Flowise
by Flowise · Visual builder for AI agents and LLM chatflows
BenchRank score
Screenshots of Flowise
Homepage
Overview
Flowise is an open source platform for building AI agents and chatbots in a visual editor. Chatflow covers single agents with tool calling and retrieval from various data sources; Agentflow orchestrates multiple coordinated agents and supports human review of agent tasks. Flows are consumed via API, SDK or an embedded chat widget, self-hosted or in the cloud.
- Best for
- Teams building LLM chatbots and multi-agent workflows visually, self-hosted or in the cloud.
- Pricing
- Free tier, then $35/month (Starter) or $65/month (Pro, 5 users included plus $15/user/month), with the open source project self-hostable.
- Runs on
- WebSelf-hostedCLI
Strengths and trade-offs
Strengths
- Open source; installs via npm and runs on-prem or in the cloud
- Visual builder for single-agent chatflows and multi-agent flows
- APIs, TypeScript/Python SDKs and an embeddable chat widget
- Execution traces with Prometheus and OpenTelemetry support
Trade-offs
- The site states Flowise is being sunset
- Free tier caps 100 predictions/month, 2 flows and 5MB storage
- Pro includes 5 users; further users cost $15/user/month
- Priority support only on the $65/month Pro plan
How Flowise markets itself
A structured read of the promise, proof and page design on Flowise’s captured homepage.
Homepage capture
“Build AI Agents Visually”
- Angle: AI-native
- Hero: Product screenshot
Pricing
Published plans and prices from Flowise’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Flowise pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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