Flowise
Assemble chatbots and multi-agent workflows on a drag-and-drop canvas without writing backend code. Acquired by Workday in August 2025 and being integrated into their platform.
The verdict on Flowise: Developers who want to build LLM pipelines visually instead of writing LangChain code directly Flowise is a drag-and-drop node interface over LangChain, which means the chains, agents, and RAG pipelines available are real, just wired together without a coding layer. Pricing: Free (self-host) / Free tier Cloud / $35/mo Starter. Last reviewed: August 2026.
Best For
Developers who want to build LLM pipelines visually instead of writing LangChain code directly
Standout Feature
A drag-and-drop node interface exposing chains, agents, and RAG pipelines without a coding layer
TL;DR
Genuinely useful for no-code LLM workflows, complex flows still get hard to debug visually.
Alternatives
Overview
Flowise is an open-source visual builder for LLM applications that uses a drag-and-drop node interface to wire together language models, vector stores, retrievers, memory modules, and external tools into complete AI pipelines without requiring code for the configuration layer. Built on top of LangChain's primitives, Flowise exposes chains, agents, RAG pipelines, and tool-using systems as configurable visual flows, making LLM application architecture understandable and modifiable by team members without deep framework expertise. Teams use it to build: customer support chatbots trained on company documentation, internal research assistants grounded in organizational knowledge bases, multi-step research agents that combine web search with document retrieval, and API-integrated workflows that connect LLM processing with business system actions. The node library covers all major LLM providers, vector database integrations, document loaders, text splitters, memory types, and tool connectors, providing components for complete application construction.
Self-hosted deployment requires Docker and a supported database; the setup process is well-documented and straightforward for teams comfortable with containers. Flowise Cloud provides a managed version for teams without infrastructure management resources. The embedded chat widget deploys finished applications as a chatbot on any website. With over 38,000 GitHub stars, Flowise is among the most-used open-source LLM builders, particularly for teams who want LangChain's capabilities through a visual interface rather than code.
Our Take
The acquisition by Workday in August 2025 adds long-term platform questions worth tracking, though the product continues operating. The honest limit is debugging: complex visual flows get hard to trace when something breaks, and performance tuning still requires understanding the underlying LangChain behavior. This fits a developer who wants to build and iterate on LLM pipelines without writing backend configuration code, accepting that deep customization will eventually require going under the canvas.
Key Features
- Visual flow editor
- 100+ built-in integrations
- RAG pipeline support
- Agent and tool chaining
- Self-hostable
- API deployment
- • No code required for complex LLM workflows
- • Huge library of pre-built nodes
- • Active open-source community
- • Complex flows can be hard to debug visually
- • Performance tuning requires understanding underlying LangChain
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