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AI & Automation
October 6, 2026
3 min read

Flowise AI: Build AI Agents and LLM Workflows Visually

SG
Sean Guillermo
Growth Architect & Digital Strategist
Flowise AI: Build AI Agents and LLM Workflows Visually

Flowise is an open-source generative AI development platform for building AI agents and LLM workflows. You connect blocks on a canvas, add your model and data, and publish. This Flowise guide sticks to what the project's docs say.

What is Flowise?

Flowise describes itself as an open-source platform for building AI agents and LLM workflows. It bundles a visual builder with tracing and analytics, evaluations, human in the loop, an API, CLI, SDK, an embedded chatbot, and teams and workspaces.

Flowise Assistant, Chatflow and Agentflow

  • •Assistant. The most beginner-friendly option. You create a chat assistant that follows instructions, uses tools when needed, and answers from files you upload (RAG).

  • •Chatflow. For single-agent systems, chatbots and simple LLM flows. It is more flexible than Assistant and supports techniques like Graph RAG, rerankers and retrievers.

  • •Agentflow. The superset of Chatflow and Assistant. Use it for single-agent and multi-agent systems and complex workflow orchestration.
  • What you can build with Flowise

    According to the docs capability list:

  • •Orchestration. A visual editor that works with open-source and proprietary models, with custom code and branching, looping and routing logic.

  • •Data and tools. Connects to 100+ sources, tools, vector databases and memories.

  • •MCP. MCP client and server nodes.

  • •Monitoring. Execution logs, visual debugging and external log streaming.

  • •Safety. Input moderation and output post-processing.

  • •Sharing. A customizable embedded chat widget, plus a template marketplace for reusable components.
  • Flowise security and deployment options

    The docs list self-hosted deployment, including air-gapped, and security controls such as RBAC, SSO, encrypted credentials, secret managers, rate limits and restricted domains. Check the docs for which of these apply to the edition you use.

    How to install Flowise with npm or Docker

    Flowise needs Node 20 or newer. Run npm install -g flowise then npx flowise start and open localhost:3000. A Docker Compose option is also provided.

    Is Flowise a good fit for your workflow?

  • •You want the fastest local trial: Flowise is lighter to start than a multi-service setup.

  • •You want to publish a finished app on your data with a team: also look at Dify.

  • •You need heavy custom logic: see LangChain and LangGraph.
  • Start with one narrow workflow, like answering questions from your own FAQ. Test it on real examples before you connect it to anything customer facing.

    Want help picking or setting up a workflow? Send the task and the tools you already use through the contact page.

    Sources: Flowise docs, Flowise on GitHub.

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