Flowise vs Langflow
Short answer
Flowise: Drag-and-drop builder for LLM agents and chatflows (archived August 2026). Langflow: Visual builder for AI agents and RAG flows that you can deploy as APIs or MCP servers. Both are in our AI app & agent builders category.
Flowise's repository is archived, so it gets no updates or security fixes. For a new deployment, Langflow is the maintained option; Flowise only makes sense if you already run it.
Choose Langflow if you want: fewer license conditions (Permissive vs Open core), an actively maintained project (Flowise is archived), larger community (156k vs 55.5k GitHub stars) and simpler deploy (one container vs a multi-container stack).
Flowise publishes no official RAM figure, so we cannot compare hosting cost directly.
Last updated · computed from each project's official docs and live GitHub data · sources
Flowise vs Langflow side by side
| Flowise | Langflow | |
|---|---|---|
| Category | AI app & agent builders | AI app & agent builders |
| What it is | Drag-and-drop builder for LLM agents and chatflows (archived August 2026). | Visual builder for AI agents and RAG flows that you can deploy as APIs or MCP servers. |
| License | Apache-2.0 (enterprise directory under a commercial license) | MIT |
| License type | Open core | Permissive |
| License conditions | Most of the code is Apache-2.0. Code under packages/server/src/enterprise and files with explicit copyright notices are under a separate commercial license. | Permissive. Internal and commercial use allowed; keep the copyright notice. |
| Status | Archived | Active |
| GitHub stars | 55.5k | 156k |
| Last commit | Aug 13, 2026 | Oct 21, 2026 |
| Latest release | flowise@3.1.4 | v1.12.7 |
| Minimum hardware | Not published | 1 vCPU · 1.5 GB RAM |
| Recommended hardware | Not published | 2 vCPU · 4 GB RAM |
| RAM measured by us | Not tested yet | 1.2 GiB idle, 1.3 GiB working (our test, v1.12.7, Oct 22, 2026) |
| GPU | Not required / not stated | Not required / not stated |
| Est. server cost | Not estimated | from €11.99/mo (recommended spec: €19.99/mo) |
| Deploy method | npm or Docker Compose | Docker |
| Known gotchas | 3 listed | 2 listed |
| Telemetry | Not documented | On by default |
| Calls home by default | Not documented | Not documented |
| SSO (OIDC / SAML / LDAP) | Paid / enterprise only (OIDC paid) | Free (OIDC free) |
| Audit log | Not documented | Yes, free |
| RBAC | Paid / enterprise only | No |
| Details | Full Flowise guide → | Full Langflow guide → |
Key differences
- License: Flowise: Apache-2.0 (enterprise directory under a commercial license) (Open core). Langflow: MIT (Permissive).
- Official hardware: Flowise: not published. Langflow: minimum 1 vCPU · 1.5 GB RAM (recommended 2 vCPU · 4 GB RAM).
- Est. server cost: Flowise: not estimated (no official RAM figure). Langflow: from €11.99/mo.
- Deploy: Flowise: npm or Docker Compose · multi-container stack. Langflow: Docker · single container.
- Status: Flowise: Archived. Langflow: Active.
- GitHub stars: Flowise: 55.5k. Langflow: 156k.
- Last commit: Flowise: Aug 13, 2026. Langflow: Oct 21, 2026.
- Latest release: Flowise: flowise@3.1.4 (Jul 29, 2026). Langflow: v1.12.7 (Oct 21, 2026).
Same for both: Category: AI app & agent builders; GPU: not required or not stated.
Flowise vs Langflow: FAQ
Flowise or Langflow: which should a small business choose?
Flowise's repository is archived, so it gets no updates or security fixes. For a new deployment, Langflow is the maintained option; Flowise only makes sense if you already run it. Choose Langflow if you want: fewer license conditions (Permissive vs Open core), an actively maintained project (Flowise is archived), larger community (156k vs 55.5k GitHub stars) and simpler deploy (one container vs a multi-container stack). Flowise publishes no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, Flowise or Langflow?
Flowise: not estimated (no official RAM figure). Langflow: from €11.99/mo. Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do Flowise and Langflow need?
Flowise: not published. Langflow: minimum 1 vCPU · 1.5 GB RAM (recommended 2 vCPU · 4 GB RAM).
What is the license difference between Flowise and Langflow?
Flowise: Apache-2.0 (enterprise directory under a commercial license) (Open core). Most of the code is Apache-2.0. Code under packages/server/src/enterprise and files with explicit copyright notices are under a separate commercial license. Langflow: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the copyright notice. This is a summary, not legal advice.
Is Flowise or Langflow more actively maintained?
Flowise: Archived, last commit Aug 13, 2026. Langflow: Active, last commit Oct 21, 2026. GitHub data refreshed Oct 22, 2026.
Which is easier to deploy, Flowise or Langflow?
Flowise installs via npm or Docker Compose (multi-container stack); Langflow via Docker (single container). Flowise lists 3 known gotchas and Langflow lists 2; see each app page.
Related
- Flowise self-hosting guide · Langflow self-hosting guide
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Sources
- Flowise GitHub repository: github.com/FlowiseAI/Flowise
- Flowise documentation, Flowise hardware requirements, Flowise deploy instructions: github.com/FlowiseAI/Flowise#readme
- Flowise license: github.com/FlowiseAI/Flowise/blob/main/LICENSE.md
- Langflow GitHub repository: github.com/langflow-ai/langflow
- Langflow documentation, Langflow deploy instructions: docs.langflow.org/deployment-docker
- Langflow license: github.com/langflow-ai/langflow/blob/main/LICENSE
- Langflow hardware requirements: docs.langflow.org/deployment-prod-best-practices
- Hetzner Cloud pricing used for cost estimates (read 2026-10-22): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.