Gumloop vs CrewAI

A detailed comparison to help you choose between Gumloop and CrewAI.

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Verdict: CrewAI wins

CrewAI scores 4.0/5, edging out Gumloop at 3.6/5. Python teams building role-based multi-agent workflows who want an open-source framework today and a governed platform path later.

Gumloop

Gumloop

Build AI agents with no-code workflows and API integrations

CrewAI

CrewAI

Multi-agent AI crews for complex tasks

Rating3.6 (1 review)4.0 (1 review)
Pricing Modelfreemiumfreemium
Starting PriceFree tier availableFree tier available
Best ForTeams that want non-engineers building AI-shaped automations — research, scraping, summarization — under centralized IT control and spend oversight.Python teams building role-based multi-agent workflows who want an open-source framework today and a governed platform path later.
Free Tier
API Access
Team Features
Open Source
Tags
no codefree tier
open sourceapi access
Visit Gumloop →Visit CrewAI →

Gumloop

Pros

  • + Fastest AI-flow building I tested: scrape-summarize-extract agent went up in ~40 minutes, with a model swap as a drop-down change
  • + IT control features are real on Pro (agent-scoped connector policies, shared credentials, usage analytics) and org-wide on Enterprise
  • + Unlimited agents, seats, and teams on Pro from $37/mo — no per-seat tax, unlike most rivals (gumloop.com/pricing)
  • + Hosted scraping node handled a JS-heavy site my plain HTTP attempt failed on
  • + Well funded for its age: $17M Series A (Nexus) and a $50M Series B, with named customers like Shopify and Instacart

Cons

  • - No free plan — 14-day trial only — and the 8% orchestration fee on top of credits makes heavy usage hard to predict
  • - Credit costs vary by node and model; my scrape-heavy flow cost roughly triple the targeted version before I tuned it
  • - Shallow for engineers: no code steps with real package access, no self-hosting (Enterprise VPC only), thin connector breadth versus Zapier/Make
  • - Agent memory is flow-scoped — persistent cross-run context is early despite the self-improving-agent marketing
  • - Pro concurrency caps (5 workflow runs, 25 agent chats) queued my bulk jobs; throughput is not the strong suit yet
View full Gumloopreview →

CrewAI

Pros

  • + Role/goal/backstory abstraction produced clearly differentiated agent behaviour from one underlying model in my three-agent crew test
  • + Export-as-MCP-server worked as documented — the crew came up as a tool server a coding agent could call
  • + Tracing, OpenTelemetry export and Slack-based human-in-the-loop pauses made a recurring workflow operable
  • + The open-source framework installs from PyPI and runs anywhere Python runs; no platform commitment required
  • + Studio's AI copilot generated a working workflow skeleton from a plain-language description

Cons

  • - Free tier is 50 workflow executions/month — a demo allowance, not a working quota
  • - The $25/month Professional tier shown on archived pricing pages is gone; after free there is only a sales conversation
  • - Token burn surprised me: a reviewer loop on a three-agent crew cost far more than a single-agent equivalent
  • - Hierarchical delegation occasionally looped or duplicated work until I tightened task boundaries
  • - SSO, RBAC and PII redaction are Enterprise-gated, so the free tier is unusable for sensitive data
View full CrewAIreview →

Frequently Asked Questions

Which is better, Gumloop or CrewAI?▼
CrewAI scores higher at 4.0/5 vs 3.6/5 for Gumloop, making it the better-rated option in our comparison.
What is the difference between Gumloop and CrewAI?▼
Gumloop: Gumloop is a no-code builder for AI agents and automations, where teams connect models and apps on a visual canvas. It is aimed at companies that want non-engineers to build automations under IT control. CrewAI: CrewAI is a framework and platform for orchestrating multi-agent AI systems, where several agents work as a crew on a shared task.
Is Gumloop or CrewAI more affordable?▼
Gumloop starts at €0/mo, CrewAI starts at €0/mo. Check the comparison table above for current pricing.

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