Flowise is an open-source low-code tool for building custom AI agents and LLM applications. It provides a drag-and-drop UI to easily construct complex AI workflows visually.

Is Flowise open source?

Yes, licensed under NOASSERTION.

Flowise: An open-source low-code tool for building custom AI agents and LLM… (★ 55k, NOASSERTION)

Features

01Visual drag-and-drop interface for building AI agents and LLM apps.

02Supports a wide range of LLMs, embeddings, and tools through component integrations.

03Enables low-code/no-code development for rapid AI application creation.

04Flexible self-hosting options across various cloud providers and platforms.

05Modular architecture with distinct server, UI, and component packages.

Why choose it

+Visual drag-and-drop interface for building AI agents and LLM apps.

+Rapidly prototyping and developing LLM-powered applications.

+Covers 14 supported environments or platforms, which is helpful for broader deployment needs.

+Ships with a public repository and a NOASSERTION license, which makes adoption and review easier.

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

Node.js

Native

Verified via docs

Docker

Supported

Verified via docs

AWS

Supported

Verified via docs

Azure

Supported

Verified via docs

Digital Ocean

Supported

Verified via docs

GCP

Supported

Verified via docs

Quick start

$ npm install -g flowise

Use cases

↳Rapidly prototyping and developing LLM-powered applications.

↳Creating custom AI chatbots and conversational interfaces.

↳Integrating advanced AI capabilities into existing software systems.

How it compares

≈Flowise sits in the Vision / Multimodal category, so it makes more sense to evaluate it alongside tools like ragflow instead of in isolation.

≈If your main need is closer to "Rapidly prototyping and developing LLM-powered applications.", that use case is a better lens for comparison than broad feature checklists alone.

≈Flowise uses a NOASSERTION license, and community traction are both easier to judge in category context.

Alternatives

ragflow★ 85.4k

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

vs →

n8n★ 197.1k

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

vs →

headroom★ 60.2k

Comments

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usr_seed_0599May 19, 2026
Not a developer but I built a working AI assistant for our small business using this. Took a few days but it works.
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usr_seed_0489Apr 28, 2026
ok the drag-and-drop LLM chaining is genuinely intuitive. had a working chatbot in under an hour
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usr_seed_0757Feb 20, 2026
Replaced a custom LangChain setup with Flowise for a client project. Cut delivery time in half and they can actually maintain it themselves.
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usr_seed_0967Feb 18, 2026
Deployed Flowise on a $6 DigitalOcean droplet for internal use. Handles our customer FAQ agent without issues. Zero maintenance for 3 months now.
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usr_seed_0188Feb 2, 2026
Runs well in Docker alongside Postgres for credential storage. The API endpoint feature is underrated — clean way to integrate agents into existing apps.
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usr_seed_0327Jan 29, 2026
Wrote a full tutorial on building RAG chatbots with Flowise for my blog — the visual approach makes it great for teaching LLM app concepts.
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usr_seed_0605Jan 25, 2026
for building AI agents visually this is probably the quickest path from idea to working prototype
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usr_seed_0960Dec 31, 2025
Node.js-based, runs fine on Node 18 and 20. The marketplace of pre-built flows is useful for getting started quickly.
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usr_seed_0181Nov 30, 2025
Some advanced LangChain features aren't exposed through the UI yet. Fine for most use cases, but you'll hit the ceiling on complex custom chains.

Flowise

Features

Why choose it

Trade-offs

Compatibility

Quick start

Use cases

How it compares

Alternatives

Related searches

Comments

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