Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for developers, AI engineers, and product teams who want a visual drag-and-drop builder for LLM workflows and AI agents and are okay evaluating an OSS-plus-commercial-enterprise license model, because Flowise ships an Apache-2.0 base (with a separate commercial license required for the packages/server/src/enterprise SSO / audit / RBAC code path) and lets a non-developer prototype a working
Who should use it
Who should skip it
Skip FlowiseAI/Flowise unless the captured evidence suggests it solves a problem you are actively working on.
About this signal
FlowiseAI/Flowise is tracked by RepoRadar as a developer tool in the Visual AI Agent Builder section. First seen 2026-06-22; the source record was last checked on 2026-06-22. The current verdict is 'worth watch' with a Silver tier and review needed setup difficulty. Across RepoRadar's eight signals, FlowiseAI/Flowise is strongest on workflow potential (7.7) and open-source/build quality (7.4) and weakest on momentum (5.1) — a profile worth weighing against your own priorities. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The FlowiseAI/Flowise record combines a 7.3/10 composite score with separate popularity (53.9), risk (conditional), and setup (review needed) signals. See the scoring methodology for the current weights and evidence definitions.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
Conditional risk: review permissions, runtime environment, and data boundaries before production use.