LangGraph

LangGraph

Freemium

Build stateful, multi-agent systems as controllable graphs.

Agentic AI
Agent Frameworks

Published 27 September 2026

Scores

Popularity4/5

A rapidly growing, heavily starred project that has become the execution substrate under LangChain's own agent API, though narrower in direct adoption than the broader LangChain library.

Learning Curve4/5

The graph, typed-state, and checkpointer model is powerful but deliberately low-level, so getting a non-trivial multi-agent graph right takes meaningfully more effort than a batteries-included framework.

Flexibility5/5

Nodes, conditional edges, cycles, and pluggable checkpointers can express essentially any agent control flow, from simple loops to complex multi-agent handoffs.

Performance4/5

Durable execution, persistent state, and horizontally scaling queues on the platform are built for production-grade, long-running agent workloads rather than just prototypes.

Portability5/5

MIT-licensed with Python and JavaScript SDKs and no usage limits, self-hostable and provider-agnostic, so the core runtime carries no lock-in.

About LangGraph

LangGraph is a low-level orchestration framework from LangChain, Inc. for building stateful, controllable agents. Where a simple chain runs top to bottom, LangGraph models an agent's control flow as a StateGraph — nodes connected by direct and conditional edges, with cyclic execution, branching, and a typed state object that flows through every step. A checkpointer persists that state between steps, which is what enables durable execution, retries, human-in-the-loop pauses, and time-travel debugging of past runs.

This is the layer production teams reach for once an agent's logic stops being a straight line — multi-agent handoffs, loops, long-running workflows, and interventions that need to survive process restarts. As of late 2025, LangChain's own high-level create_agent API runs on top of LangGraph's execution engine, so LangGraph increasingly functions as the substrate beneath LangChain rather than a competing choice; it is equally usable standalone by teams who want the graph and state primitives without LangChain's higher-level abstractions. It ships as both a Python and a JavaScript/TypeScript library.

The core library is MIT-licensed and free, with no usage limits. LangChain also offers the LangGraph Platform, a managed runtime that adds a deployment server, one-click deploys, horizontally scaling task queues, and LangGraph Studio for visual debugging — priced separately for teams that want hosted, durable agent infrastructure rather than self-hosting the open-source runtime.

Key Features

  • StateGraph model: nodes and edges with cyclic execution and conditional branching
  • Durable execution via checkpointers that persist typed state between every step
  • Human-in-the-loop pauses, retries, and time-travel debugging of past runs
  • Runs the execution engine beneath LangChain's own create_agent API
  • Python and JavaScript/TypeScript libraries, MIT-licensed with no usage limits
  • Optional LangGraph Platform: managed server, scaling queues, and LangGraph Studio

Pros

  • Fine-grained control over agent control flow that linear chains cannot express
  • Durable, checkpointed state makes long-running and human-in-the-loop agents production-viable
  • Free and MIT-licensed core with no usage restrictions
  • Backed by LangChain and increasingly the standard execution layer under it

Cons

  • Lower-level and more verbose than higher-level frameworks — more to learn upfront
  • Graph, state, and checkpointer concepts add real conceptual overhead for simple agents
  • Managed LangGraph Platform is a separate paid product for hosted deployment
  • Naming overlaps with visual orchestration tools despite being a code-first SDK

LangGraph Pricing

Freemium
Open SourceFree
  • · Free, MIT-licensed Python and JavaScript library with no usage limits
  • · Full StateGraph, checkpointing, and durable-execution primitives, self-hosted
LangGraph PlatformContact sales
  • · Managed runtime: deployment server, one-click deploys, scaling task queues, LangGraph Studio
  • · Usage-based pricing with a free developer allowance, plus enterprise self-hosting options

Tools Related to LangGraph

Works well with LangGraph(1)

LangGraph is the low-level orchestration runtime beneath LangChain — since late 2025 LangChain's own create_agent runs on LangGraph, so the two are designed to be used together rather than chosen between.

Alternatives to LangGraph(3)

Both build multi-agent systems — CrewAI with a high-level role/task model, LangGraph with a low-level state-graph runtime. Competing approaches to orchestrating agents.

Both frameworks let developers hand-build multi-step agent workflows with explicit control flow — LangGraph as a Python state-graph runtime, Mastra as a typed TypeScript workflow engine.

Both are code-first Python agent frameworks; LangGraph focuses on graph-based orchestration, Pydantic AI on type-safe validation. Competing choices for building agents in code.

Learning Resources

No resources yet — check back soon.

Vendor

Tags

PythonTypeScriptOpen SourceSelf-hostableAI-poweredWorkflow Automation

Details

Maintained
Yes
Agent type
Framework
Primary language
Python
Open source
Yes
Hosting
Self-hosted
GitHub stars
42.2k
Stars updated
2026-09-23