Flowise

What is Flowise?

Flowise is an open-source platform for visually building generative AI applications and agentic systems. It offers modular nodes for models, tools, retrieval, memory, data processing, routing, loops, and custom code, allowing teams to move from a prototype to a deployed workflow without hand-building every integration.

Chatflow covers chatbots, simpler single-agent systems, tool calling, and retrieval-augmented generation. Agentflow supports more complex orchestration and coordinated multi-agent systems. Applications can be exposed through APIs, JavaScript and Python SDKs, a command line, or an embedded chat interface.

How to Use Flowise

1. Choose Flowise Cloud or install the open-source package in an approved environment.
2. Start a Chatflow for a chatbot or simple agent, or an Agentflow for more complex orchestration.
3. Add models, credentials, prompts, tools, memory, vector stores, and data sources.
4. Connect nodes for branching, loops, routing, human review, and output processing.
5. Test with representative inputs and inspect execution traces, errors, cost, and retrieved context.
6. Deploy through an API or embedded interface and add access control, monitoring, evaluation, and scaling.

Core Features

• Visual orchestration: Builds workflows with reusable nodes, expressions, custom code, routing, branching, and loops.
• Single and multi-agent flows: Supports assistants, autonomous agents, and coordinated agent systems.
• RAG pipelines: Connects document sources, loaders, embeddings, vector databases, retrievers, and memory.
• Human in the loop: Allows review or intervention inside an agent workflow.
• Execution traces: Provides visual debugging and integrations with observability systems.
• Developer interfaces: Exposes APIs, TypeScript and Python SDKs, CLI tools, and embeddable chat.
• Broad integrations: Supports many models, embedding services, vector stores, data sources, and tools.
• Deployment flexibility: Offers managed cloud plus self-hosted, on-premises, and horizontally scalable configurations.

Use Cases

• Create a support or internal knowledge chatbot grounded in company content.
• Build a tool-using agent that calls business APIs and services.
• Orchestrate multiple specialist agents around a shared process.
• Prepare ingestion and retrieval pipelines for RAG applications.
• Embed an AI assistant into a product while retaining control of the workflow.

Pricing

Flowise is open source and can be self-hosted. Flowise Cloud currently offers Free at $0 per month with two flows or assistants and 100 predictions, Starter at $35 per month, and Pro at $65 per month. Infrastructure, model, database, and observability costs may apply separately to self-hosted deployments.

Frequently Asked Questions

Is Flowise only for no-code users?

No. The visual builder speeds orchestration, while technical users can add custom code, APIs, SDKs, and deployment infrastructure.

What is the difference between Chatflow and Agentflow?

Chatflow is intended for chatbots, simple LLM flows, and single-agent systems. Agentflow is the broader option for complex orchestration and multi-agent systems.

Does a visual builder remove production risk?

No. Teams still need credential isolation, permissions, input and output controls, evaluation, monitoring, rate limits, and human approval for consequential actions.