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AI · head to head

LangGraph vs Zeabur

LangGraph logo

LangGraph

AI

Agent runtime and orchestration framework

From
Free
Rated
-
Full reviewWebsite
Zeabur logo

Zeabur

Cloud

AI-powered cloud deployment platform for developers

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: LangGraph steeper learning curve compared to high-level abstractions; Zeabur free plan limited to single server with 48-hour log retention
  • They diverge on capability: LangGraph covers Human-in-the-loop controls, Zeabur covers AI Agent.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which LangGraph and Zeabur actually diverge.

Attributes where LangGraph and Zeabur differ
AttributeLangGraphZeabur
Pricing modelOpen source and free, with optional managed platformFixed monthly plans
PlatformsPython, JavaScript, WebWeb, CLI
CategoryAICloud
FoundedUnknown2025

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 Zeabur

  • AI Agent
  • Managed Servers
  • Domain and DNS Management
  • Email Service
  • AI Hub
  • Deploy Templates
  • Git Integration

What people use each for

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

LangGraph

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

Zeabur

  • Deploying full-stack web applications without DevOps expertisenot LangGraph
  • Building AI agent infrastructure with integrated API accessnot LangGraph
  • Managing multi-region deployments with automated scalingnot LangGraph
  • Running containerized services with built-in domain and emailnot 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

Zeabur

  • Free plan limited to single server with 48-hour log retention
  • Small team size may limit support and feature velocity
  • Building spec upgrades limited on lower tiers
  • Enterprise support not clearly documented

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

Zeabur

Free
  • FreeFree
    • 1 manageable server
    • 2C4G build specs
    • 48-hour log retention
  • Dev$5/month
    • 3 manageable servers
    • 7-day log retention
    • 250 MB file uploads
  • Pro$19/month
    • 10 manageable servers
    • 4C8G build specs
    • 30-day log retention
  • Team$79/month
    • 3 included seats
    • Unlimited manageable servers
    • 90-day log retention

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 Zeabur if

  • You need ai agent.
  • You want to start without paying.
  • You work on Web, CLI.
  • You also want managed servers.
Zeabur review

Questions people ask

Is LangGraph or Zeabur better?
Neither clearly leads. LangGraph starts at Free and Zeabur at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, LangGraph or Zeabur?
LangGraph starts at Free and Zeabur at Free.
Does LangGraph or Zeabur run on more platforms?
LangGraph runs on Python, JavaScript, Web. Zeabur runs on Web, CLI.
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 Zeabur is typically brought in for.
What can LangGraph do that Zeabur cannot?
LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming. Zeabur covers AI Agent, Managed Servers, Domain and DNS Management, Email Service.

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
Zeabur: What is included in the free plan?

The free plan includes 1 manageable server, 2C4G build specifications, 48-hour log retention, 50 MB file upload limit, and community support.

Source
LangGraph: What programming languages does LangGraph support?

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

Source
Zeabur: How do additional seats work on the Team plan?

The Team plan includes 3 seats with additional seats available at $24 per seat per month.

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
Zeabur: Is there a free trial period?

The Dev and Pro plans include 14 days free before billing begins.

Source
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