Flowise

What is Flowise?

Flowise is an open-source platform for building AI agents and LLM workflows on a visual canvas. It offers three builders: Assistant, the simplest route to a chat agent that follows instructions, calls tools and retrieves answers from uploaded files; Chatflow for single-agent systems and chatbots with techniques such as Graph RAG and rerankers; and Agentflow, which extends both to multi-agent systems and workflow orchestration. Flowise connects to more than 100 sources, tools, vector databases and memories, supports open-source and proprietary models, and includes MCP client and server nodes. Around the builder sit tracing and analytics, evaluations, human-in-the-loop steps, an API, CLI and JavaScript and Python SDKs, and an embeddable chat widget. You can self-host it, including air-gapped, or use Flowise Cloud, whose Free plan allows 2 flows and 2 assistants and whose Starter plan offers unlimited ones. Paid plan prices are not published.

Use cases

• Build a chatbot over your documents
• Orchestrate multi-agent workflows
• Create a RAG pipeline visually
• Embed a chat widget on a site
• Evaluate chatflows with test datasets
• Connect agents to tools over MCP
• Self-host an LLM app builder

Who it's for

• AI developers
• Low-code builders
• Enterprise IT teams
• Startups

Why use Flowise

• Lets you assemble agents and RAG apps by connecting nodes instead of writing every integration by hand.
• Scales from a beginner Assistant to multi-agent Agentflows in the same product.
• Can run in your own environment, including air-gapped, which helps when data cannot leave your network.
• Brings tracing, evaluations and a chat widget into one platform, so testing and delivery sit with the build.
• Is open source, with an active community and Discord support.

Flowise features

• Assistant, Chatflow and Agentflow visual builders
• Single-agent, multi-agent and workflow orchestration
• Connections to 100+ sources, tools, vector databases and memories
• Open-source and proprietary model support
• MCP client and server nodes
• Execution logs and visual debugging
• Evaluations with datasets and evaluators
• Human-in-the-loop steps
• API, CLI and JavaScript and Python SDKs
• Embeddable and shareable chat widget
• RBAC, SSO and encrypted credentials

Flowise integrations

• MCP

How to get started with Flowise

1. Choose how to run it: self-host the open-source project or sign in to Flowise Cloud with email, Google or GitHub.
2. Pick a builder: Assistant, Chatflow or Agentflow.
3. Drag nodes onto the canvas for models, tools, vector stores, memory and logic, and add credentials.
4. Test and debug with execution logs, and run evaluations against datasets.
5. Deploy through the API or SDKs, or embed the chat widget in your site.

Flowise limitations

• Flowise Cloud Free plan allows 2 flows and 2 assistants
• Evaluations are available on Cloud and Enterprise plans only
• Credentials are not carried over when migrating from Cloud V1 to V2
• Paid plan prices are not published

Flowise pricing

Flowise is open source, so you can use and self-host it for free.

Flowise plans

• Free

  Free

  Flowise Cloud

  • 2 flows
  • 2 assistants

• Starter

  Price on vendor site

  Flowise Cloud

  • Unlimited flows
  • Unlimited assistants

• Enterprise

  Custom

  • Evaluations
  • Self-hosted options
  • SLA support

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Flowise alternatives

The main Flowise alternatives listed on Debuly are Langflow, n8n, Dify, LangChain, Zapier and Agent Development Kit (ADK). The table compares pricing and platforms; order is A–Z.

1. 

   Agent Development Kit (ADK)

   Google's open-source, code-first Python framework for building, testing and deploying AI agents and multi-agent workflows.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Agent Development Kit (ADK) (official site)
2. 

   Dify

   Platform for building LLM apps, agents and RAG workflows on Dify Cloud or your own infrastructure, with a free Sandbox tier.

   Developer platformsAutomation and agentsChat assistants
   FreemiumVisit Dify (official site)
3. 

   LangChain

   Open-source framework for building LLM agents, paired with LangSmith for tracing, evals and agent deployment.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit LangChain (official site)
4. 

   Langflow

   Open-source low-code visual builder for AI agents, RAG apps and MCP servers, with Python customization and an API for every flow.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Langflow (official site)
5. 

   n8n

   Workflow automation platform with a visual builder, code steps and AI agents, available as n8n Cloud or self-hosted.

   Automation and agentsDeveloper platforms
   FreemiumVisit n8n (official site)
6. 

   Zapier

   No-code automation platform that links 9,000+ apps through multi-step Zaps, AI agents, tables, forms and an MCP server.

   Automation and agentsProductivity
   FreemiumVisit Zapier (official site)

Flowise FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from flowiseai.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.