Flowise AI vs Langflow
Both tools are listed under Open-Source Marketing Agents & Prompts, and both have been fact-checked by a named editor. This page lines up their structured data and quotes each review’s limitations and pricing notes; it does not pick a winner.
Flowise AI
Open-source visual orchestration framework enabling engineering and marketing operations teams to compose multi-agent LLM systems and retrieval pipelines.
Pricing: Custom / enterprise pricing · Autonomy: L3 · Conditional automation · Moat: 3.8/5.0 (Proprietary moat)
Target fit: B2B SaaS, Creators / Solo (Open Source Repo)
Langflow
Open-source visual framework and orchestration engine for building, prototyping, and deploying multi-agent AI systems, MCP servers, and RAG pipelines.
Pricing: Custom / enterprise pricing · Autonomy: L3 · Conditional automation · Moat: 3.6/5.0 (Proprietary moat)
Target fit: B2B SaaS (Open Source Repo)
How Flowise AI and Langflow differ
- Langflow was founded earlier (2020) than Flowise AI (2023).
- Headquarters: Flowise AI in San Francisco, California, Langflow in Uberlândia, Minas Gerais.
Computed from the fields below. Only editor-verified ratings and vendor-sourced prices are compared.
Side-by-side facts
| Field | Flowise AI | Langflow |
|---|---|---|
| Subtrack | Open-Source Marketing Agents & Prompts | Open-Source Marketing Agents & Prompts |
| Pricing | Custom / enterprise pricing | Custom / enterprise pricing |
| Pricing model | Enterprise / quote | Enterprise / quote |
| Free access | No free plan disclosed | No free plan disclosed |
| Enterprise plan | Yes | Yes |
| AI autonomy level | L3 · Conditional automation | L3 · Conditional automation |
| Moat tier | Proprietary moat | Proprietary moat |
| Delivery | Open Source Repo | Open Source Repo |
| Audience | B2B SaaS, Creators / Solo | B2B SaaS |
| Headquarters | San Francisco, California | Uberlândia, Minas Gerais |
| Fact-checked | Tim Fenolz, Oct 11, 2026 | Julie Brot, Oct 14, 2026 |
Flowise AI vs Langflow: TCO & constraint stress test
Test how both tools behave under your team size, monthly budget ceiling, CRM ecosystem, and governance guardrails.
Flowise AI
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Flowise AI does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
- Sales-Gated Contract Terms: Flowise maintains an open-source core distributed under commercial-permissive licensing for self-hosted instances.
- Primary Operational Bottleneck: Memory and State Drift: Complex multi-step graph traversals suffer from context degradation and token bloat during prolonged conversational sessions without aggressive token-trimming configurations.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Flowise AI requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Flowise AI order form before signing a 12-month enterprise commitment.
Langflow
High Deal-Risk · Constraint Mismatch- Opaque Enterprise Quoting vs. SMB/Mid-Market Budget: Langflow does not disclose a public self-serve floor (Custom / enterprise pricing). Buyers with a $800/mo cap face high sales-qualification friction.
- Sales-Gated Contract Terms: Langflow is distributed as an open-source software project that engineering teams can self-host and modify freely.
- Primary Operational Bottleneck: Memory and State Serialization: Complex multi-agent graphs with cyclical logic risk state drift and high memory consumption when caching intermediate conversational payloads across stateless container environments.
Walk-Away Rule: Walk away if you require transparent self-serve monthly billing or your budget ceiling is under $1,000/mo (Langflow requires sales-gated custom quoting).
Negotiation Lever: Demand a 30- to 60-day paid pilot opt-out clause in the Langflow order form before signing a 12-month enterprise commitment.
Limitations
Flowise AI
Operational considerations and platform boundaries include: Memory and State Drift: Complex multi-step graph traversals suffer from context degradation and token bloat during prolonged conversational sessions without aggressive token-trimming configurations.Full limitations in the Flowise AI review
Langflow
Operational considerations and platform boundaries include: Memory and State Serialization: Complex multi-agent graphs with cyclical logic risk state drift and high memory consumption when caching intermediate conversational payloads across stateless container environments.Full limitations in the Langflow review
Pricing notes
Flowise AI: Custom / enterprise pricing
Flowise maintains an open-source core distributed under commercial-permissive licensing for self-hosted instances. For managed deployments and dedicated infrastructure, commercial pricing is available on request through tailored enterprise sales quotes based on organizational scale and seats.Pricing details in the Flowise AI review
Langflow: Custom / enterprise pricing
Langflow is distributed as an open-source software project that engineering teams can self-host and modify freely.Pricing details in the Langflow review
Frequently asked questions: Flowise AI vs Langflow
How does Flowise AI pricing compare to Langflow in 2026?
Flowise AI is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed), whereas Langflow is listed at Custom / enterprise pricing (enterprise / quote, no free plan disclosed).
How do Flowise AI and Langflow compare on AI autonomy and moat depth?
On the MarTechRadar L1–L5 scale, Flowise AI is rated L3 · Conditional automation with a Proprietary moat moat (3.8/5.0), while Langflow is rated L3 · Conditional automation with a Proprietary moat moat (3.6/5.0).
Which teams are Flowise AI and Langflow built for?
Flowise AI is a Open Source Repo product in Open-Source Marketing Agents & Prompts designed for B2B SaaS, Creators / Solo. Langflow is a Open Source Repo product in Open-Source Marketing Agents & Prompts designed for B2B SaaS.
What are the main limitations of Flowise AI vs Langflow?
For Flowise AI: Operational considerations and platform boundaries include: Memory and State Drift: Complex multi-step graph traversals suffer from context degradation and token bloat during prolonged conversational sessions without aggressive token-trimming configurations. For Langflow: Operational considerations and platform boundaries include: Memory and State Serialization: Complex multi-agent graphs with cyclical logic risk state drift and high memory consumption when caching intermediate conversational payloads across stateless container environments.
Excerpts are quoted verbatim from each fact-checked review. Last updated Oct 14, 2026.