WHAT IS IT?
Flowise is an open source platform for building AI agents and workflows with drag-and-drop. You visually wire nodes (LLMs, retrievers, memory, tools, custom functions) on a canvas, and end up with an executable LangChain pipeline immediately exposed through a REST API or an embeddable chat widget.
WHY IS IT INTERESTING?
- Pipeline visualisation: Seeing an agent's topology (prompt → retriever → LLM → tool → memory) makes debugging and handoff easier. Faster to iterate on than a pure-code LangChain pipeline.
- Integration-rich: OpenAI, Anthropic, Mistral, Ollama, Hugging Face, plus dozens of vector stores (Pinecone, Chroma, Qdrant, pgvector…), loaders, embeddings and memories.
- Multi-agent: Natively builds systems where multiple agents collaborate (supervisor, workers, hand-off), not just a linear chain.
- API + widget: Every flow automatically exposes a REST endpoint and a chat widget you can drop into a web app. No glue code needed to ship.
- Self-hosted: Docker, K8s, AWS/GCP/Azure, Railway… Data and API keys stay on your infra, unlike pure SaaS competitors.
USE CASES
- Quickly prototype a RAG chatbot over an internal documentation base
- Build an agent that calls business APIs (CRM, billing) through tools
- Hand a working AI POC to a non-dev product team
- Orchestrate a multi-agent system (research, writing, validation) without coding
- Expose an AI workflow as an API to integrate into an existing application