Flowise — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Flowise. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: May 7, 2026 • Sentiment updated: Apr 18, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As seen on Reddit, 'Flowise AI Agent Builder is under active exploitation by threat actors. VulnCheck reports over 12,000 Flowise instances are currently exposed and vulnerable.' Additionally, HackerNews users discuss the platform's potential, with one user stating 'Nice app, and thank you for OSS!'

Pros & Cons

What People Love

Innovative AI agent builder, Drag-and-drop UI for LLM flows, Reddit users praise its potential for building LLM applications

Common Complaints

Vulnerability exploitation, Exposure of 12,000+ instances

Biggest Positive: Innovative AI

Biggest Negative: Vulnerability exploitation

Why Flowise Stands Out

Flowise stands out from other workflow automation tools by providing a unique visual interface for designing and executing AI agent workflows. Its drag-and-drop interface makes it easy to create complex workflows without needing to write code. Additionally, Flowise's support for a wide range of third-party services and its flexible framework for defining custom workflows make it an ideal choice for a variety of use cases. By leveraging Flowise, users can automate tedious tasks and focus on higher-level decision-making.

Built With

Build a visual workflow for AI agents — Flowise enables this through its drag-and-drop interface for designing agent flows, Build a chatbot that integrates with multiple services — Flowise allows this by providing a wide range of pre-built nodes for third-party services, Build an automated data processing pipeline — Flowise supports this by offering a variety of nodes for data manipulation and analysis, Build a custom AI model deployment workflow — Flowise facilitates this by providing a flexible framework for defining and executing complex workflows, Build an AI-powered decision support system — Flowise makes this possible by allowing users to create custom decision-making workflows

Getting Started

  1. Install Flowise using the command `npm install -g flowise`
  2. Start Flowise using the command `npx flowise start`
  3. Open a web browser and navigate to `http://localhost:3000` to access the Flowise interface
  4. Configure your workflow by dragging and dropping nodes onto the canvas and connecting them as needed
  5. Try building a simple chatbot workflow to verify that Flowise is working correctly

About

Build AI Agents, Visually

Official site: https://flowiseai.com

Category & Tags

Category: multi-agent

Tags: agentic-ai, agentic-workflow, agents, artificial-intelligence, chatbot, chatgpt, javascript, langchain, large-language-models, low-code, multiagent-systems, no-code, openai, rag, react, typescript, workflow-automation

Market Context

Competing with Langflow and other AI platforms