About X (Twitter)
Flowise is an open-source, visual drag-and-drop tool for building AI agents and LLM applications. Built on LangChain JS and Node TypeScript, it allows users to create complex agentic workflows without writing repetitive code. Flowise supports sequential agentic workflows, human-in-the-loop mechanisms, conditional branches, MCP (Model Context Protocol) integration, and function calling with various LLMs including GPT-4o and Anthropic models. The platform recently introduced Flowise 3.0, which can generate agent drafts from natural language descriptions, and Agentflow V2 for workflow automation.
Key Features
Visual drag-and-drop interface for building AI agents and LLM apps
Open source, built on LangChain JS and Node TypeScript
Sequential agentic workflow with chain agents, loopback, human-in-the-loop, and conditional branches
MCP (Model Context Protocol) support for integrating third-party APIs as tools
Function calling with LLMs like GPT-4o and Anthropic models
Agentflow V2 for automation workflows
Flowise 3.0: generate agent drafts from natural language descriptions
Supports multi-agent research systems and financial/manufacturing workflows
Embeddable chat UI (ChatKit), agent builder, guardrails for safety, and evals (trace grading, auto-prompt optimization)
Pros & Cons
Pros
- Completely open source and free to use
- Visual builder eliminates need for repetitive coding
- Supports a wide range of LLMs (OpenAI, Anthropic, etc.)
- Flexible workflow design with conditional logic and human-in-the-loop
- Active community with over 29,000 followers on X
- Regularly updated with major versions (v2.0, v3.0, Agentflow V2)
Cons
- Relatively young project (joined X in April 2023), ecosystem still maturing
- Tied to LangChain JS framework, may not suit non-JS environments
- Some advanced features (e.g., MCP, guardrails) may require technical understanding
Best For
Building custom AI agents for research, customer support, and automationCreating multi-agent systems for complex research tasksProcessing invoices with LLMs to calculate totals and trigger paymentsAutomating manufacturing workflows with image analysis and link creationRapidly prototyping LLM applications without codingIntegrating AI agents with Stripe for payment workflows
FAQ
What is Flowise?
Flowise is an open-source visual tool for building AI agents and LLM applications without writing code. It uses a drag-and-drop interface and is built on LangChain JS and Node TypeScript.
Is Flowise free?
Yes, Flowise is open source and free to use. The code is available on GitHub.
What models does Flowise support?
Flowise supports multiple models including OpenAI (GPT-4o), Anthropic, and others. The platform is model-agnostic and can integrate with any LLM via function calling.
What is Flowise 3.0?
Flowise 3.0 allows users to describe what they want to create and automatically generates a draft agent workflow from that description.
Does Flowise support human-in-the-loop?
Yes, Flowise v2.0 introduced human-in-the-loop mechanisms, allowing agents to pause and request human input during workflows.
Can I use Flowise with MCP tools?
Yes, Flowise supports MCP (Model Context Protocol), which allows integration of third-party APIs and functions as tools within agent workflows.