Honest pros, cons, and verdict on this automation & workflows tool
✅ Visual builder backed by real LangChain/LlamaIndex code — full framework power without writing boilerplate, with 35,000+ GitHub stars validating community trust
Starting Price
Free
Free Tier
Yes
Category
Automation & Workflows
Skill Level
Low Code
Open-source no-code AI workflow builder and visual LLM application platform with drag-and-drop interface. Build chatbots, RAG systems, and AI agents using LangChain components, supporting 100+ integrations.
Flowise is an open-source agentic systems development platform that lets you build AI agents and LLM applications visually through a drag-and-drop interface, with the core platform available free for self-hosting and managed cloud options available for teams seeking hosted deployment. The project has amassed over 35,000 GitHub stars since its initial release, reflecting strong community adoption among developers and non-technical teams building conversational AI solutions.
At its core, Flowise provides two primary workflow modes: Chatflow for building single-agent chatbots with retrieval-augmented generation (RAG) and tool calling, and Agentflow for orchestrating multi-agent systems where multiple coordinated agents handle complex task decomposition with handoffs between them. The platform ships with a component library of over 100 integrations spanning LLM providers (OpenAI, Anthropic, Google, Cohere, Mistral, and local models via Ollama), vector databases (Pinecone, Weaviate, Qdrant, ChromaDB, Milvus, pgvector), cloud platforms (AWS, GCP, Azure, Railway), and communication tools (Slack, Discord, Twilio). This breadth of connectors means teams can wire together their preferred stack without writing custom integration code.
per month
per month
Open-source Python framework that orchestrates autonomous AI agents collaborating as teams to accomplish complex workflows. Define agents with specific roles and goals, then organize them into crews that execute sequential or parallel tasks. Agents delegate work, share context, and complete multi-step processes like market research, content creation, and data analysis. Supports 100+ LLM providers through LiteLLM integration and includes memory systems for agent learning. Features 48K+ GitHub stars with active community.
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Learn more →Flowise delivers on its promises as a automation & workflows tool. While it has some limitations, the benefits outweigh the drawbacks for most users in its target market.
Open-source no-code AI workflow builder and visual LLM application platform with drag-and-drop interface. Build chatbots, RAG systems, and AI agents using LangChain components, supporting 100+ integrations.
Yes, Flowise is good for automation & workflows work. Users particularly appreciate visual builder backed by real langchain/llamaindex code — full framework power without writing boilerplate, with 35,000+ github stars validating community trust. However, keep in mind requires understanding langchain/llamaindex concepts — the visual interface doesn't abstract away framework complexity.
Yes, Flowise offers a free tier. However, premium features unlock additional functionality for professional users.
Flowise is best for Building RAG chatbots with document Q&A capabilities — load TXT, PDF, RTF, DOC, HTML, CSV, MD, or SQL files and visually configure retrieval pipelines without writing LangChain boilerplate code and Prototyping multi-agent systems using Agentflow — orchestrate workflows distributed across coordinated agents for complex tasks like research, content generation, or customer support routing. It's particularly useful for automation & workflows professionals who need workflow runtime.
Popular Flowise alternatives include CrewAI, Microsoft AutoGen, LangGraph. Each has different strengths, so compare features and pricing to find the best fit.
Last verified March 2026