What is Flowise AI?
Flowise AI is an open-source generative AI development platform for building AI agents, LLM orchestration, and more. It provides a low-code, visual interface that enables developers to create and manage powerful workflows using large language models. Whether you’re developing single-agent chat assistants or coordinating multiple agents with shared logic, FlowiseAI offers the tools to streamline design, testing, and deployment across a variety of use cases.
Flowise AI Features
- Modular visual flow builder: Drag-and-drop interface to design agent workflows—from chatbots to autonomous multi-agent systems.
- Multi‑agent orchestration (Agentflow): Coordinate multiple agents with branching, loops, and sharing state across flows.
- Chat assistant flows (Chatflow & Assistant): Build single-agent systems with tool-calling and RAG support from diverse data sources.
- Human‑in‑the‑loop (HITL): Pause workflows for human approval or feedback using Human Input nodes.
- Execution traces & observability: Full tracing integration with Prometheus, OpenTelemetry, and visual debugging.
- APIs, SDKs & embedded widgets: Extend and integrate with TypeScript/Python SDKs, REST API, CLI, and embedded chat components.
- Production-ready scalability: Support for cloud/on‑prem deployment, horizontal scaling, message queues, and.
- Wide integrations & vector DB support: Over 100 external services supported—including LLMs, embeddings, vector stores (e.g. Pinecone, Milvus), databases, MCP tools like Zapier, GitHub, etc.
- Utilities and flow controls: Custom JS functions, variable getters/setters, conditionals, loops, sticky notes for complex logic.
Flowise AI Use Cases
- AI agent orchestration: Coordinate multiple agents with memory, tools, and shared context using AgentFlow.
- Conversational AI assistants: Build chatbots with tool-calling, document retrieval (RAG), and multi-turn memory.
- Human-in-the-loop workflows: Add manual approval or feedback steps to automated processes for quality control or compliance.
- Document-based Q&A systems: Create assistants that can search and respond based on PDFs, CSVs, Notion, and other sources.
- Embedding AI in web or mobile apps: Use SDKs or embedded widgets to deploy chat interfaces inside custom applications.
- Internal automation tools: Automate internal workflows using external APIs, logic flows, and third-party integrations.
- Custom AI app prototyping: Quickly build and test AI-powered tools with minimal code for internal or client use.
Flowise AI Pricing Plans
- Free (Freemium): Up to 2 flows/assistants, 100 predictions/month, 5 MB storage, community support.
- Starter – $35/month: Unlimited flows, 10 k predictions/month, 1 GB storage.
- Pro – $65/month: 50 k predictions, 10 GB storage, multiple workspaces, team roles & priority support.
- Enterprise – Custom: On‑prem deployment, air‑gapped support, SSO/SAML, audit logs, SLA.
For the latest pricing information, please refer to FlowiseAI’s pricing page.
Conclusion
Flowise AI stands out as a powerful, developer‑friendly platform for visually building and scaling LLM‑based agents and workflows. From rapid prototyping to enterprise deployment, it offers comprehensive integration, observability, and team collaboration tools. Its freemium tier lowers the barrier to entry, while paid plans add robust scalability and support. If you’re looking for an open‑source alternative to LangFlow or n8n—especially one that integrates multi‑agent orchestration and HITL capabilities—FlowiseAI is a compelling choice.
