-loop approval steps.
Where OpenAI Agents SDK stands out
Verified capabilities most alternatives don't have.
Why people leave OpenAI Agents SDK
Dashed reasons are sourced facts; the rest are opinions. Vendors can dispute.
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Ranked alternatives
Ordered by Alt Score. Click any score to see the breakdown.
LangGraph is a low-level orchestration framework (by LangChain) for building stateful, multi-agent applications as graphs.
LlamaIndex is a data framework for building LLM applications and agent workflows over your own data (RAG + agents).
CrewAI is a Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a crew.
Haystack (by deepset) is an open-source framework for building production LLM applications, RAG pipelines and agents.
Mastra is an open-source TypeScript framework for building AI agents, workflows and RAG, from the team behind Gatsby.
Agno (formerly Phidata) is a full-stack Python framework for building multi-agent systems with memory, knowledge and tools.
AutoGen is an open-source Microsoft framework for building multi-agent applications with conversable, collaborating agents.
Semantic Kernel is a Microsoft open-source SDK for integrating LLMs and building AI agents in C#, Python and Java.
Pydantic AI is a Python agent framework that brings type-safe, structured outputs and dependency injection to LLM apps.
Feature comparison
Rows come from the AI agent frameworks checklist (17 rows). Human-verified cells only. ? means the value has not been verified.
| AI agent frameworks checklist | OpenAI Agents SDK | LangGraph | LlamaIndex | CrewAI | Haystack | Mastra |
|---|---|---|---|---|---|---|
| Pricing model | ||||||
| Starts at | ||||||
| License | ||||||
| Platforms | ||||||
| Open source | ||||||
| Language (Python) | ||||||
| Language (JS/TS) | ||||||
| Multi-agent orchestration | ||||||
| Graph / stateful workflows | ||||||
| Human-in-the-loop | ||||||
| Streaming support | ||||||
| Built-in memory / state persistence | ||||||
| Tool / function calling | ||||||
| Model-agnostic (multi-provider) | ||||||
| Observability / tracing integration | ||||||
| Managed / hosted deployment | ||||||
| RAG support |
Every fact and feature listed for OpenAI Agents SDK is verified against its own pages. Each alternative is sourced on its own page.
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License MIT verified 2026-07-16
MIT License
https://raw.githubusercontent.com/openai/openai-agents-python/main/LICENSE -
Pricing model Free verified 2026-07-16
The SDK itself is a free, MIT-licensed open-source library with no paid tiers; usage costs are for the underlying LLM API calls, not the SDK.
Permission is hereby granted, free of charge, to any person obtaining a copy
https://raw.githubusercontent.com/openai/openai-agents-python/main/LICENSE -
Starts at Free verified 2026-07-16
Same basis as pricing_model.
Permission is hereby granted, free of charge, to any person obtaining a copy
https://raw.githubusercontent.com/openai/openai-agents-python/main/LICENSE -
Status active verified 2026-07-16
pushed_at": "2026-07-16T22:17:00Z"" — Repo pushed to same-day as research date; PyPI shows latest release openai-agents 0.18.2 published 2026-07-11, days earlier.
https://api.github.com/repos/openai/openai-agents-python -
Open source Yes verified 2026-07-16
We're committed to continuing to build the Agents SDK as an open source framework so others in the community can expand on our approach.
https://raw.githubusercontent.com/openai/openai-agents-python/main/README.md -
Language (Python) Yes verified 2026-07-16
set up your Python environment (Python 3.10 or newer required), and then install OpenAI Agents SDK package
https://raw.githubusercontent.com/openai/openai-agents-python/main/README.md -
Language (JS/TS) Yes verified 2026-07-16
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows in JavaScript/TypeScript.
https://raw.githubusercontent.com/openai/openai-agents-js/main/README.md -
Multi-agent orchestration Yes verified 2026-07-16
Handoffs allow an agent to delegate tasks to another agent.
https://openai.github.io/openai-agents-python/handoffs/ -
Human-in-the-loop Yes verified 2026-07-16
Use the human-in-the-loop (HITL) flow to pause agent execution until a person approves or rejects sensitive tool calls.
https://openai.github.io/openai-agents-python/human_in_the_loop/ -
Streaming support Yes verified 2026-07-16
To stream, you can call Runner.run_streamed() , which will give you a RunResultStreaming.
https://openai.github.io/openai-agents-python/streaming/ -
Built-in memory / state persistence Yes verified 2026-07-16
The Agents SDK provides built-in session memory to automatically maintain conversation history across multiple agent runs, eliminating the need to manually handle .to_input_list() between turns.
https://openai.github.io/openai-agents-python/sessions/ -
Tool / function calling Yes verified 2026-07-16
Function calling: wrap any Python function as a tool.
https://openai.github.io/openai-agents-python/tools/ -
Model-agnostic (multi-provider) Yes verified 2026-07-16
It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.
https://raw.githubusercontent.com/openai/openai-agents-python/main/README.md -
Observability / tracing integration Yes verified 2026-07-16
The Agents SDK includes built-in tracing, collecting a comprehensive record of events during an agent run: LLM generations, tool calls, handoffs, guardrails, and even custom events that occur.
https://openai.github.io/openai-agents-python/tracing/ -
Managed / hosted deployment No verified 2026-07-16
Described throughout as a framework/library you install and run yourself; no fetched page describes a first-party managed or hosted runtime for deploying agents.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
https://raw.githubusercontent.com/openai/openai-agents-python/main/README.md -
RAG support Partial verified 2026-07-16
Retrieval is available as a built-in hosted tool against OpenAI Vector Stores, not a general-purpose RAG pipeline (ingestion/chunking/embedding) that works with arbitrary vector databases.
The FileSearchTool allows retrieving information from your OpenAI Vector Stores.
https://openai.github.io/openai-agents-python/tools/
FAQ
Yes. AutoGen, Semantic Kernel and Pydantic AI have a free tier or are fully free. Free-tier limits in the comparison table are verified and dated.
LangGraph, LlamaIndex and CrewAI — every license claim links its source.