FlowiseAI

    FlowiseAI/Flowise

    #126 this week

    Build AI Agents, Visually

    ai
    llm
    low-code
    frontend
    agentic-ai
    agentic-workflow
    agents
    artificial-intelligence
    chatbot
    TypeScript
    NOASSERTION
    55.4K stars
    24.9K forks
    55.4K GitHub watchers
    Updated 8/13/2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Use Cases & Benefits

    • Flowise enables building AI agents visually with a low-code/no-code interface, simplifying AI workflow automation and multi-agent system creation.
    • It is built with TypeScript, React frontend, Node backend, and integrates with technologies like Langchain, OpenAI, and large language models.
    • Strengths include high GitHub popularity (43.7k stars), extensive deployment options, and modular architecture; limitations may include complexity for non-technical users.
    • Organizations can self-host Flowise on cloud platforms like AWS, Azure, or use Flowise Cloud for scalable AI agent deployment and workflow automation.
    • Ideal for enterprises and developers seeking to create, customize, and deploy AI chatbots and agentic workflows visually without deep coding expertise.

    About Flowise

    Build AI Agents, Visually

    📚 Table of Contents

    ⚡Quick Start

    Download and Install NodeJS >= 18.15.0

    1. Install Flowise

      npm install -g flowise
      
    2. Start Flowise

      npx flowise start
      
    3. Open http://localhost:3000

    🐳 Docker

    Docker Compose

    1. Clone the Flowise project
    2. Go to docker folder at the root of the project
    3. Copy .env.example file, paste it into the same location, and rename to .env file
    4. docker compose up -d
    5. Open http://localhost:3000
    6. You can bring the containers down by docker compose stop

    Docker Image

    1. Build the image locally:

      docker build --no-cache -t flowise .
      
    2. Run image:

      docker run -d --name flowise -p 3000:3000 flowise
      
    3. Stop image:

      docker stop flowise
      

    👨‍💻 Developers

    Flowise has 3 different modules in a single mono repository.

    • server: Node backend to serve API logics
    • ui: React frontend
    • components: Third-party nodes integrations
    • api-documentation: Auto-generated swagger-ui API docs from express

    Prerequisite

    • Install PNPM
      npm i -g pnpm
      

    Setup

    1. Clone the repository:

      git clone https://github.com/FlowiseAI/Flowise.git
      
    2. Go into repository folder:

      cd Flowise
      
    3. Install all dependencies of all modules:

      pnpm install
      
    4. Build all the code:

      pnpm build
      
      Exit code 134 (JavaScript heap out of memory) If you get this error when running the above `build` script, try increasing the Node.js heap size and run the script again:
      # macOS / Linux / Git Bash
      export NODE_OPTIONS="--max-old-space-size=4096"
      
      # Windows PowerShell
      $env:NODE_OPTIONS="--max-old-space-size=4096"
      
      # Windows CMD
      set NODE_OPTIONS=--max-old-space-size=4096
      

      Then run:

      pnpm build
      
    5. Start the app:

      pnpm start
      

      You can now access the app on http://localhost:3000

    6. For development build:

      • Create .env file and specify the VITE_PORT (refer to .env.example) in packages/ui

      • Create .env file and specify the PORT (refer to .env.example) in packages/server

      • Run:

        pnpm dev
        

      Any code changes will reload the app automatically on http://localhost:8080

    🌱 Env Variables

    Flowise supports different environment variables to configure your instance. You can specify the following variables in the .env file inside packages/server folder. Read more

    📖 Documentation

    You can view the Flowise Docs here

    🌐 Self Host

    Deploy Flowise self-hosted in your existing infrastructure, we support various deployments

    ☁️ Flowise Cloud

    Get Started with Flowise Cloud.

    🙋 Support

    Feel free to ask any questions, raise problems, and request new features in Discussion.

    🙌 Contributing

    Thanks go to these awesome contributors



    See Contributing Guide. Reach out to us at Discord if you have any questions or issues.

    Star History Chart

    📄 License

    Source code in this repository is made available under the Apache License Version 2.0.

    Discover Repositories

    Search across tracked repositories by name or description