Flowise

Open-source no-code LLM app builder

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 no-code platform for building LLM apps via visual flows. Similar concept to Langflow but with broader LLM provider support and stronger self-hosting community. MIT-licensed.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 21 May 2026 and may be out of date or incomplete.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
Free
Fully free self-hosted

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 LLM apps and agents visually — chaining models, vector stores, tools and memory on a drag-and-drop canvas, with LangChain/LlamaIndex under the hood. Its strengths are price (self-host free), flexibility, an active community and the ability to prototype RAG and agent workflows fast, making it a strong alternative to closed builders.

Caveats: self-hosting, scaling and securing it in production is on you, the visual abstraction can leak complexity for non-trivial flows, and polish/stability trail commercial tools. ASEAN-friendly since you control hosting and region. Excellent value for technical teams comfortable running their own stack; less suited to non-developers wanting a managed, hands-off service.

Independent AI-assisted assessment 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.

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