Flowise is an open-source platform for building AI agents and LLM workflows visually. It supports multi-agent orchestration, chat assistants, observability, and deployment on cloud or on-premises infrastructure.
Flowise is an open-source generative AI development platform for building AI agents, LLM orchestration, and related workflows. The homepage describes it as a visual system for creating agentic applications, from simple compositional flows to autonomous agents.
It is aimed at teams that want to assemble chat assistants, multi-agent systems, and retrieval-based experiences through modular building blocks rather than writing every workflow from scratch. The site also highlights developer integration through APIs, SDKs, and embedded chat, plus deployment support for cloud and on-premises environments.
Build multi-agent systems with workflow orchestration spread across coordinated agents. The homepage pairs this with support for many input and data formats, including text, PDF, RTF, DOC, HTML, CSS, JS, JSON, XML, CSV, MD, and SQL.
Create single-agent chatbots and workflows that can call tools and retrieve knowledge from data sources through RAG.
Add human review into agent workflows so tasks can be checked before they continue through the loop.
Inspect full execution traces and connect observability tooling such as Prometheus and OpenTelemetry.
Extend Flowise through APIs, embedded chat, and TypeScript and Python SDKs for use inside other products.
Run on cloud or on-premises infrastructure and scale horizontally using message queues and workers.
Assemble multi-agent systems where several agents coordinate on different parts of a workflow, with the visual builder providing the orchestration layer.
Build chatbots and chat assistants that can call tools and retrieve answers from connected knowledge sources.
Add human review steps to workflows that need a person to approve, edit, or verify agent output before the process continues.
Integrate AI capabilities into an existing product through APIs, SDKs, or embedded chat rather than using Flowise only as a standalone app.
Deploy AI applications in cloud or on-premises environments and scale them with workers and message queues when usage grows.
Flowise is an open-source platform for building AI agents and LLM workflows visually. The site positions it for users who want to create agentic systems, chatbots, and retrieval-based apps without starting from scratch.
The source shows Flowise supporting visual building of agentic systems, multi-agent workflows, single-agent chatflows, human-in-the-loop review, observability, APIs, SDKs, and embedded chat.
The site indicates support for cloud and on-premises deployment, with scaling via message queues and workers.
The pricing page shows a sign-in flow and a free tier alongside paid plans, but the source does not include a public pricing table beyond the plan names and example limits shown on the homepage.
The homepage highlights APIs, an embedded widget, and TypeScript and Python SDKs for extending Flowise into other applications.
