Gumloop vs Flowise

Detailed side-by-side comparison to help you choose the right tool

Gumloop

🟢No Code

AI Automation

Gumloop is a collaborative visual platform for building and governing AI agents and automations with multiple models, shared credentials, and MCP support.

Was this helpful?

Starting Price

Free
Full ReviewVisit Site

Flowise

🟡Low Code

Visual AI agent builder

An open-source visual platform for composing LLM workflows, retrieval pipelines, and AI agents from modular nodes.

Was this helpful?

Starting Price

Free
Full ReviewVisit Site

Feature Comparison

Scroll horizontally to compare details.

FeatureGumloopFlowise
CategoryAI AutomationVisual AI agent builder
Pricing Plans3 listed plans2 listed plans
Starting PriceFreeFree
Key Features
  • • Visual AI automation framework for flows, agents, triggers, and app-connected work
  • • Prebuilt agent examples for data analysis, support triage, CRM work, meeting prep, and call analysis
  • • Free plan with 5k credits/month, one seat, one active trigger, and unlimited agents/flows
  • • Visual node-based builder for AI agents and chatflows
  • • Agentflow multi-agent orchestration
  • • Chat assistants with RAG and tool calling

Gumloop - Pros & Cons

Pros

  • ✓Unlimited seats and agents reduce per-user friction for cross-functional collaboration
  • ✓Pricing page clearly explains credits, orchestration fees, overages, and BYOK behavior
  • ✓Supports 35+ models and combines visual building with CLI and GitHub-oriented features
  • ✓Can host a custom MCP server and proxy MCP servers without separate infrastructure

Cons

  • ✗Unused monthly credits do not roll over, reducing value for teams with uneven demand
  • ✗Agents stop after included credits are exhausted unless pay-as-you-go is explicitly enabled
  • ✗Bringing model-provider API keys increases the orchestration fee from 8% to 16%
  • ✗RBAC, SCIM/SAML, audit logs, custom retention, and VPC deployment require custom Enterprise pricing

Flowise - Pros & Cons

Pros

  • ✓Open-source core supports self-hosting and source-level customization
  • ✓Visual nodes make agent and retrieval flow structure easier to inspect
  • ✓Broad model, vector-store, API, and deployment options support varied prototypes

Cons

  • ✗Production deployments still require engineering, monitoring, and security work
  • ✗Cloud plan prices and limits could not be verified from readable vendor HTML in this run
  • ✗Complex flows can become difficult to test and govern without naming and versioning discipline

Not sure which to pick?

🎯 Take our quiz →

🔒 Security & Compliance Comparison

Scroll horizontally to compare details.

Security FeatureGumloopFlowise
SOC2✅ Yes—
GDPR✅ Yes—
HIPAA❌ No—
SSO——
Self-Hosted✅ Yes✅ Yes
On-Prem—✅ Yes
RBAC—✅ Yes
Audit Log——
Open Source❌ No✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest——
Encryption in Transit—✅ Yes
Data Residency—self-hosted deployments allow user-controlled data residency
Data Retention—configurable
🦞

New to AI tools?

Read practical guides for choosing and using AI tools

Read Guides →
🔔

Price Drop Alerts

Get notified when AI tools lower their prices

Tracking 2 tools

We only email when prices actually change. No spam, ever.

Get weekly AI agent tool insights

Comparisons, new tool launches, and expert recommendations delivered to your inbox.

No spam. Unsubscribe anytime.

Ready to Choose?

Read the full reviews to make an informed decision

Review GumloopReview Flowise