Flowise is worth it for developers who want to build AI agents visually with a node-based, drag-and-drop canvas. It's best at fast prototyping and is fully open source, so you can self-host for free with no vendor lock-in. It falls short on managed-cloud limits and hidden costs: subscription fees are only part of the bill once LLM tokens and infrastructure are added.
What is Flowise?
Flowise is an open-source, low-code tool for building LLM applications by dragging and connecting nodes on a canvas. It sits close to frameworks like LangChain, giving you a visual way to assemble chains, agents, and retrieval flows. It is typically self-hosted and popular with developers who want to prototype AI flows quickly.
Best for
Developers who want a visual, open-source way to prototype LangChain-style LLM flows and agents.
Not for
Non-technical users wanting a no-code tool with predictable all-in costs.
Strengths
- Open-source and self-hostable with an active community
- Visual node canvas for building chains, agents, and RAG flows
- Close to LangChain concepts, so it maps to familiar building blocks
- Fast for prototyping and experimenting with LLM pipelines
- Flexible model and tool integration for custom setups
Limitations
- Geared toward developers rather than non-technical operators
- Self-hosting means you handle deployment and upkeep
- Better for building AI flows than running scheduled business tasks
Flowise pricing
Open-source MIT (self-host for free) plus a managed cloud with free and prediction-based paid tiers; cloud prices are approximate as the pricing page sits behind login.
| Plan | Price | What you get |
|---|---|---|
| Open-Source (self-host) | $0 (self-host) | MIT license, unlimited flows/users, full source access |
| Free Cloud | $0/mo | ~100 predictions/mo, ~5MB storage, up to 2 flows |
| Starter | ~$35/mo | ~10,000 predictions/mo, 1GB storage, unlimited flows |
| Pro | ~$65/mo | ~50,000 predictions/mo, 10GB storage, 5 seats, RBAC |
| Enterprise | Custom | SSO/OIDC, on-prem, dedicated support, unlimited workspaces |
Pricing reflects public plans as of May 20, 2026 and can change. Check Flowise for the latest.
Flowise FAQ
How much does Flowise cost?
Flowise is free to self-host under an MIT license. Its managed cloud has a free tier, then paid plans around $35/month (Starter) and $65/month (Pro), plus custom Enterprise. Remember LLM token and infrastructure costs are billed separately from the subscription.
Flowise vs Dify: which is better?
Flowise shines for visual, node-based agent and chatflow building and quick prototyping. Dify offers broader LLM app development with stronger RAG and observability. Both are open source and self-hostable, so the choice often comes down to workflow style and ecosystem fit.
Can Flowise build AI agents?
Yes. Flowise's tagline is literally 'Build AI Agents, Visually.' You assemble agents, tools, and chatflows on a drag-and-drop canvas, connect LLMs and data sources, and deploy them via API or embedded chat widgets.
Is Flowise free and open source?
Yes. Flowise is open source under the MIT license and can be self-hosted at no licensing cost with unlimited flows and users. Paid managed-cloud tiers exist for teams that prefer hosting and support handled for them.
What are predictions in Flowise cloud?
Predictions meter runs of your flows on Flowise's cloud plans. The free tier includes about 100 per month, Starter around 10,000, and Pro around 50,000. Self-hosting removes these limits since you run and pay for your own infrastructure.
Looking at alternatives? Flowise is great for developers who want to prototype LLM flows visually and are comfortable self-hosting. Autonoly targets a different user: someone non-technical who wants finished automations rather than a builder, so if the goal is running tasks on a schedule instead of assembling chains, Autonoly is the more direct route. See the Autonoly review.