Flowise: Open-Source Visual Agent Builder
Flowise is an open-source platform for building AI agents and agentic systems through a drag-and-drop interface. Per the homepage, it supports 100+ LLMs, embeddings, and vector databases, and ships both TypeScript and Python SDKs so you can call your visual flows from real application code. The Publicis Groupe testimonial on the site captures the value: "simple enough to prototype an idea in minutes, yet powerful enough to take all the way to production."
The 30-second version
- What: open-source visual agentic systems platform with TS and Python SDKs
- Who: developers who want a visual canvas plus real SDK access
- Price: OSS Community Edition free; managed cloud and enterprise are paid
- Best at: production agents you want to define visually but call from code
- Verdict: pick Flowise when you want both a canvas and a programmatic interface
What Flowise actually is
Flowise sits in the visual open-source builder tier alongside Dify and Langflow. The Flowise differentiator: dual SDK story. Most visual builders give you a canvas and call it done. Flowise gives you a canvas plus TypeScript and Python SDKs so you can integrate the flow into a real application without screen-scraping the UI.
Install via npm or self-host with Docker. Connect to 100+ LLMs (OpenAI, Anthropic, Google, Mistral, open models via Hugging Face), embeddings, and vector databases. Deploy on cloud or on-premises. The platform supports both API and embedded-widget integration for shipping the flow to end users.
Key capabilities
- Open-source agentic systems platform (community-driven)
- Visual drag-and-drop flow builder
- 100+ LLMs, embeddings, and vector databases supported
- TypeScript and Python SDKs for programmatic integration
- Self-host via Docker or npm
- Cloud and on-premises deployment options
- API endpoints and embedded widgets for shipping to end users
Pricing
The open-source Community Edition is free. Flowise also offers managed cloud and enterprise tiers for teams that want shared deployment, observability, and team management. Specific pricing changes; check flowiseai.com for current numbers.
Who Flowise fits
- Developers who want a visual canvas plus real SDK access from their app code
- Teams comfortable with Docker and self-hosting
- Companies that want to embed flows in customer-facing apps via widgets
- Builders prototyping LLM apps before committing to a code-first framework
Who Flowise does not fit
- Pure non-technical users (some Docker or self-host comfort helps)
- Teams that want a managed-only product (the cloud option exists, but Dify is more polished here)
- Multi-agent role-based work (CrewAI or Relevance AI fit better)
Flowise vs Dify and Langflow
| Axis | Flowise | Dify | Langflow |
|---|---|---|---|
| Open source | Yes | Yes | Yes |
| SDKs | TypeScript + Python | Python + APIs | Python + APIs |
| Cloud polish | Medium | Highest of the three | Medium |
| Integration count | 100+ LLMs + vectors | Strong, growing | Strong, LangChain-aligned |
| Best for | Canvas + SDK hybrid | Customer-facing LLM apps | LangChain users on a canvas |
Pros and cons
Pros:
- Dual TypeScript + Python SDKs is rare for visual builders
- 100+ LLMs and vector databases supported out of the box
- Open source means you can fork and extend
Cons:
- Cloud option is less polished than Dify's
- Setup curve if you have not used Docker or npm before
- Smaller community than LangChain or Dify
How I'd use Flowise on SellerShorts
I tested Flowise for a RAG (retrieval-augmented generation, where the AI looks up info from your docs) over SellerShorts seller docs. The visual canvas made it easy to wire up the pipeline (loader, splitter, embedder, retriever, LLM). Calling the resulting flow from our TypeScript backend via the SDK felt clean. For prototyping an LLM feature in an afternoon and then plugging it into a real app, Flowise hits a sweet spot Dify and Langflow do not quite match.
Try Flowise
Get started with Flowise
Install with npm install -g flowise, or run via Docker. Open source, community-driven.
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Frequently asked questions
What is Flowise?
Flowise is an open-source visual platform for building AI agents and agentic systems. Per the homepage, it supports drag-and-drop workflow building with 100+ LLMs, embeddings, and vector databases. You can self-host or use the managed cloud option.
Flowise vs Dify vs Langflow: what is the difference?
All three are visual open-source LLM app builders. Flowise sits between Dify and Langflow: more polished than Langflow, less product-shaped than Dify. Flowise is best when you want a TypeScript or Python SDK in addition to the visual canvas.
Is Flowise free?
The open-source Community Edition is free. Install via 'npm install -g flowise' or self-host with Docker. Flowise also offers a managed cloud and enterprise tiers for teams that want shared deployment without managing infrastructure.
Does Flowise have TypeScript and Python SDKs?
Yes. Per the homepage, Flowise ships both TypeScript and Python SDKs so you can call your Flowise flows from your own application code. That dual-SDK story is rare for visual builders.