LangGraph vs OpenAI Agents SDK: the honest comparison
The short answer
Edition v2026.Q3 · pricing and status verified 2026-08-06.
Choose LangGraph for long-running, stateful agents that must survive restarts, pause for human approval, and resume — the production-grade default. Choose OpenAI Agents SDK for the shortest path from idea to working agent — minimal primitives (agents, handoffs, guardrails, sessions) with OpenAI's weight behind them.
On the elems table, LangGraph holds seat #1 of the Agent Framework element and OpenAI Agents SDK holds #2 — this is the closest call in the category, and the honest answer depends on which trade-off you can live with.
The case for each
1LangGraphLangChain
Framework free (MIT) · LangSmith/Platform: Dev $0 + usage · Plus $39/seat/mo · Enterprise customBest for Long-running, stateful agents that must survive restarts, pause for human approval, and resume — the production-grade default.
Watch The steepest learning curve of the top five — graph ceremony is overkill for simple tool loops, and the ecosystem's gravity pulls you toward paid LangSmith/Platform ($1.50/LCU adds up on chatty agents). Aggregate download counts include heavy CI/mirror traffic — treat absolutes with care.
2OpenAI Agents SDKOpenAI
Free (MIT) · you pay standard OpenAI API token + tool pricing · works with 100+ providers via LiteLLMBest for The shortest path from idea to working agent — minimal primitives (agents, handoffs, guardrails, sessions) with OpenAI's weight behind them.
Watch Still pre-1.0 (v0.19.4) after 99 releases — API drift is real and testers hit breaking changes. Provider-agnostic on paper, but tracing, evals, and the new harness all pull you deeper into the OpenAI platform.
LangGraph vs OpenAI Agents SDK: side by side
Edition v2026.Q3 · verified 2026-08-06.
| LangGraph | OpenAI Agents SDK | |
|---|---|---|
| Language | Python · JS | Python · TS |
| License | MIT | MIT |
| Installs (30d, Aug 2026) | 71.6M PyPI | 35.5M PyPI |
| Multi-agent model | Graphs, supervisor, swarm | Handoffs + guardrails |
| Durable state | Native checkpoints + resume | Sessions; harness snapshots (Apr 2026) |
| Models | Any provider | OpenAI-first, 100+ via LiteLLM |
| MCP / A2A | MCP yes · A2A via platform | MCP yes |
| Managed platform | LangGraph Platform + LangSmith | OpenAI platform / AgentKit |
What each side won't tell you
LangGraph: The steepest learning curve of the top five — graph ceremony is overkill for simple tool loops, and the ecosystem's gravity pulls you toward paid LangSmith/Platform ($1.50/LCU adds up on chatty agents). Aggregate download counts include heavy CI/mirror traffic — treat absolutes with care.
OpenAI Agents SDK: Still pre-1.0 (v0.19.4) after 99 releases — API drift is real and testers hit breaking changes. Provider-agnostic on paper, but tracing, evals, and the new harness all pull you deeper into the OpenAI platform.
If it's neither
The rest of the top five: CrewAI (multi-agent teams, fast) · Pydantic AI (type-safe, agents as software) · Mastra (the typescript stack). The complete field — 21 more tools including the graveyard — is on the element page.
This analysis is drawn from the Agent Framework element dossier — the ranked top 5, the comparison matrix, and the complete field of 21 more tools live there, with every source. Data: ag.json (CC BY 4.0).
Every claim above is dated and sourced from the elems dossiers — 1,421 tools tracked across 58 categories, verified 2026-08-06, including the 276 we found dead, renamed, acquired, or sunsetting. Rankings are editorial, never paid — the charter.
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