Flowise is an open-source platform for developing AI applications that lets you visually create intelligent agents, chatbots, and LLM workflows through a no-code drag-and-drop interface. Based on LangChain, it offers over 100 integrations, supports multiple language models (OpenAI, Claude, Gemini, etc.), and facilitates rapid deployment of customized AI applications. Perfect for prototyping and production of conversational assistants and RAG systems.
Overview of Flowise
Detailed overview
✅ Strengths
- Intuitive visual interface with drag-and-drop to create without coding
- Open-source platform with active community and regular contributions
- 100+ integrations (LLMs, vector databases, external APIs)
- Flexible deployment: cloud, on-premise, or self-hosted
- Advanced observability tools (tracing, analytics, debugging)
- Three complexity levels: Assistant, Chatflow, and Agentflow
- Multi-agent support for complex workflow orchestration
⚠️ Limits
- User interface English only (no multilingual support)
- Learning curve to master all advanced features
- Requires technical knowledge to optimize complex workflows
- Documentation sometimes incomplete for certain specific use cases
❓ FREQUENT QUESTIONS
FAQ — Flowise
Is Flowise really free?
Yes, Flowise is a free open-source platform you can self-host. A freemium cloud version is also available with up to 2 workflows and 100 predictions per month. Paid plans start at $35/month for advanced features.
Do I need programming knowledge to use Flowise?
Not necessarily. The visual drag-and-drop interface lets you create simple workflows without coding. However, to fully leverage advanced features and optimize performance, basic technical skills are recommended.
Which language models does Flowise support?
Flowise supports over 100 integrations including OpenAI (GPT-3.5, GPT-4), Anthropic Claude, Google Gemini, open-source models via Hugging Face and Ollama, as well as custom LLMs via API. You can also use multiple models in the same workflow.
Can I deploy Flowise on my own servers?
Absolutely. Since Flowise is open-source, you can install it on your own servers (AWS, Azure, GCP) or host it locally. This ensures full control over your data and enables deployments in air-gapped environments for high security needs.
Is Flowise suitable for enterprise projects?
Yes, Flowise offers enterprise features like SSO, SAML, RBAC, audit logging, and on-premise support. Enterprise plans include SLA, priority support, and custom deployment options tailored to large organizations.
Code & Development No-code & Automation
Build complex AI applications visually, from prototype to production, without development expertise.
💰 Rate
Freemium, starting $35/month
🆓 Free trial
Yes
🌐 Languages
🇬🇧 English
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