
Flowise
About
Open-source visual AI agent builder: three visual orchestrators (Assistant/Chatflow/Agentflow), drag-and-drop building, self-hosted or cloud
Our Verdict
RecommendedThe open-source way to build agents without code
Flowise occupies a sweet spot: more capable than closed no-code bot builders, more approachable than code-first frameworks. The drag-and-drop canvas genuinely works for RAG chatbots and moderately complex agent flows, and the option to self-host — with roughly 40k GitHub stars behind it — means you are never locked in. Just know its limits: past a certain complexity, visual graphs become their own kind of spaghetti, and serious engineering teams will eventually want LangGraph or Mastra underneath.
Best for
- •Non-developers and product teams building agent prototypes
- •Embedding RAG chatbots into websites quickly
- •Organizations needing self-hosted, data-sovereign LLM apps
Consider alternatives if
- •You need code-level control and testing (→ LangGraph, Mastra)
- •You want an all-in-one LLMOps platform with app hosting (→ Dify)
Supported Platforms
Available platforms include Web App, Windows, macOS, Linux, and API.
Key Features
Pricing
Use Cases
Pros
Cons
Latest Update
2026: Flowise's Agentflow builder matures with human-in-the-loop steps and deeper multi-agent orchestration, cementing its place as the leading open-source visual agent platform (~40k GitHub stars)
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