Pick Flowise if
developers who will run Node locally or in Docker and already have model keys.
Read the Flowise pageFlowise vs Langflow
Our take
Pick Flowise if developers who will run Node locally or in Docker and already have model keys. Pick Langflow if developers and applied-AI teams who want a visual LangChain-style graph they can still edit as Python. Skip Flowise if people who want a hosted agent studio with a printed Cloud card (Dify, Langflow). Skip Langflow if non-technical ops teams that need Slack/HubSpot glue, or anyone who will not run a local
Best for
Flowise Wire tools to an agent on a node graph
Langflow Prototyping an agent
Free plan
Flowise $0 · apache-2.0 community code. You bring Node ≥18/20, disk, and a model key
Langflow $0 · no license fee (MIT). You run uv pip install langflow or Docker. You pay your own LLM/provider bills
Lowest paid
Flowise Not published by the vendor
Langflow Not published by the vendor
Coding agent
Flowise Agentflow canvas
Langflow Visual agent canvas
Runs where
Flowise Local or hosted
Langflow Local; you host it
Watch out
Flowise The GitHub repo is archived
Langflow You bring the model key
Last checked
Flowise 2026-10-21 · flowiseai.com/pricing
Langflow 2026-10-19 · docs.langflow.org/get-started-installation
Which one, then?
Pick Langflow if
developers and applied-AI teams who want a visual LangChain-style graph they can still edit as Python.
Read the Langflow page