LangGraph vs OpenAI Agents SDK

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-08
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LangGraph or OpenAI Agents SDK: which should you choose?

DimensionLangGraphOpenAI Agents SDK
PricingFree · from $39/seat/moFree
Best forBackend and platform engineers shipping stateful agents to production, Teams that need human approval gates inside an agent loopPython developers building multi-agent workflows on OpenAI models, Teams automating code review, file inspection, and command execution with sandbox agents
Standout featuresGraph-based state management for explicit agent control flow · Human-in-the-loop checks to steer and approve agent actions · Built-in memory storing conversation history and context across sessionsAgents as LLMs configured with instructions, tools, guardrails, and handoffs · Single Runner executes text, sandbox, realtime, and voice agent workflows · Sandbox agents inspect files, run commands, apply patches, and preserve workspace state
Viability score81/10083/100
APIYesYes

LangGraph is the stronger pick for backend and platform engineers shipping stateful agents to production; OpenAI Agents SDK fits better for python developers building multi-agent workflows on openai models.

Built from live tool data, last verified 2026-11-08.

LangGraph
LangGraph

LangGraph is a low-level agent orchestration framework for building stateful, controllable AI agents as graphs.

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OpenAI Agents SDK
OpenAI Agents SDK

OpenAI Agents SDK: a free Python framework for building multi-agent workflows with handoffs, guardrails, and sandbox agents

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Pricing
Freemium
Free
Plans
DeveloperFree
Plus$39/seat/mo
EnterpriseCustom
Open Source (MIT)Free
Popularity
3.1k views
6.2k views
Skill Level
Advanced
Advanced
API Available
Platforms
API
API
Categories
🕸️ Agent Frameworks & Orchestration📡 LLM Observability & Evals
🕸️ Agent Frameworks & Orchestration
FeaturesLangGraphOpenAI Agents SDK
Graph-based state management for explicit agent control flow
Human-in-the-loop checks to steer and approve agent actions
Built-in memory storing conversation history and context across sessions
First-class token-by-token streaming of reasoning and actions
Single-agent, multi-agent, and hierarchical architectures in one framework
Low-level primitives for fully customizable agent design
Model-agnostic: build and ship with any model provider
MCP support in the open-source stack, including elicitation and the stateless protocol
Agent runtime for orchestrating long-running agent workflows
MIT-licensed open-source library, free to use
Agents as LLMs configured with instructions, tools, guardrails, and handoffs
Single Runner executes text, sandbox, realtime, and voice agent workflows
Sandbox agents inspect files, run commands, apply patches, and preserve workspace state
UnixLocalSandboxClient for local sandbox runs on macOS and Linux
DockerSandboxClient for Windows sandbox runs via openai-agents[docker]
Realtime voice and multimodal agents over WebSocket on gpt-realtime-2.1
Voice pipelines combining speech-to-text, an agent workflow, and streaming text-to-speech
GitRepo manifest entries to seed a sandbox with a repository
Agents-as-tools and handoffs for delegating work between agents
Configurable input and output guardrails for safety validation
Human-in-the-loop checkpoints across agent runs
Sessions for automatic conversation history, with optional Redis persistence
Built-in tracing to view, debug, and optimize agent runs
MCP tool integration plus function and hosted tools
Provider-agnostic across OpenAI Responses and Chat Completions APIs and 100+ LLMs via LiteLLM
IntegrationsLangGraphOpenAI Agents SDK
OpenAI
Anthropic
Google Gemini
OpenRouter
Fireworks
Baseten
Ollama
Azure
AWS Bedrock
HuggingFace
LiteLLM
Redis
Docker
GitHub

Frequently Asked Questions

Which is better, LangGraph or OpenAI Agents SDK?

The best choice between LangGraph and OpenAI Agents SDK depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between LangGraph and OpenAI Agents SDK?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of LangGraph or OpenAI Agents SDK?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

What else are LangGraph and OpenAI Agents SDK compared with?

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Where can you read more about LangGraph and OpenAI Agents SDK?

LangGraph
View LangGraph reviewLangGraph alternatives
OpenAI Agents SDK
View OpenAI Agents SDK reviewOpenAI Agents SDK alternatives

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Best AI Agent Frameworks & Orchestration toolsBest AI LLM Observability & Evals tools
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Analysis generated by our model pipeline from live data: