Prostir vs LangGraph: what is actually different?

Officially, LangGraph is positioned around a low-level orchestration framework and runtime for stateful agents. That makes it a good fit when engineers need precise control over state, graph edges, persistence, human-in-the-loop checkpoints, and agent execution. If your team already lives in that builder and only needs the AI step inside an existing operation, it can be the shorter route.

• your team is engineering a custom agent system and wants framework-level control over every transition

Prostir is not trying to be a general workflow canvas or a low-level agent framework. It is a product surface for creators: one agent, skill, or flow with hosted knowledge, tools, auth, users, payments, quotas, and public MCP-ready endpoints. The important output is not only a workflow run; it is a packaged AI surface that can be shared, protected, or sold.

• you want creators to publish a hosted agent, skill, or flow without owning the framework, deployment, billing, and MCP serving layer

The clean split is about the artifact you want at the end. Choose the competitor when the result stays inside your team operations. Choose Prostir when the result is something a customer, buyer, or AI client should reach directly.

• They can sit together: LangGraph can run surrounding automation, while Prostir hosts the agent product that customers and AI clients reach.