Softwr

AI · head to head

LangGraph vs SST

LangGraph logo

LangGraph

AI

Agent runtime and orchestration framework

From
Free
Rated
-
Full reviewWebsite
SST logo

SST

Cloud

Build full-stack apps on your own infrastructure

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: LangGraph steeper learning curve compared to high-level abstractions; SST primarily optimized for AWS with Cloudflare support
  • They diverge on capability: LangGraph covers Human-in-the-loop controls, SST covers Single config file.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which LangGraph and SST actually diverge.

Attributes where LangGraph and SST differ
AttributeLangGraphSST
Pricing modelOpen source and free, with optional managed platformUnknown
PlatformsPython, JavaScript, WebAWS, Cloudflare, Node.js
CategoryAICloud

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in LangGraph

  • Human-in-the-loop controls
  • Customizable workflows
  • Memory management
  • Token-by-token streaming
  • Low-level control
  • Multi-agent support

Only in SST

  • Single config file
  • Resource linking
  • Local development
  • Multi-cloud support
  • Multiple deployment stages
  • VPC tunneling

What people use each for

The jobs each tool is most often brought in to do.

LangGraph

  • Building production AI agents with auditable workflowsnot SST
  • Designing multi-agent systems for complex tasksnot SST
  • Implementing human oversight in autonomous systemsnot SST
  • Creating reliable agentic applications at scalenot SST

SST

  • Deploying Next.js frontends with serverless backendsnot LangGraph
  • Managing databases and storage alongside application codenot LangGraph
  • Creating staging environments for feature testingnot LangGraph

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

LangGraph

  • Steeper learning curve compared to high-level abstractions
  • Requires understanding of graph-based architecture
  • Debugging complex workflows can be challenging
  • Not optimized for simple, one-off use cases

SST

  • Primarily optimized for AWS with Cloudflare support
  • Learning curve for developers unfamiliar with infrastructure concepts
  • Limited documentation for some advanced use cases

Pricing, plan by plan

LangGraph

Free
  • Open SourceFree
    • MIT-licensed framework
    • Self-hosted deployment
    • Full API access
  • LangGraph Platform$35/month
    • Managed hosting
    • Enterprise deployment
    • Integrated tooling

SST

Free

No published plan breakdown. See the SST review.

Which should you pick?

Choose LangGraph if

  • You need human-in-the-loop controls.
  • You want to start without paying.
  • You work on Python, JavaScript, Web.
  • You also want customizable workflows.
LangGraph review

Choose SST if

  • You need single config file.
  • You want to start without paying.
  • You work on AWS, Cloudflare, Node.js.
  • You also want resource linking.
SST review

Questions people ask

Is LangGraph or SST better?
Neither clearly leads. LangGraph starts at Free and SST at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, LangGraph or SST?
LangGraph starts at Free and SST at Free.
Does LangGraph or SST run on more platforms?
LangGraph runs on Python, JavaScript, Web. SST runs on AWS, Cloudflare, Node.js.
Can I use LangGraph for free?
Both have a free tier, so you can try either at no cost before committing.
What is LangGraph best used for?
LangGraph is most often used for building production ai agents with auditable workflows, designing multi-agent systems for complex tasks, implementing human oversight in autonomous systems, creating reliable agentic applications at scale. Of those, building production ai agents with auditable workflows and designing multi-agent systems for complex tasks are not what SST is typically brought in for.
What can LangGraph do that SST cannot?
LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming. SST covers Single config file, Resource linking, Local development, Multi-cloud support.

Answered from the vendors’ own pages

LangGraph: Is LangGraph free to use?

Yes. The core LangGraph framework is MIT-licensed and completely free. You only pay if you use the optional managed LangGraph Platform for hosting.

Source
SST: Is SST free?

Yes, SST is open source and free. You only pay for cloud resources from AWS and other providers.

Source
LangGraph: What programming languages does LangGraph support?

LangGraph provides first-class support for Python and JavaScript, enabling cross-platform agent development.

Source
SST: What cloud providers does SST support?

SST supports over 150 providers through built-in AWS and Cloudflare components, plus Pulumi and Terraform providers.

Source
LangGraph: Can I deploy LangGraph in production?

Yes. LangGraph can be self-hosted on your own infrastructure or deployed through LangGraph Platform with enterprise support and SLA guarantees.

Source
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