Flowise

What it is

Flowise is an open-source visual platform for assembling AI agent workflows and chatbots. You can install it locally via npm, run it on-premises, or host it through their managed cloud service. It supplies modular blocks to connect multi-agent orchestrations, retrieval-augmented generation pipelines, and standard chat flows using over 100 large language models, vector databases, and embeddings.

Best for

The platform targets developers and product teams who want to build and test LLM applications visually instead of coding raw pipelines from scratch. Source examples point to teams embedding AI assistants into software platforms, running knowledge retrieval across structured and unstructured files (such as SQL, PDF, and JSON), and orchestrating multi-agent setups with human-in-the-loop task review.

Key strengths

• Flexible application patterns: supports multi-agent coordination, single-agent chatflows with tool calling, and human review steps within agent execution loops.
• Developer integration paths: you can connect external apps using Python and TypeScript SDKs, prediction REST APIs, or an embeddable chat widget.
• Built-in observability hooks: supports full execution traces alongside Prometheus and OpenTelemetry exports for tracking performance.
• Tiered hosted pricing: offers an entry point at $0 per month (2 flows, 100 predictions) up to a $65 per month Pro plan covering 50,000 predictions, team permissions, and 10GB of storage.

Watch-outs

• The platform is being sunsetted. The source announces Flowise is shutting down, so we do not recommend building new production architecture on it without knowing the timeline.
• Cloud volume limits are strict. The free tier cuts off at 100 predictions and 5MB of storage, while the $35 per month Starter tier handles only 10,000 predictions and 1GB.
• The source provides no details regarding how the sunset affects the open-source GitHub codebase versus the hosted cloud service, leaving migration requirements unspecified.