LangGraph vs OpenAI Agents SDK: Agent Frameworks Comparison
Compare LangGraph and OpenAI Agents SDK side by side. Both are tools in the Agent Frameworks category.
Quick Comparison
| Category | Agent Frameworks | Agent Frameworks |
| Website | langchain.com | github.com |
How to Choose a Agent Frameworks Tool
Key criteria to evaluate when comparing Agent Frameworks solutions:
About LangGraph
LangGraph is LangChain's graph-based orchestration framework for building stateful, multi-step AI agents. It models agent workflows as directed graphs with nodes and edges, enabling complex control flow patterns like branching, looping, and human-in-the-loop interactions. LangGraph supports persistent state, streaming, and deployment via LangGraph Cloud.
About OpenAI Agents SDK
The OpenAI Agents SDK is a lightweight Python framework for building multi-agent workflows with built-in tracing and guardrails. It provides primitives for defining agents with instructions and tools, orchestrating handoffs between agents, and implementing input/output guardrails for safety.
What is Agent Frameworks?
Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.
Browse all Agent Frameworks tools →