Flowise
Overview
An open-source, drag-and-drop UI tool for building customized Large Language Model (LLM) workflows.
Best For Professions:
Flowise is an open-source platform that provides a user-friendly, drag-and-drop interface for creating customized workflows utilizing Large Language Models (LLMs). It enables developers to design and deploy complex AI applications without extensive coding, facilitating rapid prototyping and deployment. Flowise supports integration with various AI models and services, allowing users to build applications for tasks such as natural language processing, data analysis, and automation. Its modular design and extensibility make it a versatile tool for both beginners and experienced developers aiming to leverage LLMs in their projects.
Product overview
Capabilities, pricing and fit
Flowise is best understood as an agent-building or deployment platform. An open-source, drag-and-drop UI tool for building customized Large Language Model (LLM) workflows.
Information as of July 30, 2026
What it can do
- Agent building and deployment
An open-source, drag-and-drop UI tool for building customized Large Language Model (LLM) workflows.[1]
Where it fits best
- Developing AI applications with minimal coding effort.[1]
Pricing and availability
Access: Source repository[1]
Sources (1)
- GitHub - FlowiseAI/Flowise: Build AI Agents, Visually · GitHubGitHub · checked 2026-07-30
Autonomy level
63/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Flowise:
- Developing AI applications with minimal coding effort.
- Creating and managing complex LLM workflows through a visual interface.
- Integrating multiple AI models and services into cohesive applications.
- Rapidly prototyping and deploying AI solutions across various domains.
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Pricing model:
Code access:
Popularity level: 80%
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AI Agent Store · Specialist AI agentsFor no-code automation consultancies
Finish the handover around the visual workflow.
Coordinate source mappings, connected accounts, test cases and recovery notes around the automations you design for clients.
- ✓ Process and field-mapping reconciliation
- ✓ Connection build and exception coordination
- ✓ Observed run validation and client-handover closure
Tailored starting setup. Chat on our site. See the workflow and monthly plan.