Flowise AI

Flowise AI Review 2026 — Features, Pricing & Use Cases

Drag, drop, and ship AI agents without writing everything yourself.

Flowise is an open-source, low-code platform for building chatbots, RAG assistants, and multi-agent workflows. Workday acquired it in 2025, when the team had just five employees. You can self-host it free or use Flowise Cloud from $35 a month.

Flowise AI is a visual builder for apps powered by large language models. You connect blocks on a canvas to create chatbots, document assistants, and agent teams. It launched in 2023 and grew into one of the most popular open-source AI builders.

Workday, the HR and finance software company, acquired it on August 14, 2025. The standout fact is how small the team was at that point: five people. The core remains open source, and the company sells a managed cloud on top.

How to Get Started with Flowise AI

Choose how to run it. Sign up for the free Flowise Cloud plan, or run npx flowise start on your machine if you have Node.js. Self-hosting gives you the open-source version with no prediction caps.
Add your model credentials. Open the credentials page and add an API key for your chosen model provider. Test with a small, cheap model first.
Build a first chatflow. Drag in a chat model, a prompt template, and a memory node. Connect them, then ask a test question in the built-in chat window.
Add your documents. Create a Document Store, upload a few PDFs, and connect a vector database. Ask questions only your files can answer, and check the sources.
Deploy and monitor. Embed the chat widget or call the prediction API from your app. Watch your prediction count against your plan and run evaluations before you change prompts.

Flowise AI vs Competitors

Flowise AI vs Langflow. Choose Flowise AI if you want an open-source builder with a managed cloud at $35 a month. Choose Langflow if you want a larger community, listed at about 138,000 GitHub stars, and a Python escape hatch for rewriting components. Langflow no longer offers a managed cloud, since DataStax shut its hosted service in April 2026. Langflow suits Python teams, and Flowise suits JavaScript teams.

Flowise AI vs Dify. Choose Flowise AI for lower cloud prices and a simple chat-flow canvas. Choose Dify if you want a different workflow style, with its Professional cloud plan priced at $59 a month. Both can be self-hosted free. Flowise is lighter, and Dify offers its own application tooling.

Final Verdict

Flowise AI suits developers and small teams that want to build chatbots, RAG assistants, and agent flows without starting from scratch. Its standout feature is the free, self-hostable core with a visual canvas. The caveat is that it still expects technical skill, and long-term direction now sits with Workday. If you want control and low costs, try it today. Start free at flowiseai.com.

Chatflow Builder Chatflow is the classic Flowise canvas. You drag nodes for a model, a prompt, memory, and tools, then link them into one flow. It suits single-agent chatbots and simple RAG apps. You see the whole pipeline at a glance instead of reading code.

Agentflow for Multi-Agent Systems Agentflow lets you design several agents that hand work to each other. One agent can research, another can write, and a supervisor decides who goes next. Flowise describes this as orchestrating complex AI workflows visually. That helps you prototype agent teams before committing to custom code.

Document Stores and RAG You can load files, split them, store them as vectors, and query them from your flows. Flowise supports many vector databases and embedding models. This is how you build a chatbot that answers from your own documents. The free cloud tier offers only 5 MB of storage, so serious RAG needs a paid plan or self-hosting.

100+ Integrations Flowise supports more than one hundred large language models, embedding models, and vector databases. You can swap OpenAI for another model by changing one node. That protects you from lock-in. It also lets you test cheaper models on the same flow.

Embedded Chat Widgets and SDKs Once a flow works, you can embed a chat widget on a website. Flowise also offers TypeScript and Python SDKs. You get a quick path from prototype to a live assistant. Your front-end team can call the same flow from code.

Evaluations and Metrics Flowise includes evaluation tools, even on the free cloud plan. You can test flows against sample questions and see how answers change when you edit prompts. That helps you catch regressions before customers do. It moves Flowise beyond demo-ware.

Developers prototyping LLM apps quickly. The visual canvas replaces boilerplate code, and you can export the result to production.

Small teams building internal chatbots over company documents. Document stores and chat widgets give you a working assistant in an afternoon.

Startups that want low hosting costs. You can self-host on a basic server and pay only for your infrastructure and model tokens.

Consultants delivering AI prototypes to clients. You can show a live flow and adjust it during the meeting.

Pricing & Plans

Plan	Price	What’s Included	Best For
Self-hosted	$0 license	Open source, no prediction caps, you pay for infrastructure and tokens	Technical teams
Cloud Free	$0	2 flows, 100 predictions a month, 5 MB storage, evaluations	Testing
Cloud Starter	$35/month	Unlimited flows, 10,000 predictions, 1 GB storage	Light production
Cloud Pro	$65/month	50,000 predictions, 10 GB storage, team features, 5+ users	Small teams
Enterprise	Custom	Governance and deployment control, SLA	Large firms

These figures were checked between May and August 2026 on several trackers, and they agree. Extra users on Pro are listed at $15 a month each. There is no published annual discount, so billing is month to month. Model token costs are charged on top, and prices may have changed since this research.

Pros:

Self-hosting is free, with no prediction limits.
Cloud Starter costs $35 a month for unlimited flows and 10,000 predictions.
It supports more than 100 models, embeddings, and vector databases.
A visual canvas covers chatbots, RAG, and multi-agent flows.
Open-source code means you can keep running it if the cloud product changes.

Cons:

It is drag-and-drop but still developer-oriented, so non-technical users may struggle with nodes and prompts.
The free cloud plan’s 5 MB of storage is impractical for real document uploads.
Free and Starter plans have no SLA, because only Enterprise gets guaranteed uptime.

Yes. Flowise exposes a prediction API so your apps can send questions to a deployed flow and receive answers. It also publishes endpoints for chatflows, document stores, vector upserts, chat messages, tools, and variables. TypeScript and Python SDKs are available. You can build customer-support bots, document search tools, and internal copilots.

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