Flowise is an open-source platform for building LLM apps, chatbots, and multi-agent systems through a drag-and-drop interface. You connect models, data sources, and tools on a canvas, then publish via API, SDK, or an embeddable widget. It was acquired by Workday and remains open source.

Yes for prototypes, chatbots, and internal tools, where its speed is hard to beat for the money. Be careful betting a production product on it: users report memory issues under load and breaking changes between versions, so pin versions and back up your flows.

What are the best Flowise alternatives?

Langflow is the bigger open-source rival with deeper Python customization, completely free. Dify is a more polished open-source app platform with cloud plans from $59/mo. n8n, from about $24/mo hosted, is better when AI is one step in broader business automations.

Does Flowise offer a free plan?

Yes, twice over. The open-source version is free to self-host with no limits, and Flowise Cloud has a free tier with 2 flows and 100 predictions per month, enough to evaluate the product but not to run anything real.

Flowise Review 2026: 7.9/10, Free and Open Source

Q: How much does Flowise cost?

Self-hosting the open-source version is free with no feature caps. Flowise Cloud has a free tier (2 flows, 100 predictions/mo), a $35/mo Starter plan with 10,000 predictions, and a $65/mo Pro plan with 50,000 predictions and multi-user support. Enterprise pricing is custom.

Q: Who is Flowise best for?

Indie builders, agencies, and small teams who want to ship chatbots, RAG assistants, and agent workflows without writing orchestration code, and who like having a cheap managed cloud option. Less suited to enterprises needing battle-tested stability at high request volumes.

TLDR

Flowise is an open-source, drag-and-drop builder for LLM apps and multi-agent systems, now owned by Workday. Self-host it free or pay $35/mo for the managed cloud. Fantastic for prototypes and internal tools, riskier for heavy production loads. Best for: builders shipping chatbots and agents without code. Price: free, cloud from $35/mo. Rating: 7.9/10.

What is Flowise?

Flowise is a visual development platform for AI applications. On a node-based canvas you connect LLMs, vector databases, document loaders, and tools into chat assistants and agent workflows, then publish the result through a REST API, TypeScript or Python SDKs, or an embeddable chat widget you can drop on any site. It supports over 100 LLMs, embedding models, and vector databases, so you are not married to one AI vendor. Getting started is a one-liner: npm install -g flowise, then npx flowise start. We found that the time from a blank canvas to a chatbot answering questions about an uploaded PDF was about ten minutes, and most of that was waiting for embeddings to finish.

The project launched in 2023, grew into one of the most popular open-source AI builders on GitHub, and was acquired by Workday, the HR and finance software giant, which is an unusual home for a scrappy open-source tool. The core remains open source, and the company sells a managed cloud and enterprise tier on top. We dug into both sides: the builder itself, and whether the business model around it holds up for people betting real projects on the platform.

What Are Flowise’s Key Features?

Three app shapes: assistants, chatflows, and agentflows

Flowise splits its canvas into three modes. Assistants are the simplest: a chatbot with tool calling and RAG over your documents. Chatflows give you full control over a single-agent pipeline. Agentflows are the headline feature: multi-agent systems where a supervisor coordinates worker agents, with sequential and hierarchical patterns built in. Competing tools often gate multi-agent orchestration behind enterprise plans; here it is part of the core product. The split also keeps simple projects simple: you are never forced to think about orchestration patterns just to ship a support bot.

RAG over your own data

Document loaders cover PDFs, websites, Notion, Confluence, and dozens of other sources, feeding chunkers, embedding models, and your choice of vector store (Pinecone, Qdrant, Weaviate, pgvector, and many more). The pattern that makes Flowise popular with agencies is exactly this: scrape a client’s docs, wire up a retrieval pipeline, embed the chat widget on their site, and bill for an afternoon of work. Chunking strategy, embedding model, and retriever settings are all exposed as node parameters, so tuning retrieval quality does not require touching code.

Human-in-the-loop and execution tracing

Agent workflows can pause for human review before executing a sensitive step, which matters the moment an agent can send emails or touch a database. For debugging, Flowise exposes full execution traces and supports Prometheus and OpenTelemetry, so you can see exactly which node ate your tokens, how long each step took, and where a run went sideways. The observability is better than you would expect at this price, though debugging deeply nested agent logic on a canvas still gets painful past a certain complexity.

APIs, SDKs, and embeds

Every flow is callable via REST API, the TypeScript and Python SDKs wrap it for app developers, and the embed script drops a styled chat bubble onto any page in one line of HTML. This is the part that turns Flowise from a sandbox into a delivery mechanism: the thing you built on the canvas is immediately a product surface.

How Much Does Flowise Cost?

Flowise Cloud starts at $35/mo for the Starter plan: unlimited flows, 10,000 predictions per month, and 1GB of storage. The Pro plan at $65/mo raises that to 50,000 predictions, 10GB, multiple users with admin roles, and priority support. A free cloud tier exists but is strictly evaluation-grade: 2 flows, 100 predictions a month, and 5MB of storage. Enterprise pricing is custom and adds on-prem deployment, SSO, RBAC, and audit logs.

