How does LangGraph compare with the alternatives?
GitLab, Wayfair and Grab run production agents on LangGraph; CrewAI's named production accounts are its own customer stories, and Pydantic evaluated both and built its own. Pick LangGraph to write every step down with checkpoints, CrewAI for role-based crews with a managed builder.
Named teams run production agents on LangGraph's checkpointed graphs; the Agents SDK leaves durability to Temporal or another engine. Pick LangGraph when your code controls the next step across providers, the Agents SDK when a model-driven loop on OpenAI models covers the work.
LangGraph is a graph runtime for TypeScript agents with checkpointed state, interrupts, and LangSmith Deployment. The AI SDK puts model calls, tool loops, and streaming UI across providers into your own code. Teams often run a LangGraph agent behind AI SDK UI through Vercel's LangChain adapter.
Pick LangGraph for an explicit checkpointed graph with durability modes and interrupts in Python or TypeScript. Pick Mastra for TypeScript agents with memory, evals, and a hosting platform bundled.
