Loading tool details…
Compare listed plans and check current offer terms with LangGraph
The catalog lists this free option; confirm its current limits and eligibility with LangGraph
💡 Pro tip: Start with the free tier to test if LangGraph fits your workflow before upgrading to a paid plan.
per month
per month
This guide does not establish that LangGraph has an active coupon, education discount, or seasonal promotion. Confirm current offers on the vendor's website before paying.
If LangGraph's pricing doesn't fit your budget, consider these ai agent framework alternatives:
Microsoft's open-source framework for building multi-agent AI systems with asynchronous, event-driven architecture.
Free tier available
✓ Free plan available
Leading multi-agent framework and platform for building, deploying, and monitoring collaborative AI agent teams.
Free tier available
✓ Free plan available
Durable execution platform for AI agents and workflows — used by Netflix, Snap, and Stripe for reliability-critical systems.
Free tier available
✓ Free plan available
LangChain is a general-purpose framework for building LLM applications and provides abstractions for prompts, models, tools, and chains. LangGraph is a separate library built on top of LangChain's primitives that adds graph-based workflow orchestration, persistent state, and deterministic control flow specifically for building AI agents. You can use LangGraph without LangChain, but they integrate deeply when used together.
Yes, LangGraph is open source (MIT licensed) and free to self-host. The commercial LangGraph Platform — which provides managed deployment, autoscaling, and LangGraph Studio — offers a free Developer tier, a Plus tier starting at $20/month plus usage, and custom Enterprise pricing for large-scale deployments.
Yes. LangGraph supports multiple multi-agent patterns including supervisor architectures (a router agent dispatches to specialist subagents), hierarchical topologies (nested subgraphs), and swarm patterns. Subgraphs can be composed and reused, and agents can share state or communicate through message-passing.
Yes. Human-in-the-loop is a first-class primitive. You can configure interrupts at any node so the agent pauses, persists its state to a checkpointer, and resumes only after a human provides approval, edits the state, or supplies additional input.
LangGraph has official SDKs in Python (langgraph) and JavaScript/TypeScript (@langchain/langgraph). Both expose the same core concepts — StateGraph, nodes, edges, checkpointers — and produce functionally equivalent agent behaviors, allowing full-stack teams to share architectural patterns across backend and frontend.
Start with the free tier and upgrade when you need more features
Get Started with LangGraph →Listed prices may change. Confirm current prices and offer terms with the vendor.