Visual agent workflows
Compose agentic systems with modular building blocks, covering workflows ranging from simple chains to autonomous agents.
Flowise
Freemium
Open-source platform for visually building AI agents, LLM workflows, and chat applications.
What is Flowise?
Flowise is an open-source development platform for building AI agents and applications through visual workflows. It provides modular building blocks for composing agentic systems, from straightforward workflows to autonomous agents, without requiring every interaction to be implemented from scratch. The platform supports both single-agent chat applications and multi-agent systems with workflow orchestration.
Flowise can be used to connect language models, tools, knowledge sources, and application interfaces. Developers can work through a visual builder, then integrate completed applications using APIs, TypeScript or Python SDKs, and an embedded chat widget. Deployment options include cloud and on-premises environments, with infrastructure for scaling applications across workers.
What can Flowise do?
Multi-agent orchestration
Agentflow supports systems in which multiple coordinated agents work together through workflow orchestration.
Chat assistants and RAG
Chatflow supports single-agent chatbots with tool calling and knowledge retrieval from multiple data sources.
Human review loops
Human-in-the-loop workflows allow people to review tasks performed by agents and provide feedback.
Execution observability
Flowise provides full execution traces and supports Prometheus, OpenTelemetry, and other observability tools.
Developer integration
Applications can be extended through APIs, TypeScript and Python SDKs, and an embedded chat widget.
Use Cases
“Build internal AI assistants”
Create assistants for organizational workflows, using visual orchestration to connect models, tools, and application-specific behavior.
“Create knowledge-based chatbots”
Build chat experiences that answer questions using retrieval from sources such as documents and other connected data.
“Coordinate specialized agents”
Design multi-agent workflows where separate agents collaborate on a broader task through explicit orchestration.
“Embed AI into products”
Add conversational or agentic functionality to an existing application through the API, SDKs, or embedded chat interface.
“Prototype and operate AI applications”
Iterate visually during development, then deploy to cloud or on-premises infrastructure with support for horizontal scaling.
Frequently Asked Questions
What is Flowise used for?
Flowise is used to visually build AI agents, LLM workflows, chat assistants, and other generative AI applications.
Does Flowise support multi-agent systems?
Yes. Its Agentflow capability supports multi-agent systems with workflow orchestration across coordinated agents.
Can Flowise connect chatbots to external knowledge?
Yes. Chatflow supports knowledge retrieval from various data sources, along with tool calling.
How can a Flowise application be integrated into another product?
Flowise provides APIs, TypeScript and Python SDKs, and an embedded chat widget for application integration.
Can Flowise be deployed on-premises?
Yes. The platform supports both cloud and on-premises deployment environments.
Quick Facts
- Category
- AI development platform
- Primary workflows
- AI agents, LLM orchestration, chat assistants, and retrieval-augmented applications
- Interface
- Visual workflow builder
- Integration options
- APIs, TypeScript SDK, Python SDK, and embedded chat
- Deployment
- Cloud and on-premises
- Source domain
- flowiseai.com
Flowise Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 73
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