Gumloop vs Langflow

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.

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Starting Price

Free
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Langflow

🟡Low Code

Visual AI agent builder

An open-source visual framework for building and deploying AI agents, retrieval flows, and Model Context Protocol services.

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Starting Price

Free
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Feature Comparison

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FeatureGumloopLangflow
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
  • • Low-code visual builder for agentic and RAG applications
  • • Build and deploy AI agents and MCP servers
  • • Supports major LLMs, vector databases, and AI tools

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

Langflow - Pros & Cons

Pros

  • ✓Open-source visual canvas supports inspection and self-hosted experimentation
  • ✓Python extensibility lets developers move beyond stock components
  • ✓MCP client and server capabilities fit modern agent-tool architectures

Cons

  • ✗Visual building does not remove the need for evaluation and production engineering
  • ✗Model, vector database, and hosting charges sit outside the free software price
  • ✗Large graphs require disciplined testing, version control, and observability

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🔒 Security & Compliance Comparison

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Security FeatureGumloopLangflow
SOC2✅ Yes—
GDPR✅ Yes—
HIPAA❌ No—
SSO——
Self-Hosted✅ Yes✅ Yes
On-Prem—✅ Yes
RBAC——
Audit Log——
Open Source❌ No✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest——
Encryption in Transit——
Data Residency——
Data Retention—configurable
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