Flowise

Open-source AI agent builder, now backed by Workday.

Agents & Automation Open Source Has API Open Source
Researched · Published · Reviewed
RECATOOLS Score
7.5 / 10
Capability
7
Value for money
9
Ease of use
6
ASEAN readiness
7
API quality
7
Founded
2023
HQ
London, UK
Users
30000+ GitHub stars
Launched
Mar 2023
Developer
Henry Heng, Chee Hau Tan

Overview

Flowise is an open-source, Apache-2.0-licensed platform for building AI agents and RAG pipelines on a visual canvas. Workday acquired the company in August 2025 and continues funding the open-source project alongside a paid cloud tier.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
$0
For solo prototyping
  • 2 flows & assistants
  • 100 predictions/mo
  • 5MB storage
Pro
$65/mo
For growing teams
  • 50,000 predictions/mo
  • 10GB storage
  • Unlimited workspaces
  • +$15/extra user
Enterprise
Custom
On-prem/air-gapped deployment
  • SSO & RBAC
  • Audit logs
  • 99.99% SLA
  • Dedicated support

Use cases

LLM app building Visual flows Self-hosted RAG
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ASEAN Perspective

Flowise in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

Flowise is a popular open-source, low-code platform for building AI agents and RAG pipelines visually — chaining models, vector stores, tools and memory on a drag-and-drop canvas, built on LangChain/LlamaIndex. Workday acquired the company in August 2025 and says it will keep funding the open-source project, which has eased concerns about long-term support. Self-hosting stays free under Apache 2.0, and a hosted cloud tier starts at $35/month for teams that don't want to run it themselves. Caveats: several critical RCE vulnerabilities were disclosed in 2025-2026, including one rated CVSS 10.0, with thousands of exposed self-hosted instances found under active attack before patches landed — keep it updated and don't expose the API publicly. Complex flows also get hard to debug, and there's no built-in RBAC or audit logging outside the paid tiers.

Independent AI-assisted assessment by RECATOOLS.

What people say

Workday bought Flowise in August 2025. Terms weren't disclosed, but the open-source repo kept shipping — v3.1.3 landed in June 2026, and the project sits at 54,500-plus GitHub stars and 337 contributors, so the acquisition hasn't slowed development the way these things sometimes do.

What you get is a drag-and-drop canvas for wiring together LLMs, vector stores, tools and memory into either a single-agent chat flow or a multi-agent "Agentflow." It's genuinely fast for prototyping RAG and agent setups, and the self-hosted core is Apache 2.0 — free, not MIT as some listings still claim, which matters if your legal team checks these things. Enterprise names on the site now include AWS, Priceline, Accenture and Deloitte.

The uncomfortable fact worth knowing before you self-host: Flowise had three serious remote-code-execution vulnerabilities disclosed within about a year, one of them a maximum-severity CVSS 10.0 flaw in the CustomMCP node that let attackers run arbitrary JavaScript. Researchers found over 12,000 exposed instances online before fixes in v3.0.6/3.1.1 shipped. Patch promptly if you're running this yourself and don't expose the API publicly.

Pricing for the hosted option: free for 2 flows and 100 predictions a month, Starter at $35/month for unlimited flows and 10,000 predictions, Pro at $65/month for 50,000 predictions, Enterprise by quote for on-prem or air-gapped deployment with SSO and audit logs. Good fit for technical teams comfortable owning their stack; less so for anyone wanting a fully managed, hands-off service.

Summary of public user & expert reviews, compiled by RECATOOLS.

Notable facts

  • Flowise was created by two developers from Singapore, making it a notable APAC contribution to the open-source AI tooling ecosystem.
  • The project went from 0 to 20,000 GitHub stars in its first 3 months, driven by developers frustrated with the complexity of building LangChain applications in pure code.
  • Flowise can be deployed on any cloud provider in under 5 minutes using the official Docker image.

Frequently asked questions

Is Flowise free?
Yes. The open-source version is free to self-host. Cloud-hosted plans are available for convenience.
Do I need coding experience to use Flowise?
Basic technical understanding helps, but Flowise is designed for low-code users. Complex customisations require JavaScript.
What databases does Flowise support?
Pinecone, Chroma, Weaviate, Milvus, Qdrant, Supabase pgvector, and others as vector stores.
Can Flowise connect to my own data?
Yes. Document loaders for PDFs, Word docs, websites, APIs, and databases are built-in.
How does Flowise compare to n8n?
Flowise is specifically designed for LLM/AI workflows. n8n is a general automation tool with some AI features.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including Flowise's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Flowise unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to Flowise directly →

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