Flowise
Visual drag-and-drop builder for LLM workflows, agents, and RAG pipelines — now part of Workday.
Flowise is profiled here as a Prompt Engineering tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Short Intro: Flowise is an open-source, low-code AI workflow builder founded in 2023 by Henry Heng and Chung Yau Ong through Y Combinator's S23 batch. Workday (NASDAQ: WDAY) acquired the company in August 2025 when the project had accumulated over 42,000 GitHub stars and was processing millions of workflows with a team of five employees. The platform and Apache 2.0 open-source codebase continue to operate under Workday, with the enterprise roadmap now oriented toward AI agent building for HR and finance use cases.
Key Capabilities:
Three visual builders: Assistant for beginners, Chatflow for single-agent and RAG configurations, and Agentflow for multi-agent orchestration with branching and looping
Drag-and-drop node canvas connecting 100+ LLMs, embedding models, and vector databases
RAG pipeline builder with document loaders, chunking, vector store, and retrieval steps as visual components
Chatbot builder with tool calling, memory, and knowledge retrieval
API endpoint exposure and embeddable chat widget for deploying flows into production applications
Self-hosted and air-gapped deployment for teams with data sovereignty requirements
LangChain, LangGraph, and LlamaIndex integration wrapped as visual nodes
Pre-built templates for SQL agents, data analyst agents, and common workflow patterns
Alternative tools
- Dify
Open-source AI workflow platform with 131,000 GitHub stars and its own orchestration runtime.
- Langfuse
Open-source LLM engineering platform for tracing, evaluation, and prompt management.
- PromptForge
Prompt engineering workbench for crafting and evaluating LLM prompts.