Gumloop vs Flowise

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

Gumloop

🟢No Code

AI Agents & Autonomous Workflows

No-code AI workflow builder for automating repetitive business tasks like sales research, content production, and data enrichment.

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Starting Price

Free
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Flowise

🟡Low Code

AI Agent Framework

Open-source visual LLM and agent builder — drag-and-drop canvas on a Node.js/TypeScript stack, with MCP nodes and a managed Flowise Cloud option.

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Starting Price

Free
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Feature Comparison

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FeatureGumloopFlowise
CategoryAI Agents & Autonomous WorkflowsAI Agent Framework
Pricing Plans8 tiers22 tiers
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

  • ✓Best-in-class for AI-heavy automations RevOps and growth teams actually ship
  • ✓Natural-language flow generation drastically cuts time-to-first-automation
  • ✓Templates for sales prospecting and content pipelines work out of the box
  • ✓Multi-LLM nodes mean you can pick the right model for each step
  • ✓No engineering required — non-technical ops folks can own complete workflows

Cons

  • ✗Credit-based pricing gets expensive on data-heavy or high-volume flows
  • ✗Debugging branching logic is clunky compared to code-first tools
  • ✗No self-hosted or VPC deployment — cloud-only
  • ✗Version history and audit trails are weaker than enterprise automation tools
  • ✗Some integrations are shallow wrappers around scraping vs. official APIs

Flowise - Pros & Cons

Pros

  • ✓Truly self-hostable and free — no usage meter on the open-source build
  • ✓Node.js stack means JS/TS teams can extend components without context-switching to Python
  • ✓MCP integration lets you compose existing MCP servers into agent tools visually

Cons

  • ✗Large flows (50+ nodes) get visually unwieldy and slow to navigate
  • ✗Cloud pricing tiers are not openly listed on the marketing site
  • ✗Lags pure-code frameworks on advanced agent patterns (graph state, conditional planning)

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🔒 Security & Compliance Comparison

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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
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