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AI · head to head

LangGraph vs Gumloop

LangGraph logo

LangGraph

AI

Agent runtime and orchestration framework

From
Free
Rated
-
Gumloop logo

Gumloop

AI

AI infrastructure platform for building and deploying autonomous agents

From
Free
Rated
-

The short version

  • Each has a real cost: LangGraph steeper learning curve compared to high-level abstractions; Gumloop pro plan at $37/month may be limiting for enterprises considering spending caps
  • They diverge on capability: LangGraph covers Human-in-the-loop controls, Gumloop covers No-code agent builder.

Where they differ

Only the attributes on which LangGraph and Gumloop actually diverge.

Attributes where LangGraph and Gumloop differ
AttributeLangGraphGumloop
Pricing modelOpen source and free, with optional managed platformTiered subscription with usage credits
PlatformsPython, JavaScript, WebWeb, Slack, Microsoft Teams, Gmail

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

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 Gumloop

  • No-code agent builder
  • 300+ app integrations
  • Company Brain
  • Self-improving agents
  • Multi-channel deployment
  • Role-based access
  • Budget controls
  • Audit logging

What people use each for

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

LangGraph

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

Gumloop

  • CRM management and sales pipeline analysisnot LangGraph
  • Lead qualification and sales outreach automationnot LangGraph
  • Meeting preparation and call analysisnot LangGraph
  • Data analysis and automated reportingnot LangGraph
  • Content creation and knowledge base updatesnot 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

Gumloop

  • Pro plan at $37/month may be limiting for enterprises considering spending caps
  • Requires enterprise plan for advanced security controls needed by large organizations
  • No permanent free tier beyond 14-day trial
  • Company Brain integration depends on having all tools connected

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

Gumloop

Free
  • Free TrialFree
    • 14-day free trial of Pro plan
  • Enterprise$undefined/custom
    • Custom credit allocation
    • 35+ models plus custom proxy
    • Org-wide security controls

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.

Choose Gumloop if

  • You need no-code agent builder.
  • You want to start without paying.
  • You work on Web, Slack, Microsoft Teams, Gmail.
  • You also want 300+ app integrations.

Questions people ask

Is LangGraph or Gumloop better?
Neither clearly leads. LangGraph starts at Free and Gumloop at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, LangGraph or Gumloop?
LangGraph starts at Free and Gumloop at Free.
Does LangGraph or Gumloop run on more platforms?
LangGraph runs on Python, JavaScript, Web. Gumloop runs on Web, Slack, Microsoft Teams, Gmail.
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 Gumloop is typically brought in for.
What can LangGraph do that Gumloop cannot?
LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming. Gumloop covers No-code agent builder, 300+ app integrations, Company Brain, Self-improving agents.

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
Gumloop: Can non-technical users build agents with Gumloop?

Yes, Gumloop is designed for domain experts without programming skills. The no-code interface enables anyone who understands a task to automate it without coding.

Source
LangGraph: What programming languages does LangGraph support?

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

Source
Gumloop: How many applications can Gumloop integrate with?

Gumloop integrates with 300+ business tools including Salesforce, HubSpot, Slack, Gmail, GitHub, Jira, and others. The Company Brain feature unifies data from all connected applications.

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
Gumloop: What security features does Enterprise include?

Enterprise plans offer SCIM and SAML support, SOC 2 Type II compliance, custom MCP server hosting, advanced admin features, audit logging, and VPC deployments for data isolation.

Source
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