Gumloop vs Langflow

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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Langflow

🟡Low Code

Agent Framework

Low-code visual builder for agentic and RAG applications — drag-and-drop nodes to compose LLMs, vector DBs, tools, and MCP servers into deployable AI apps.

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Starting Price

Free
Full ReviewVisit Site

Feature Comparison

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FeatureGumloopLangflow
CategoryAI Agents & Autonomous WorkflowsAgent 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
  • • 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

  • ✓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

Langflow - Pros & Cons

Pros

  • ✓Visual graphs make model, tool, prompt, and retrieval wiring inspectable
  • ✓Supports OpenAI, Anthropic, Google, Mistral, Groq, Ollama, and others
  • ✓Integrates with Pinecone, Weaviate, Chroma, Milvus, and Astra
  • ✓MCP and REST exposure make flows reusable by other applications

Cons

  • ✗Large visual graphs can become difficult to review and version
  • ✗Production deployments still need authentication, tracing, retries, and scaling
  • ✗Provider integrations may expose different feature depth and upgrade cadence
  • ✗Hosted pricing and support boundaries require manual verification

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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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Review GumloopReview Langflow