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DATASHEET // LANGGRAPH

LangGraph

Stateful, cyclic agent graphs for production.

FREEMIUMCPU-CAPABLELocal or cloud
Actually FreeNo SignupOpen SourceWatermark-FreeAPI
Visit LangGraphUPDATED 2026-05-20 · DIRECT LINK
github.com/langchain-ai/langgraph
LangGraph — preview image

HARDWARE REQUIREMENTS //

Local or cloud · No GPU

CPU-CAPABLE
Min VRAM
None
Rec. VRAM
None
Min RAM
8 GB
Rec. RAM
16 GB
Disk
2 GB
GPU class
No GPU
Apple Silicon ✓CPU-Capable

Pure runtime orchestration; no GPU. Backend can be any LLM.

[ EDITORIAL PICK ]

Why we recommend LangGraph

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if LangGraph the company changes direction.

  • CPU-capable

    Doesn't require a dedicated GPU — useful on laptops and headless servers.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • Top-tier pick

    Power-user score 90/100 — consistently rated highly by people who use this every day, not just benchmark chasers.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Easy

    Runs CPU-only — no CUDA / driver gymnastics required.

  • Hardware comfort
    Runs anywhere

    No dedicated GPU required.

  • Ecosystem
    Strong devkit

    Open-source AND ships an API — easy to integrate, possible to host yourself.

  • Verification
    Recent

    Catalogue entry last updated 57 days ago — re-verification due soon.

[ MORE IN THIS NICHE ]

Other agent frameworks tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of LangGraph.

What is LangGraph?

LangGraph is LangChain's answer to "agents are actually state machines." You define nodes (LLM calls, tool calls) and edges (transitions), and the framework gives you persistence, time-travel debugging, and human-in-the-loop interrupts. The serious choice if you're putting agents in production.

Pros & cons

✓ PROS

  • First-class state, persistence, and time-travel debugging
  • Cycles allowed — real agent loops, not just DAGs
  • Streaming, checkpointing, and human-in-the-loop built in
  • Both Python and TypeScript versions

– CONS

  • Steeper learning curve than CrewAI for first-time users
  • Inherits LangChain's reputation for API churn

What's actually free?

OSS Python/JS library free. LangGraph Platform offers paid hosted deployment.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

CrewAI

Role-playing agents working as a crew.

FREEMIUMCPU-CAPABLE

AutoGen

Microsoft's multi-agent conversation framework.

OPEN SOURCECPU-CAPABLE