Head to head
LangGraph Platform vs OpenAI Agents SDK
A side-by-side, sourced comparison. Facts come from each vendor’s own materials; scores are our editorial opinion applied by the same rubric to both.
| Dimension | ||
|---|---|---|
| Pricing | Framework is free (MIT). Managed: Developer $0/seat (up to 5k base traces/mo), Plus $39/seat/mo, Enterprise custom; usage add-ons include deployment runs at $0.005/run.source ↗ | The SDK is free and open source (MIT); you pay OpenAI (or the chosen provider's) API/token costs.source ↗ |
| Hosting model | Open-source framework self-hosted on your own infra; managed cloud deployment available; self-hosted and hybrid deployment gated to the Enterprise tier.source ↗ | A self-deployed library (Python, with a TypeScript version too) that runs in your own process and infrastructure.source ↗ |
| Memory & state | Durable execution across restarts and cold starts, persistent checkpoints (payloads up to 25 MB), and semantic search for long-term memory, with per-subagent state isolation via threads.source ↗ | Sessions provide automatic conversation-history management across agent runs — a persistent working-context layer.source ↗ |
| MCP support | Nativesource ↗ | Nativesource ↗ |
| Integrations | Docs cite 1000+ integrations; tools are consumed as built-ins plus remote (HTTP) and local MCP servers via langchain-mcp-adapters.source ↗ | Built-in tools (web search, file search, computer use via the Responses API), function tools, MCP servers, agent handoffs, and tracing/observability.source ↗ |
| Model providers | Many via langchain-<provider> packages: OpenAI, Anthropic, Google (Vertex + GenAI), AWS, Ollama, Groq, Azure AI, Mistral, xAI, Cohere, DeepSeek, and more.source ↗ | OpenAI-first (uses the Responses API by default for OpenAI models) but provider-agnostic — supports 100+ other LLMs via LiteLLM and any-llm adapters.source ↗ |
| Open source | Yessource ↗ | Yessource ↗ |
| Developer experience(opinion) | 4/5 | 4/5 |
| Pricing transparency & value(opinion) | 3/5 | 5/5 |
| Scalability(opinion) | 5/5 | 3/5 |
| Memory & state(opinion) | 5/5 | 3/5 |
| Integrations(opinion) | 5/5 | 4/5 |
| MCP nativeness(opinion) | 4/5 | 4/5 |
The balanced view
Editorial opinion, derived from the scorecard above
Where LangGraph Platform scores higher
In our rubric, LangGraph Platform rates ahead on scalability, memory & state, integrations.
Where OpenAI Agents SDK scores higher
In our rubric, OpenAI Agents SDK rates ahead on pricing transparency & value.
These two serve different needs — read the full dossiers for LangGraph Platform and OpenAI Agents SDK before deciding. Neither has been hands-on tested by us yet.
Product and company names are trademarks of their respective owners and are used here only to identify the products under discussion.