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: Jun 16, 2026 • Sentiment updated: Jun 27, 2026

GitHub Statistics

Community Sentiment

Community Buzz: Hi HN! I built Autocache, an intelligent proxy for the Anthropic Claude API that automatically reduces costs by up to 90% and latency by up to 85% - from HackerNews

Pros & Cons

What People Love

Autocache's cost reduction, Flowise's ease of use - praised by Dev.to users

Common Complaints

Security issues, Compatibility problems

Biggest Positive: Flowise AI

Biggest Negative: Security concerns

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

Competitive AI market with Anthropic and OpenAI