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Gumloop vs LangGraph

A side-by-side comparison of two ai agents tools — pricing, integrations, and the trade-offs that matter — so you can pick the right fit fast.

Gumloop compared with LangGraph
FeatureGumloopLangGraph
CategoryAI AgentsAI Agents
PricingFreemium · from Free / $97/moFreemium · from Free
Best forFounders, Marketers, Product ManagersDevelopers
Use casesautomating business workflows, building AI agents, scraping and enrichmentBuilding stateful, multi-step agent applications, Designing complex agent logic with branching and loops, Creating production-grade controllable AI agents
IntegrationsGoogle Sheets, Slack, OpenAILangChain, OpenAI API, Anthropic API
Rating
WebsiteVisit GumloopVisit LangGraph

Gumloop

No-code platform for building AI automations.

Pros

  • +No-code visual builder
  • +Good for AI-heavy workflows
  • +Reusable templates
  • +Team collaboration

Cons

  • Pricing climbs with usage
  • Newer ecosystem
  • Fewer integrations than incumbents

LangGraph

Framework for building stateful, multi-agent AI workflows with LangChain.

Pros

  • +Graph-based structure makes complex agent logic easier to control
  • +Supports persistent state across multi-step workflows
  • +Backed by the widely adopted LangChain ecosystem

Cons

  • Requires familiarity with graph-based programming concepts
  • Steeper learning curve than simpler linear agent frameworks

Gumloop vs LangGraph FAQ

Is Gumloop better than LangGraph?
Neither is universally better — both are ai agents tools. Gumloop (Freemium, from Free / $97/mo) is a strong fit for automating business workflows, while LangGraph (Freemium, from Free) suits Building stateful, multi-step agent applications. Pick by your primary use-case and budget.
What is the main difference between Gumloop and LangGraph?
Gumloop focuses on "No-code platform for building AI automations." whereas LangGraph focuses on "Framework for building stateful, multi-agent AI workflows with LangChain.". Their pricing starts at Free / $97/mo and Free respectively.

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