The self-hosted open-source version is free with no feature caps on the core builder, and that changes the math entirely. A $10 VPS or a Railway deployment runs Flowise comfortably for small workloads, and your only real spend is LLM API usage. Against the competition: Langflow is free open source but no longer offers a managed cloud since DataStax shut its hosted service in April 2026, Dify’s cloud Professional plan costs $59/mo, and n8n’s hosted plans start around $24/mo. Flowise’s $35 entry sits comfortably in the middle, and having both a free self-hosted path and a cheap managed path is its strongest pricing story.

One caution: the cloud plans meter predictions, and 10,000 a month sounds bigger than it is. A moderately busy customer-facing chatbot can burn that in a couple of weeks, pushing you to the $65 tier. And on self-hosted, remember that security and governance features (RBAC, SSO, audit logs) are not in the open-source core, so a compliance-minded company ends up on Enterprise pricing whether it likes it or not. Also note that none of these prices include your LLM bill: every prediction still calls OpenAI, Anthropic, or whichever provider you wired in, and on busy bots that line item will dwarf the Flowise subscription itself.

Plan	Price	Plan Features	Best For
Free	$0	2 flows, 100 predictions/mo, 5MB storage; open-source self-hosting is unlimited	Trying the cloud, or anyone willing to self-host
Starter	$35/mo	Unlimited flows, 10,000 predictions/mo, 1GB storage	Individual builders shipping real projects
Pro	$65/mo	50,000 predictions/mo, 10GB storage, multiple users, admin roles, priority support	Small teams running client or internal apps
Enterprise	Custom	On-prem deployment, SSO/SAML, RBAC, audit logs, versioning	Companies with security and compliance requirements

Who is Flowise Best For?

Use Flowise if:

You want the fastest path from idea to working chatbot or agent, with or without code.
You are an agency or freelancer shipping RAG assistants for clients and want the embed widget plus white-glove-free hosting at $35/mo.
You need multi-agent orchestration and human-in-the-loop controls without paying enterprise prices.
You like open source as an insurance policy: if the cloud product changes direction under Workday, you can self-host and keep moving.

Skip Flowise if:

You are building a high-traffic production app. Users report high RAM usage, memory leaks, and reliability wobbles under load, and debugging at scale is hard on a visual canvas.
You cannot tolerate upgrade risk. Breaking changes between versions are documented, and self-hosters have reported updates wiping flows and agents. Back up before every upgrade, no exceptions.
You need fine-grained, code-first orchestration logic. Complex branching that is trivial in LangGraph or plain Python becomes spaghetti on a canvas.

The honest middle ground: plenty of teams run Flowise in production for internal tools and low-stakes assistants without drama. The risk profile climbs with traffic and with how much custom logic you cram into one flow. Know which side of that line your project sits on before you commit.

Best Flowise Alternatives

Langflow

Langflow is the other big open-source visual AI builder, with a larger community (138k GitHub stars) and a Python escape hatch that lets you rewrite any component. It is completely free, but since the managed DataStax cloud shut down in April 2026 you must self-host or use the desktop app. Pick Langflow for maximum flexibility and zero cost; pick Flowise if you want a managed cloud and the embed widget workflow.

Dify

Dify is an open-source LLM app platform that feels more productized: app templates, built-in observability, moderation, and a cleaner path to customer-facing apps. Its cloud has a free Sandbox tier and a Professional plan at $59/mo. Dify is the better choice for polished end-user apps; Flowise is more flexible for agent experimentation and cheaper at the entry tier.

n8n

n8n is a general automation platform with AI agent nodes, a fair-code license for free self-hosting, and hosted plans from about $24/mo. If your real goal is business automation that happens to include LLM steps (CRM updates, email triage, content pipelines), n8n’s 500+ app integrations beat anything Flowise offers. For dedicated chatbot and RAG building, Flowise’s specialized components are stronger.

Final Verdict: Is Flowise Worth It?

Flowise earns a 7.9/10. The building experience is genuinely excellent: assistants, RAG pipelines, and multi-agent systems come together faster here than almost anywhere else, and the combination of a free open-source core with a $35/mo managed cloud is exactly the pricing shape this category needs. The Workday acquisition gives it financial backing, though long-term open-source direction under a corporate owner is always worth watching.

The deduction is for trust under load. Documented breaking changes between versions, community reports of updates destroying flows, and memory issues at scale mean we cannot call it production-grade for demanding apps. Our recommendation: use Flowise enthusiastically for prototypes, internal tools, client chatbots, and modest-traffic assistants. Export and back up your flows religiously. And if your agent app becomes core infrastructure, plan its eventual migration to a code-first stack before the canvas becomes the constraint.