LLM Orchestration

Flowise

Drag & drop UI to build your customized LLM flow

Status
UnmaintainedGitHub repository has been archived.
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier
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What it is

Flowise provides a user-friendly drag and drop interface to build customized language model flows with LangchainJS, making it easier for developers to integrate AI into their applications.

Flowise stands out by offering an intuitive, visual approach to building complex language model workflows, making AI integration accessible even to those with limited coding experience.

When it fits — and when it doesn’t

A good fit for

  • Developers and non-technical builders who want to visually compose RAG pipelines, chatbots, and multi-agent systems

Look elsewhere if

  • Teams needing custom logic that goes beyond what the visual builder can express

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other AI frameworks and tools

    Primary integration is with LangchainJS, lacks support for popular alternatives like TensorFlow or PyTorch

  2. 02

    Performance issues under heavy load

    Observations in community forums report slow response times during high concurrency usage scenarios

What it does well

  • Visual flow builder

  • 100+ integrations

  • RAG support

  • Multi-agent

  • API deployment

  • Docker support

  • Memory nodes

Pricing

Free tier
YesOpen source — free to use
Paid from
—
Model
Hybrid
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Flowise

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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